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ACTA UNIVERSITATIS UPSALIENSIS UPPSALA 2017 Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine 1290 Fractures of the distal radius Factors related to radiographic evaluation, conservative treatment and fracture healing ALBERT CHRISTERSSON ISSN 1651-6206 ISBN 978-91-554-9796-5 urn:nbn:se:uu:diva-312931

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Page 1: Fractures of the distal radius - DiVA portaluu.diva-portal.org/smash/get/diva2:1065374/FULLTEXT01.pdf11 Introduction The distal radius fracture (DRF) is the most common occurring type

ACTAUNIVERSITATIS

UPSALIENSISUPPSALA

2017

Digital Comprehensive Summaries of Uppsala Dissertationsfrom the Faculty of Medicine 1290

Fractures of the distal radius

Factors related to radiographic evaluation,conservative treatment and fracture healing

ALBERT CHRISTERSSON

ISSN 1651-6206ISBN 978-91-554-9796-5urn:nbn:se:uu:diva-312931

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Dissertation presented at Uppsala University to be publicly examined in Rosénsalen, Ing95/96, Akademiska Sjukhuset, Uppsala, Friday, 3 March 2017 at 09:00 for the degree ofDoctor of Philosophy (Faculty of Medicine). The examination will be conducted in Swedish.Faculty examiner: Docent Karl-Åke Jansson.

AbstractChristersson, A. 2017. Fractures of the distal radius. Factors related to radiographicevaluation, conservative treatment and fracture healing. Digital Comprehensive Summariesof Uppsala Dissertations from the Faculty of Medicine 1290. 124 pp. Uppsala: ActaUniversitatis Upsaliensis. ISBN 978-91-554-9796-5.

Distal radius fractures (DRFs) are one of the most common injuries encountered in orthopaedicpractise. Such fractures are most often treated conservatively, but surgical treatment has becomeincreasingly common. This trend is not entirely scientifically based

The aims of this thesis were threefold: to increase measurement precision in dorsal angulation(DA) on radiographs and computer tomographies (CTs); to assess the results after shortenedplaster cast fixation time in reduced DRFs; and to evaluate the feasibility and safety of applyingAugment® (rhPDGF-BB/β-TCP) in DRFs.

In Paper I and Appendix 1 and 2, a semi-automatic CT-based three-dimensional method wasdeveloped to measure change in DA over time in DRFs. This approach proved to be a better(more sensitive) method than radiography in determining changes in DA in fractures of thedistal radius.

In Paper II, a CT model was used to simulate lateral radiographic views of different radialdirections in relation to the X-ray. Using an alternative reference point on the distal radius,precision and accuracy in measuring DA was increased.

Paper III and IV are based on a prospective and randomised clinical study (the GitRa trial)that compares clinical and radiographic outcomes after plaster cast removal at 10 days versus 1month in 109 reduced DRFs. Three patients in the early mobilised group were excluded becauseof fracture dislocation (n=2) or a feeling of fracture instability (n=1). For the remaining patientsin the early mobilised group (51/54) a limited but temporary gain in range of motion, but aslight increase in radiographic displacement were observed. Our results suggest that plaster castremoval at 10 days after reduction of DRFs is not feasible.

Paper V is based on a prospective, randomised clinical study (the GEM trial) in which 40externally fixated DRFs were randomised to rhPDGF-BB/β-TCP into the fracture gap or tothe control group. Augment® proved to be convenient and safe during follow-up (24 weeks).However, because of the nature of the study design, the effect on fracture healing could not bedetermined. A decrease in pin infections was seen in the Augment® group, a finding we couldnot explain.

Albert Christersson, Department of Surgical Sciences, Orthopaedics, Akademiska sjukhuset,Uppsala University, SE-75185 Uppsala, Sweden.

© Albert Christersson 2017

ISSN 1651-6206ISBN 978-91-554-9796-5urn:nbn:se:uu:diva-312931 (http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-312931)

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To my heroes and idols: Christina Malin, Johanna and Oskar

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This thesis is based on the following papers

I Christersson. A., Nysjö. J., Berglund L., Malmberg. F., Sintorn IM.,

Nyström I, Larsson. S. (2015) Comparison of 2D radiography and a semi-automatic CT-based 3D method for measuring change in dorsal angulation over time in distal radius fractures. Skeletal Radiology, 2016 Jun; 45(6):763-9

II Christersson. A., Larsson. S.

Increased precision in the measurement of dorsal angulation in distal radius fractures using the dorsal-ulnar corner as the reference point versus Lister´s tubercle. Manuscript.

III Christersson. A., Larsson. S., Östlund. B., Sandén. B. (2016)

Radiographic results after plaster cast fixation for 10 days versus 1 month in reduced distal radius fractures: A prospective randomised study. Journal of Orthopaedic Surgery and Research, 2016 Nov 21;11(1):145

IV Christersson. A., Larsson. S., Sandén. B. (2016)

Clinical outcome after plaster cast fixation for 10 days versus 1 month in reduced distal radius fractures: A prospective randomised study. Submitted.

V Christersson. A., Sandén. B., Larsson. S. (2015) Prospective random-

ized feasibility trial to assess the use of rhPDGF-BB in treatment of distal radius fractures. Journal of Orthopaedic Surgery and Research, 2015 Mar 21; 10:37

Reprints were made with permission from the publisher

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Contents

Abbreviations .................................................................................................. 9 

Introduction ................................................................................................... 11 

Background ................................................................................................... 13 Classification of distal radius fractures .................................................... 13 Radiographic measurements..................................................................... 14 Treatment considerations ......................................................................... 22 Conservative treatment ............................................................................. 24 Operative treatment .................................................................................. 27 Evaluation of treatment ............................................................................ 30 Fracture healing ........................................................................................ 32 

Aims .............................................................................................................. 35 

Methods ........................................................................................................ 36 Radiographic studies ................................................................................ 36 

CT-based 3D measurement of DA (paper I) ........................................ 36 An alternative reference point for DA measurements (paper II) ......... 39 

Clinical studies ......................................................................................... 42 The GitRa trial (paper III and IV) ........................................................ 42 The GEM-trial (paper V) ..................................................................... 50 

Results and discussion .................................................................................. 54 Radiographic studies ................................................................................ 54 

CT-based 3D measurement of DA (paper I) ........................................ 54 An alternative reference point for DA measurements (paper II) ......... 59 

Clinical studies ......................................................................................... 64 The GitRa trial (paper III and IV) ........................................................ 64 The GEM trial (paper V) ..................................................................... 77 

Conclusions ................................................................................................... 89 

Sammanfattning på svenska .......................................................................... 90 

Future perspectives ....................................................................................... 92 

Acknowledgements ....................................................................................... 93 

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Appendices .................................................................................................... 95 Towards User-Guided Quantitative Evaluation of Wrist Fractures in CT Images ................................................................................................ 95 Precise 3D Angle Measurements in CT Wrist Images ............................. 95 

References ................................................................................................... 115 

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Abbreviations

AC Axial compression CRP Central reference point CT Computer tomography DA Dorsal angulation DASH Disability of the arm, shoulder and hand DRF Distal radius fracture DRU joint Distal radioulnar joint EF External fixation GEM Name of trial on growth-factor enhanced ma-

trix (paper V) GitRa Gipstid radius. Swedish name for the trial on

early mobilisation after DRF (paper III and IV)

RA Radial angulation RC joint Radiocarpal joint RSA Roentgen spectrophotometric analysis TFCC Triangular fibro cartilage complex VLP Volar fixed-angle locking plate XR Radiography

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Introduction

The distal radius fracture (DRF) is the most common occurring type of frac-ture treated in humans [1]. It is often associated with osteoporosis [2] and is therefore most common in women over 50 years of age [3]. However, it can affect all age groups, from small children to elderly people. The DRF covers a wide range of severity, from minimally displaced extra-articular fractures after low energy trauma to severely comminuted intra-articular fractures after high energy trauma. Its typical clinical feature, the dorsally displaced and angulated wrist, can be obvious and dramatic. Hippocrates believed that the pronounced malalignment was caused by a dislocation of the wrist joint [4], but in 1814 Abraham Colles understood that the condition was caused by a fracture in the distal part of the radius [5]. A DRF with dorsal displace-ment of the distal fragment still bears the eponym ‘Colles’ fracture’ (Figure 1).

Figure 1. Typical bajonet shaped deformity of a Colles’ fracture.

However, it was first after Lister’s work on antisepsis in 1867 and Wilhelm Roentgen’s discovery of electromagnetic radiation in 1895 that it became possible to arrive at the correct diagnosis and to treat these fractures opera-tively in a safe way as an alternative to conservative treatment. During the past decades, the treatment of DRFs has undergone striking change, both regarding an increase in the frequency of surgical procedures (instead of conservative treatment) as well as in open versus percutaneous methods. These changes in treatment policies are not entirely scientifically based, but rely more on a modern trend towards fixation with volar fixed-angle locking

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(VPL) plates in combination with a resignation of the shortcomings of con-servative treatment.

It is important that the treatment of DRFs relies on evidence-based medi-cine, and not on the orthopedic surgeons’ personal preferences. In addition to increased health costs, an unrestrained overuse of volar plates will lead to a decrease in knowledge and understanding of less expensive methods, such as conservative treatment and percutaneous fixations. To achieve success in conservative treatment it is mandatory to have good skills in fracture reduc-tion and plaster cast fixation. As would be expected, the less the method is used, the inferior the outcome. During the past decades, research on DRFs has mainly focused on operative treatment, which has given added support to the use of volar plates. In the light of this trend it is even more important to focus on what benefits conservative methods can bring to modern treatment of DRFs. A long-standing problem in evaluating different treatments of DRFs has been the low precision and agreement of conventional radiog-raphy. To be able to correctly evaluate fracture displacement before and after different kinds of treatments, to find reliable connections between radio-graphic displacement and residual disability and to establish well-founded treatment guidelines for DRFs it is crucial to increase the accuracy and pre-cision of radiographic measurements in DRFs.

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Background

Classification of distal radius fractures The DRF is located at the most distal end of the metaphysis of the radius, close to the wrist joint. The fracture can either be an extra-articular fracture through the metaphysis, a partial intra-articular fracture through a segment of the metaphysis, or, which is a common situation, a combination of both an intra- and extra-articular fracture. Significant efforts have been made to find a useful classification of DRFs, but it has proven to be difficult to create a classification that not only describes the spectrum of injuries but also helps in deciding the best treatment and that has a high reliability. Historical ex-amples of classifications of DRFs, which nowadays are used less frequently, are the classifications of Gartland and Werley, Lidström, Older and Fryk-man. Some of these classifications have high inter-observer reliability, but the real benefit from these classifications in alerting physicians to the right treatment has been questioned. The Fernandez classification is based on the mechanism of injury causing the fracture. This classification system helps in understanding the spectrum of fractures in the distal radius, but does not help the physician in the choice of treatment.

In a scientific context the most commonly used classification is the one by the Swiss Association for the Study of Internal Fixation (ASIF/AO). This classification has an advantage in being universal for fractures in the whole body and therefore easy to understand and use for most orthopaedic sur-geons. Every part of the skeleton has a unique number in the AO classifica-tion: the DRF has number 23. The fractures are divided into three groups. ‘A’ refers to an extra-articular fracture, ‘B’ to an intra-articular fracture of a segment of the metaphysis, and ‘C’ to a combination of ‘A’ and ‘B’, i.e. a fracture through the entire metaphysis and a fracture into the joint. These three groups have subgroups depending on the comminution of the fracture lines. Thus, the AO classification can describe the severity of the fracture. The reliability of the classification system is high but, unfortunately, the reliability decreases when dealing with subgroups.

The most useful classification for deciding the type of operative treatment of an intra-articular DRF is the ‘fragment specific system’ based on the work of Mellone [6] and modified by Leslie [7] (Figure 2). This system describes the major articular fragments that may occur in a DRF: the radial column, ulnar corner, dorsal wall, volar rim and free intra-articular fragments. To-

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gether with the ‘three column model’ by Rikli [8], it helps in choosing ap-proaches and implants preoperatively. Other important injuries, which are not included in the above-mentioned classifications but often co-exist with a DRF are the injuries in the distal radioulnar joint (DRU joint) or in the carpal region. Fractures at the base of the ulnar styloid process or ruptures in the triangular fibrocartilage complex (TFCC) may cause instability in the DRU joint, which has a negative effect on clinical outcome [9]. Scaphoid frac-tures and ligamentous injuries between the scaphoid and the lunate bone are examples of carpal injuries that can coexist with a DRF and may need treat-ment in addition to the DRF.

Additional to the radiographic appearance of a DRF, an analysis of the characteristics of the patient is also important when classifying and deter-mining treatment of a DRF. The patient´s age, level of activity and bone quality are important factors in treatment decision making. So far, no classi-fication system has successfully included these patient-related factors.

Radiographic measurements A DRF can displace in any direction, both in terms of angulation and

sideward dislocation. However, some patterns of fracture movements are more common than others. The most common direction of displacement is dorsal angulation (DA), which gives the wrist its characteristic bayonet-shaped appearance (Figure 1). A DRF with DA bears the eponym Colle’s fracture. Two other common directions of fracture displacement are radial

Figure 2. . Fragment specific system; a) Radial column (styloid) b) dorsal wall c) ulnar corner d) volar rim.

a

cb

d

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angulation (RA) and axial compression (AC). All three types of malalign-ment can be quantified, where the magnitude of these measurements is con-sidered to describe the severity of the DRF. In addition to angulation and compression, the distal fragment in a DRF can displace sideward, either in the frontal or in the lateral plane (or both). The main consequence of a side-ward displacement is that the cortical contact between the fragments is de-creased, leading to impaired stability of the fracture and increased risk of additional displacement.

On the radiographs, the comminution, both in the articular surface in an intra-articular fracture and in the main fracture gap, is visualised. DA often leads to some degree of comminution on the dorsal side of the fracture and RA often to some degree of comminution on the radial side. The more com-minuted fracture, the more unstable the fracture tends to be, leading to an increased predisposition for redisplacement to its initial position, or to an even worse position than initially, after a reduction has been performed.

The literature can give the impression that the technique for measuring displacement of a DRF is well-anchored among radiologists and orthopaedic surgeons. However, articles that report results of radiographic measurements of DA, RA and AC seldom describe in detail how these measurements have been performed. At best, there are two-dimensional (2D) simplified draw-ings of the distal radius with lines connecting landmarks that are easy to define on the drawings (Figure 3).

Figure 3. Schematic drawings of the measurements on radiographs of a) dorsal an-gulation, b) radial angulation, c) axial compression

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DA is measured on the lateral radiograph as the angle between a line con-necting the most distal volar and dorsal margins of the articular surface and a line perpendicular to the long axis of the radius [10, 11] (Figure 4). The long axis of the radius is drawn through the center of the distal radius at 2 and 5 cm from the joint line [12] (Figure 15). When measuring RA and AC, the central reference point (CRP) must be identified to avoid the possibility that the values of RA and AC are affected by the degree of DA [13] . This point lies in the sigmoid notch, midway be-tween the volar-ulnar and dorsal-ulnar corners of the joint surface, close to the DRU joint. If the X-ray beams were parallel to the joint line, the volar- ulnar and dorsal-ulnar corners of the joint surface coincide and form the CRP. However, if the X-ray beams were not parallel to the joint line (e.g., in severely dorsally angulated fractures), the volar and dorsal margins of the articular surface diverge and the point midway between the volar- ulnar and dorsal-ulnar corners of the joint line constitutes the CRP. The CRP is the ulnar landmark of the line that represents the joint surface when measuring RA and AC [13] (Figure 5).

Figure 4. Measurement of dorsal angulation on lateral view

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The radial angle is measured on the frontal view as the angle between the joint surface, from the top of the radial styloid to the CRP, and a line per-pendicular to the long axis of the radius [10] (Figure 6). The AC is measured on the frontal radiograph along a line that is parallel to the long axis of the radius, as the distance between the top of the ulnar head and the CRP [14] (Figure 7). Previously, shortening of the radius was measured as the distance from the top of the radial styloid to the top of the head of the ulna along a line that is parallel to the axis of the radius, called the radial height or radial shift [10]. However, because this value is influenced not only by the shorten-ing of the radius but also by the RA of the articular surface, this way of de-scribing shortening of the radius is no longer being used.

Figure 5. The central reference point (red arrow) is used for measurements of radial angulation and axial compression, and is defined as the point midway between the volar and dorsal margins (black arrows) of the joint surface at the DRU-joint .

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Figure 6. Measurement of radial angulation on radiograph.

Figure 7. Measurement of axial compression on radiograph.

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These descriptions of radiographic measurements are easy to understand

and well-established among orthopaedic surgeons. However, when looking at a real radiograph, not just a simplified drawing, the number of pitfalls is obvious. Several reference points have been identified on the volar and dor-sal sides of the joint, and the size of DA depends on which reference points that are used [15]. The most commonly used reference points on the articular surface when measuring DA are the most distal volar and dorsal margins of the joint. These points are the teardrop on the volar side, located close to the DRU joint, and the Lister’s tubercle on the dorsal side, located midway be-tween the DRU joint and the radial styloid. Only in a true lateral image of the wrist are these structures well-defined. The definition of a true lateral image is when the forearm is in neural rotation, i.e. when the volar margin of the pisiform bone lies within the middle third of the part of the scaphoid bone that protrudes volar to the capitate bone. In addition, in a lateral radio-graph of the arm the X-ray beams should be tilted 15o radially for better as-sessment of the ulnar part of the articular surface of the radius [16-18].

A conventional radiograph is a 2D image of a three-dimensional (3D) ob-ject. This circumstance causes sources of error when characterising DRFs (e.g., when measuring an angle including the joint line). A conventional radiograph lacks depth in the picture and therefore all the contours unite into the same plane. This problem results in a blurred impression, making it diffi-cult to distinguish all contours reproducibly, especially when consecutive images, unintentionally taken in slightly different positions, are compared. For instance, the teardrop on the volar side of the wrist joint looks different when pictured in slightly different projections.

A change in position, in supination/pronation or in radial/ulnar direction, from one image to another of the same wrist, will affect the value of DA even though no actual change in angulation has occurred [15, 17, 19]. The reason for this is that the reference points, which are used for measurements, move in relation to each other if the position of the wrist changes between two images. These movements, in turn, change the values of the angles measured on the radiographs. Because the teardrop, which is the reference point on the volar side of the joint, lies more ulnar compared with Lister’s tubercle, which is the reference point on the dorsal side of the joint, ulnar deviation of the X-ray from the desired 15˚ radially directed view when the picture is taken, results in a lower value for DA. Further, radial deviation of the X-ray from the desired 15˚ radially directed view results in a higher val-ue for DA, just by changing the direction of the X-ray. This source of error could be avoided if reference points, which lay opposite one another (i.e. at the same distance as each other from the DRU joint) were used to create the line through the joint. In that case ulnar or radial deviation of the X-ray will not change the relationship between the volar and dorsal reference points in

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the joint when looking at the wrist in the lateral view. The dorsal-ulnar cor-ner [6, 7, 20] of the distal radius joint line lies nearly opposite to the volar teardrop. If using the dorsal-ulnar corner as the dorsal reference point, the problems with low reliability in DA measurements may be reduced (Figure 8. On the other hand, finding the dorsal-ulnar corner on the lateral projection of the distal radius is more difficult than finding Lister’s tubercle, a circum-stance that can reduce the positive effects of choosing a more adequate ref-erence point.

It has been shown that the reliability in measuring DA, RA and AC on ra-diographs is low and that these methods are not precise enough to make treatment decisions or evaluate outcome in DRF [21, 22]. Hitherto, meas-urement of radiographs in a scientific context has been investigated by com-paring radiographs to radiographs, both intra- and inter-individually. In this way only the reliability and not the validity of radiography has been exam-ined. To be able to determine whether radiography is a valid method, meas-urements on radiographs have to be compared with a more exact reference standard, but no such method exists. The most optimal situation would be to find a radiographic method that is valid, reliable, inexpensive and gives low radiation. This method could be used in daily practise when dealing with DRFs. The second-best situation would be to find a method that at least is valid and reliable. This method could be used as a reference standard to op-timise the validity and reliability of more available methods, such as radiog-raphy. Roentgen spectrophotometric analysis (RSA) is a valid method for accurate measurements of movements between two bone segments. Howev-er, multiple metallic beads must be implanted in every bone segment. Con-sequently, RSA is impractical to use, especially when conservative treatment methods are examined. Computer tomography (CT) gives 3D images and therefore has the potential for accurate measurements of fracture displace-ments, but no methods to date based on CT have proven applicable for this purpose [23, 24] .

When the two clinical studies in this dissertation (the GitRa and GEM-trial) were completed and the radiographs were to be assessed, it became evident that the precision of the radiographic measurements were unaccepta-bly low, especially for DA. This is because the measurements proved to be highly dependent on the direction of the X-ray at the time the images were taken. We decided to develop a more precise method for measuring DA on CT in the hope that it would increase our understanding of DA measurement and on which a better method for DA measurements on radiography could be based.

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Figure 8. Two lateral views of a wrist taken at the same follow-up in slightly different radial directions of the X-ray. The two upper and the two bottom images are identical. On the two images on the left, the conventional reference point, i.e. Lister’s tubercle, has been used for measuring dorsal angulation, and on the two images on the right side the dorsal-ulnar corner has been used. No actual dis-placement has occurred between the images. Anyway, when using Lister’s tuber-cle, the value of DA changes, but almost not when using the dorsal-ulnar corner.

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Treatment considerations A DRF can be described as somewhat stable. When a fracture is described as stable, it has relatively little inherent tendency for further displacement, ei-ther from its primary position or from a reduced position. The degree of frac-ture stability depends on several factors, including bone contact, fracture comminution, degree of displacement and bone quality.

A radiographic factor known to represent a high degree of instability of a DRF is AC [25]. Another important radiographic factor to assess the stability of a DRF is whether the volar cortex is displaced. If the volar cortex were displaced, the fracture is highly unstable. This circumstance also applies for the stability after reduction. If a displaced volar cortex were reduced, the stability is much higher compared with whether the volar cortex remains displaced [26]. Increasing age of the patient, presence of osteoporosis and dorsal comminution are other factors related to increased fracture instability in a DRF [25, 27]. When treating a DRF, the physician must assess the de-gree of displacement and the stability of the fracture, and then decide about reduction and what kind of additional stability the fracture needs during the healing process to avoid malunion.

The fracture stability can be increased by different treatment strategies. Conservative treatment with a plaster cast increases fracture stability only partially. It is tempting to believe that the magnitude of increased stability depends on how the plaster cast is applied. An expedient plaster cast, with three-point support to counter the dorsal bending deformity of the DRF, originally described by John Charnley [28], is considered to provide more stability to a wrist fracture than a flat splint on the dorsal side of the extremi-ty. John Charnley stated, “…it takes a curved cast to produce a straight bone”. Although this quotation has been repeated over the years in varying settings on conservative treatment of DRF, it has never been scientifically verified.

It is well-known that a plaster cast fixation is unable to retain all the im-proved fracture position achieved when a DRF is reduced. It seems as though AC is the most difficult displacement to retain in a plaster cast and that the AC often returns to its initial position after conservative treatment [29-34]. DA, on the other hand, is often retained to some extent in the plaster cast; RA adopts an intermediate position between AC and DA during a ten-dency to return to the initial position when a DRF is treated conservatively [32, 33, 35]. The magnitude of redisplacement during conservative treatment in a plaster cast is also dependent on the age of the patient. The older the patient, the more the fracture will redisplace in a plaster cast, which is due to inferior bone quality with advanced age [29, 36-38]. There seems to be a dividing line at about 60 years of age, after which fracture instability during conservative treatment increases substantially [37, 39-41]. This means that in conservative treatment of DRFs the physician must plan for some degree of

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displacement after the reduction, anticipate the final deformity and decide whether the expected final deformity is acceptable for the patient in ques-tion.

There is no well-defined consensus on what type and size of displacement that causes residual disability after the treatment of a DRF. Moreover, there is a widespread belief among orthopaedic surgeons that the final radiograph-ic appearance of a DRF affects clinical outcome to only a limited extent. Long ago the belief was that patients with DRFs reach full recovery inde-pendent of the final radiographic deformity. Some newer studies have sup-ported this opinion [35, 42-44]. However, this conclusion has been refuted. Today, the most established opinion is that there is a connection between the final radiographic deformity and the remaining clinical disabilities after a DRF [31, 45-49]. The fact that patients with symptomatic malunions after DRFs achieve better function after corrective osteotomies has also been tak-en as proof that there is a correlation between deformity and disability [50].

The radiographic parameter most associated with poor outcome after a DRF is the amount of AC. According to previous studies, a remaining AC of 2-5 mm after treatment is associated with a poorer outcome [45, 51-53]. For RA and DA, the results are inconclusive. A final DA of ˃15-20O or a RA ˂ 5-15O from a line perpendicular to the long axis is likely to give an exacer-bated clinical result [45, 52, 54, 55]. If different types of deformity co-exist, a smaller amount of displacement is needed for residual disability: for exam-ple, 1 mm of AC together with 10O of DA gives significantly more persistent disability compared with only compression or DA separately [48]. In addi-tion, intra-articular incongruity of ˃ 2 mm results in posttraumatic arthritis and poor clinical outcome in young adults [56].

The clinical effects of a malunion after a DRF have been shown to be age-dependent. The older the patient, the clinical outcome will be less affected by the persisting deformity [57-59]. Hence, the physician must take in mind that the older the patient, the more unstable the fracture, but at the same time, the more acceptable the deformity. This equation is difficult to transfer into clinical practise. In recent years it has been shown that it is not high age per se that makes residual deformity acceptable. The acceptance of deformi-ty depends more on the preceding functionality level of the patient. A study has shown that in low-demand patients ˃ 60-65 years of age there is no con-nection between radiographic and functional outcome, with functional re-sults often good despite fracture malunion [60, 61]. A consequence of this result is that moderately displaced DRFs in low-demand patients aged 60-65 years or older can be treated conservatively, even if a perfect reduction has not been achieved or retained during the treatment. When conservative treatment was compared with volar plate fixation for moderately displaced DRFs in patients ˃ 65 years of age, the conservatively treated group achieved significantly inferior grip strength and radiographic end result, but

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all other parameters, including functional scores, did not differ between the groups [62]. It seems that malunion after a DRF leads to decreased grip strength [43] and that the need for a certain amount of grip strength can be used when differentiating low-demand from high-demand patients. Only patients that tolerate low grip strengths, independent of age, will do well despite residual deformity. A study on exclusively active and high-demand elderly patients over 60 years old showed a relationship between residual deformity and reduced functional outcome after a DRF in this group of pa-tients. The study also showed that the radiographic limit values for avoiding permanent disability after a DRF are the same for elderly high-demand pa-tients ˃ 60 years as for younger adults [63]. Another factor to consider is that operative treatment in patients ˃ 65 years results in more complications than conservative treatment [64].

Internal fixation, i.e. VLP, provides high fracture stability. However, small fracture movements can occur even when the plate is correctly applied [65]. The external fixator (EF) lies midway between internal fixation and conservative treatment in fracture stability support. An EF in a DRF most often bridges the wrist joint. During treatment, the ligaments over the wrist joint will be somewhat elongated because of the distraction forces from the fixator. This leads to some degree of fracture instability as well as subse-quent small movements in the fracture. It is also known that a patient with osteoporosis, which often coexists with a DRF, will have significantly more secondary displacement in the fracture during treatment in an EF compared with a patient with normal bone quality [66]. However, EF is still signifi-cantly more stable than conservative treatment in patients with osteoporosis [67]. In conservative treatment the displacement occurs mainly during the first two weeks after plaster cast application, but in EF most of the displace-ment occurs later during treatment [68]. Both a plaster cast and an EF must be removed after approximately 4-6 weeks to avoid joint stiffness. Several studies show that a DRF is not completely healed and stable after 4-6 weeks [32, 69-72]. However, the late fracture movements that occurred after the removal of the plaster cast, k-wire or EF in these studies were small and most often not clinically meaningful. This means that the fracture can further displace to some degree after the plaster cast or EF has been removed. On the contrary, a VLP is only occasionally removed and only after completed fracture healing. Therefore, only a limited amount of late fracture displace-ment occurs after VLP.

Conservative treatment In DRFs conservative treatment is the most commonly used treatment. Even though the proportion of operative treatment is increasing, 80% of all DRFs

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are still treated conservatively. Conservative treatment in undisplaced frac-tures consists of plaster cast fixation in-situ, and in displaced fractures of closed reduction and plaster cast fixation. The conventional fixation time in a plaster cast is 4-6 weeks (Figure 9).

An orthopaedic surgeon is taught to always achieve good reduction in an extra-articular fracture close to a joint. The DRF is peculiar in that the anat-omy of the wrist does not have to be totally restored after a fracture to achieve acceptable function, partly because of some preexisting overcapacity in the range of motion of the wrist. Small residual deformities can still lead to full recovery.

An orthopaedic surgeon is also taught to avoid extended periods in a plas-ter cast. In the lower extremity plaster cast fixation is often not recommend-ed because of long fracture healing time; in the shoulder and elbow immobi-lisation should be avoided because even a short time of fixation can lead to persistent stiffness of the joints. Even in this matter the DRF is peculiar in that it heals relatively fast and is not known to develop a permanently de-creased range of motion in the long run even after extended times of immo-bilisation [73]. Not even after surgical treatment is the wrist joint sensitive to immobilisation. In a comparison between immobilisation in a plaster cast for 2 versus 6 weeks after volar plate fixation of DRFs no differences between the treatment groups in range of motion, grip strength or functional scores were seen at the 3- or 6-month follow-up [74].

There is wide agreement that minimally displaced DRFs (DA<5o) can be treated conservatively without plaster casts and still heal in the same radio-graphic position as with plaster cast fixation [75-77]. There are divergent opinions, however, on the functional benefits of the treatment without plaster

Figure 9. Traditional plaster cast fixation of a distal radius fracture. The cast covers approximately two-thirds of the circumference of the lower arm, preferably on the dorso-radial side, and extends from just below the antecubital fossa to the metacar-pal-phalangeal joints.

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cast in these studies. In one study the active group had better functional re-sult after 1 year [75]; in another study the active group had only temporary better functional results compared with conventional plaster cast fixation [77]; and in a third study no differences in functional outcome were found between the groups. In slightly more displaced fractures, some of them being reduced, 3 weeks versus 5 weeks of plaster cast fixation were compared. The findings indicated no differences in radiographic or functional outcome in two studies [78, 79], but a small increase in RA and a temporary increase in functional outcome in the early mobilised group were seen in another study [80].

Sarmiento introduced and advocated the conservative method of function-al bracing of DRFs in the 1970s [81, 82], but he never evaluated the treat-ment in comparison with other methods. Later, one study showed that Sar-miento’s functional brace leads to a temporary better functional result com-pared with conventional plaster cast fixation early in the rehabilitation phase, but not to any permanent benefits over time [83]. The active group in this study displaced slightly more in RA compared with the control group. An-other study comparing Sarmiento’s brace against conventional plaster cast fixation did not show any differences between the groups in functional or radiographic outcomes [84]. In the era following Sarmiento´s theories on early functional treatment numerous studies were performed comparing con-ventional conservative treatment of DRFs, i.e. 4-6 weeks in a plaster cast, with fixation in braces covering the lower arm down to the styloid process of the radius but without immobilising the wrist joint. Long-term advantages in functional outcome in favour of the active group treated with this kind of brace were seen only in one study, in which the range of motion, but not grip strength, was better in the active group at 6 months [85]. In the other studies only temporary functional benefits, but no long-standing positive effects, were noted in the active groups [86-88].

Sarmiento himself used a rigid brace over the dorsal aspect of the wrist that inhibited dorsal extension in the wrist joint but permitted volar flexion. It also extended proximally over the elbow - restricting rotation - but permit-ted elbow flexion and extension (Figure 10). The other type of brace, as mentioned above, extended down to the radial styloid, but did not pass over the wrist joint, and proximally it did not include the elbow.

All these orthoses were created to support the DRF as much as possible without preventing movements of the wrist or usage of the hand. A possible negative effect of less rigid fixation is increased fracture displacement dur-ing treatment. However, most of these studies, comparing clinical and radio-graphic results after different kinds of functional bracing following DRFs, have shown the same radiographic outcome compared with traditional plas-ter cast fixation for 4-6 weeks. These results, showing unaffected radio-graphic outcomes after early mobilisation in comparison with plaster cast

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fixation, suggest that a preserved fracture position after a DRF depends more on the inherent stability of the fracture itself (because of interference be-tween the fracture fragments) than on the additional stability that a plaster cast provides. Hence, the fracture position is not affected by early removal of the plaster cast. On the other hand, the fractures in these studies were mainly slightly displaced and not always reduced before fixation. Thus, these frac-tures had some degree of stability from the beginning. The previously men-tioned study by de Bruijn showing increased RA after treatment with Sar-miento’s functional brace as compared with conventional cast fixation was made on fractures with different degrees of displacement [83]. Even frac-tures with severe displacements had been included. None of the other re-ferred studies had included severely displaced fractures. The difference in radiographic outcome between the two treatment groups in de Bruijn’s study, together with the fact that also severely displaced fractures had been included in the study, implies that conventional plaster cast fixation may ultimately have a stabilising effect in some DRFs.

Operative treatment The first surgical method described to stabilise a DRF was a percutaneous pin by Lambotte in 1908. However, it was first in the 1970s that multifocal percutaneous pinning became a common surgical method, mostly thanks to the work of Kapandji [89]. The EF of DRFs was introduced by Anderson

Figure 10. Sarmiento´s functional bracing of Colle´s fractures (Clin Orthop Relat Res, 1980 (146): p.176)

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and O’Neil in 1944, but it was not until the 1980s that the use of EFs became widespread through Vidal’s work on ligamentotaxis [90] (Figure 11).

With the beginning in 1958, the AO group in Switzerland started to de-

velop techniques for internal fixation of fractures in general. However, in DRFs fixation with plates and screws lacked popularity. Due to basic princi-ples of stability, dorsally displaced DRFs needed to be stabilised with a dor-sal plate; however, a plate on the dorsal side of the wrist caused a high fre-quency of irritations of the tendons. Therefore, EF and multifocal percutane-ous pinning remained the most commonly used surgical treatments for dis-placed DRFs in the 1980s, 1990s and mid-2000s. After the introduction of fixed-angle locking plates on the volar side of the wrist (VLP) for dorsally displaced DRFs in 2002 [91], the use of VLP increased rapidly (Figure 12). In 2006, the VLP and the EF changed position as the most commonly used device for surgical treatment of displaced DRFs in Sweden [92]. At that time, there was only sparse scientific support for the rapid change in treat-ment regime from EF to VLP. The change in treatment was based more on the orthopaedic surgeon’s personal preferences. During the years that fol-lowed, only a few studies concluded that VLP, instead of percutaneous tech-niques, produces a better outcome [93-95]. Most of the studies comparing EF and VLP have concluded that the VLP is superior to EF in relation to clinical outcome only during the early phase of treatment, but the differences are no longer significant after 12 months [96-104]. Several meta-analyses have concluded that VLP can be advantageous in active patients who benefit

Figure 11. Hoffman Compact II external fixation of a distal radius fracture. Two percutaneous pins were placed in the second metacarpal bone, and two pins in the radius. The rest of the device bridged the fracture (and the wrist joint) externally.

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from rapid mobilisation [105-108]. The only parameters that differ between the groups at 12 months are a statistically significant, but clinically less im-portant, improvement in functional scores and radiographic parameters, par-ticularly in AC (in favour of VLP versus EF). However, there is a higher frequency of reoperations in the VLP group. In recent years, in which the popularity of the VLP has continued to increase, the proportion of DRFs treated surgically has also markedly increased. In 2005, 16.0% of all DRFs in Sweden were treated surgically. In 2010, this number had increased to 20.2%, being most pronounced in females aged 50-74 years [92].

VLP leads to somewhat different complications than conservative treat-ment and EF. The rate of major complications after VLP, defined as tendon- or hardware-related problems leading to reoperation, nerve injuries or com-plex regional pain syndrome, is approximately 6-27% [109-112].

Figure 12. Volar fixed-angle locking plating of a distal radius fracture

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Evaluation of treatment In a historic perspective outcome after DRFs in scientific studies has been measured in terms of objective evaluation based on radiographic end result and measurements of physical capabilities. The physical evaluations have consisted of grip strength, measured by a Dynamometer (Figure 13), pinch strength, measured by a Pinch meter (Figure14), and range of motion in the radio-carpal joint (flexion, extension, radial deviation and ulnar deviation) and in the DRU joint (supination and pronation), measured by a Goniometer. Grip strength, pinch strength and range of motion of the injured wrist are compared with the uninjured side, with differences used for comparison. The range of motion is often symmetric in persons previously uninjured in the wrists and the range of motion in the right and left wrist is therefore inter-changeable. In contrast, grip strength is not symmetric. The most accepted opinion is that in right-handed persons the right hand is approximately 10% stronger than the left hand [113, 114]. However, in right-handed persons the difference in hand strength between the right and left hand decreases with increasing age [115, 116]. In left-handed persons the left hand is equally strong as the right hand [114, 117].

Figure 13. Jamar dynamometer for measurement of grip strength.

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In addition to the objective evaluation, the degree of pain experienced by the patient is an important aspect when evaluating the end result after a DRF. For this purpose, different types of pain assessment scale are used: the Nu-meric Pain Rating Scale, Verbal Pain Intensity Scale or, most commonly, Visual Analog Scale (VAS). On a VAS, the patient marks the point that rep-resents the amount of pain on a continuous line between two verbally pre-sented extreme values. The position on the line is transferred to a numeric value by measuring the distance from the start of the scale. Different kinds of pain can be queried: pain at rest, pain during exercise or the average value of the pain experienced within a certain period (e.g., during the past 24 hours). Even though the VAS provides the investigator with numerical val-ues, it is important to remember that the VAS is an ordinal and not an inter-val scale [118]. The VAS can be used as a separate value or as one of many items in a complex evaluation score.

In the 1980s, different rating systems were introduced, which also includ-ed the patient’s subjective experience of the end result. From this moment on, the evaluation of fracture treatment in a scientific context was based on three components: radiographic, physical and subjective evaluation. Such assessment scores, based on physical and subjective evaluation, are called functional assessment scores. The first developed functional assessment scores were primarily based on pain and objective measurements. However, it was the doctor who filled in the protocols and the scores were not tested for reliability or validity. The most commonly used early assessment score after DRFs was the Demerit point system introduced by Gartland and Wer-

Figure 14. Pinch meter for measurement of finger pinch strength.

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ley in 1951 [119], later modified by Sarmiento [81]. Other well-known as-sessment instruments are the de Bruijn score [83] and the Smith and Cooney modification [120] of the Mayo wrist score [121], which, in turn, was a mod-ification of the Green and O’Brien score [122].

The scores used today, originally developed in the 1990s, pay more atten-tion to the patients’ subjective experience of the outcome. The newest evalu-ation scores are solely based on the patients’ own experience, integrating both physical and subjective evaluation by simply asking the patients ques-tions about specific difficulties in activities of daily living or about their own experience of their summative health. This type of evaluation, called health-related quality of life (HRQoL), deals with the psychosocial consequences and functional impact of an injury. A major advantage with this design is that the evaluation can be performed without the involvement of the physi-cian when outcome data are recorded. The protocol is filled in by the pa-tients as patient-reported outcome measurements (PROMs) and can either be generic, i.e. focusing on general health and quality of life, or disease- or region-specific. A generic health score is preferable when different kinds of health-related problems are compared, but region-specific scores are more appropriate when evaluating different treatment options for a specific diag-nosis or injury. The most well-known and commonly used generic assess-ment scores are the EQ5D (EuroQol) from 1990 [123] and the SF-36 (Short-Form Health Survey) from 1992 [124]. The MFA (Musculoskeletal Function Assessment) questionnaire from 1996 [125] is a region-specific evaluation scale and was originally designed to detect small differences in functioning among patients with musculoskeletal disorders in the extremities. A short version of the score (Short Musculoskeletal Function Assessment, SMFA) was developed in 1999 [126]. When evaluating DRFs, it is often preferred to use a more region-specific scale for the upper extremity or the wrist. The DASH (Disability of the Arm, Shoulder and Hand) was created in 1996 [127] as an assessment scale for injuries in the upper extremity. This tool was translated into Swedish and validated in 2000 [128]. It has been widely used for outcome measurements after DRFs, but is more appropriate for evaluating complex injuries in the upper extremity [129, 130]. The Patient-Related Wrist Evaluation (PRWE) was created in 1998 [131] as a specific evaluation scale for wrist injuries; it was translated into Swedish and validat-ed in 2009 [132, 133]. The PRWE is the most studied and used PROM today for DRFs [134] .

Fracture healing The process of fracture healing is most often described in cortical bone and can be simplified into four stages: an initial hemorrhagic phase the first

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week after the fracture, a proliferative phase the following weeks, a callus formation phase after the first month until the fracture is healed and a re-modelling phase the following years [135]. In contrast, a fracture in cancel-lous bone heals with no or limited callus formation [136]; rather, the bone formation is mainly restricted to the fracture gap. However, the healing ca-pacity is larger in cancellous bone than in cortical bone [137] because of the larger bone surface, better blood supply and thicker periosteum [138]. The amount of callus formation in cortical bone depends on the stability of the fracture. Some interfragmentary bone movements are needed to induce heal-ing [139]. But then, too large interfragmentary movements may cause hyper-trophic non-union [140]. The healing of metaphyseal bone also follows these biomechanical principles [141].

A fracture that is rigidly fixed, such as with a plate and screws, heals with primary bone healing. Rigid fixation of a fracture results in intramembranous ossification, i.e. the fracture heals with calcified bone without going via car-tilage formation. A fracture that is not rigidly fixed, such as with a plaster cast, an external fixator or an intramedullary nail, heals with secondary bone healing. This is called endochondral ossification, which means that a frac-ture, because of some degree of instability, first is filled with cartilage tissue and later with calcified bone.

The fracture healing process consists of a complex range of interactions at the cellular level. Platelets, monocytes and fibroblasts release a series of growth factors that stimulate differentiation of mesenchymal-derived cells, cellular proliferation and angiogenesis. The most well-known growth factors are the bone morphogenic proteins (BMPs), the transforming growth factors (TGFs), the insulin-like growth factors (ILGFs), the platelet-derived growth factors (PDGFs) and the fibroblast growth factors (FGFs). In 1965, it was shown that demineralised bone matrix induces new bone formation [142]. The first growth factor that was isolated from bone was the BMP in 1979 [143]. Later, different subtypes of BMPs were identified and cloned [144, 145]. Several clinical studies have demonstrated the efficiency of BMPs in accelerating fracture healing [146, 147]. Historically, local administration of autogenous bone graft has been used to stimulate fracture healing, but be-cause of donor-site complications [148] and lack of harvestable grafts in patients with osteoporosis or prior autograft surgery, a need for alternative approaches to induce fracture healing has been suggested. For clinical use, rhBMP-2 and rhBMP-7 have, until recently, been available for local admin-istration in non-unions, bone defects and arthrodesis. Although BMP seems to be as effective as autogenous bone graft in the treatment of tibial non-unions [149], autogenous bone graft remains the gold standard in the treat-ment of non-unions [150].

PDGF is an early initiator of wound healing and bone generation [151]. PDGF is responsible for the early phases of the bone healing cascade and is

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both a more powerful chemotactic agent and a stronger mitogen for mesen-chymal stem cells compared with BMP-2 [152, 153]. This dual action in the early phase of bone healing has created expectations of PDGF being a more potent substitute to autologous bone graft than BMP-2 and BMP-7. PDGF also promotes angiogenesis [154]. PDGF is a whole family of growth fac-tors and is only active in the form of a dimer. PDGF-BB is the only isomer that binds to all known types of PDGF receptor and has therefore been used in clinical studies. Both in vitro and in vivo preclinical studies have shown that rhPDGF-BB stimulates bone formation [155, 156]. In animal studies (rats and rabbits) rhPDGF-BB had a stimulatory effect on fracture healing [157, 158]. So far, there are few clinical studies assessing the potential stim-ulating effect of PDGF on bone regeneration in humans. Local application of rhPDGF-BB gave a significant gain in bone formation in advanced perio-dontal osseous defects [159]. In studies on foot fusions rhPDGF-BB was found to represent a safe and efficacious treatment alternative to autologous bone graft [160-162]. There are no available studies in humans in which an rhPDGF-BB-containing matrix has been used in acute fractures or non-unions. An important issue in using local administration of a growth factor in fractures, non-unions and arthrodesis is the type of biomaterial that the growth factor is mixed with. The property of this biomaterial determines the concentration and duration of the release of the growth factor. In therapeutic use recombinant human PDGF (rhPDGF-BB) is often combined with a re-sorbable osteoconductive scaffold, beta tricalcium phosphate (β-TCP) gran-ules.

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Aims

Paper I To compare the reliability and agreement of a CT-based method and digital-ised 2D radiographs when measuring change in DA over time in DRFs. Paper II To compare the precision and accuracy of DA measurements in DRFs when using the ulnar corner on the dorsal side of the joint versus the generally accepted Lister’s tubercle as the reference point. Paper III To compare the radiographic outcome of plaster cast removal at 10 days versus 1 month after reduction in moderately displaced DRFs. Paper IV To compare incidence of treatment failures and the clinical outcome of plas-ter cast removal at 10 days versus 1 month after reduction in moderately displaced DRFs. Paper V To evaluate the feasibility, safety and potential use of locally administered rhPDGF-BB/β-TCP (Augment®) in acute DRFs.

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Methods

Radiographic studies CT-based 3D measurement of DA (paper I) In paper I images of 33 DRFs treated with external fixation were retrospec-tively assessed. The fractures had been included in the GEM trial assessing safety and utility of Augment® (rhPDGF-BB/β-TCP) (Paper V). The frac-tures were examined with both radiography (XR) and CT six times at specif-ic intervals postoperatively after closed reduction and EF. The study was retrospective and conducted on anonymous archived images. Because the study did not handle sensitive personal information, ethical approval was not obtained.

DA on XR and CT were measured twice by two independent assessors. On XR, DA was measured digitally on the lateral view using software (Web 1000, AGFA) that calculated the angle between two manually placed lines. The first line connected the volar and dorsal margins of the joint while the second line was perpendicular to the long axis of the radius. The reference points on the joint line were the volar teardrop and Lister’s tubercle (Figure 15).

On CT, DA was measured with a newly developed user-guided 3D tech-nique (Appendix 1 and 2). In this technique the joint surface was marked on the postoperative scans (Figure 16a) through three user-defined landmarks (Figure 16b). The joint surfaces of the scans in the same patients were semi-automatically fitted to the first scan (Figure 16c). The long axis of the radius was taken from a calculation of the normals (i.e. vectors perpendicular to the bone surface) of a 2-cm long segment. The normals were gathered in a dense ring around the shaft and a line perpendicular to the ring was used as the long axis of the radius (Figure 16d). The DA between the joint surface and the long axis of the radius was calculated in each scan (Figure 16e). The 3D-CT technique required at least 2 cm of the radius proximal to the fracture. Not all CT images in the GEM trial fulfilled this criterion. Totally, 133 ex-aminations from 33 patients were assessable and the number of adequate consecutive CT examinations per patient was six (n=5), five (n=8), four (n=8), three (n=7) and two (n=5).

The first examination of each patient (for both XR and CT) was used as a reference and the following examinations in every patient were compared

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Figure 15. DA on XR was measured on the lateral view of the wrist. A line was drawn between the most distal volar and dorsal margins of the joint of the distal radius (a). A second line was drawn along the longitudinal axis of the radius through the centre of the distal radius at 2 and 5 cm from the joint line (b). DA was calculat-ed as the angle between the line through the joint (a) and a line (c) perpendicular to the longitudinal axix of the radius (b). Volar angulation in relation to the perpen-dicular line was marked with negative values and dorsal angulation in relation to the perpendicular line (as in the image above) was marked with positive values.

with this reference. In total, 133 examinations in 33 patients gave 100 changes in DA from one reference value to the corresponding follow-up.

Two assessors (author AC and JN) performed the evaluations on all the XR and CT images independently. Further, all measurements were repeated one more time on the same XR and CT images independently by the two assessors.The intra- and inter-observer agreement within XR and CT and between XR and CT were calculated using Bland Altman plots [163]. The measurements were represented on graphs by assigning the means of two measurements on the x-axes and the differences between the two measure-ments on the y-axes. In each of these analyses the mean difference and the limits of agreement (±2SD) were calculated and marked on the graphs. A value close to zero for the mean difference implies similar validity for the two methods of measurement. The limits of agreement imply that 95% of the

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differences in measurements between the two methods will be within these limits. Whether a limit of agreement is acceptable has to be based on a clini-cal judgement of the actual size of the fracture movements. If the limits of agreement are considered acceptable, then the two methods are exchangea-ble. In this study we used XR as the existing reference method for measuring change in DA over time in DRFs while the new CT-based method was ap-plied as the method to be evaluated.

Figure 16. Overview of the three-dimensional angle measurement technique

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An alternative reference point for DA measurements (paper II) The official instructions for taking a true lateral view of the wrist is to aim the X-ray exactly perpendicular to the frontal view. Considerable efforts are made to avoid incorrect positioning in rotation of the wrist. The ulnar edge of the hand should lie on the examining table with the radial side of the hand facing up. In this way, the lower arm lays parallel to the cassette, with the wrist imaged perpendicular to the long axis of the radius [164]. However, it is sometimes recommended to tilt the X-ray 10o radially (Figure 17) to gain a better view of the joint surface [165]. When the precision and accuracy of dorsal angular measurements on lateral views has been studied more closely, comparing DA in different radial directions, the results are consistent: a lat-eral view of the wrist should be taken with the X-ray directed 15o radially because of the anatomic radial inclination in a non-displaced DRF [16-18] (Figure 17). However, this knowledge has not had full impact in the instruc-tions to the radiographic staffs.

In paper II, archived CTs of six healed DRFs in patients with a mean age of 63 years (range 59-74) from the GEM trial were retrospectively examined. The fractures had been treated with closed reduction and EF, healing in a near-anatomic position. The study was retrospective and conducted on anon-

a b

Figure 17. Direction of the X-ray in relation to the wrist in lateral radiographic projection. a) Perpendicular to the long axis of the ra-dius. b) 15o radial direction of the X-ray in relation to the perpendic-ular line.

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Directions of X-ray

0o 4o 7o 10o 13o 17o 20o

ymous archived images. The study did not deal with sensitive personal in-formation and therefore ethical approval was not required.

The CT images were presented in 3D mode and made transparent, mak-ing them appear as 2D radiographies. The 3D images were rotated in the horizontal plane until the radius and ulna were projected on top of each other and thus looking like a lateral radiographic projection. The images were gradually radially directed in seven angles from a line perpendicular to the long axis of the radius to 20o radially in relation to the perpendicular line of the radius: 0o, 4o, 7o, 10o, 13 o, 17 o and 20o (Figure 18). The range from 0o to 20o was used in that it covers the different directions mentioned in the litera-ture and we therefore anticipated that it represents the majority of directions taken in clinical everyday practise.

The joint line was defined either as a line between the volar teardrop and the most distal edge on the dorsal side of the joint surface, which is usually represented by Lister’s tubercle, or as a line between the volar teardrop and the second most distal edge on the dorsal side of the joint surface (Figure 19 and 20). This reference point is usually represented by the dorsal-ulnar cor-ner of the joint [6, 7, 20]. The same perpendicular line to the long axis of the radius was used for both measurements. The two angles were measured in all seven positions of radial directions in each of the six patients. Positive values were used for dorsal angulation and negative values for volar angulation in relation to a line perpendicular to the long axis of the radius.

The results from measuring DA from seven positions of the wrist using two reference points on the dorsal side of the joint are presented in graphs. The individual results for each patient and the mean result for all fractures

Figure 18. The CT images of the wrists were gradually radially directed so that it looked like they had been imaged in seven different radial directions, from 0o to 20o

in relation to a line perpendicular to the long axis of the radius.

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are presented in separate graphs. In each graph one line is drawn to connect the measurements using the conventional reference point, i.e. Lister’s tuber-cle, and one line for connecting the measurements using the alternative ref-erence point, i.e. the dorsal-ulnar corner.

Figure 19. Three-dimensional computed tomography image of the distal radius from the volar side. The volar teardrop (V) is marked on the volar side of the joint. On the dorsal side, the conventional reference point at Lister’s tubercle (L) and the alternative reference point at the dorsal-ulnar corner close to the distal radio-ulnar joint (U) are marked.

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Clinical studies The GitRa trial (paper III and IV) In the GitRa trial (paper III and IV) consecutive DRFs with a moderate dis-placement, defined as DA of 5-40o and AC of 4 mm or less, treated with

Figure 20. Three-dimensional computed tomography image of the distal radius from the ulnar side. DA was measured using two reference points on the dorsal side of the joint surface; Lister´s tubercle (L) and the dorsal-ulnar corner (U). Ac-cording to the conventional method, DA is the angle between a line connecting the volar teardrop (V) and the most distal point on the dorsal side (i.e. Lister’s tuber-cle) (L), and a line perpendicular to the long axis of the radius. According to the alternative method tested in this study, DA is measured as the angle between a line connecting the volar teardrop (V) and the second most distal edge on the dorsal side (i.e. the dorsal-ulnar corner) (U), and a line perpendicular to the long axis of the radius.

L

UV

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closed reduction and plaster cast fixation at the emergency department at Uppsala University Hospital between September 2002 and December 2008, were screened for inclusion. The study was approved by the Ethical Com-mittee of Uppsala University and informed consent was obtained from all patients according to the ethical guidelines of the Helsinki Declaration. In all, 109 patients met the inclusion and exclusion criteria (Table 1). These patients were randomised at the follow-up at 10 days (range 8-13 days) after the reduction to either removal of the plaster cast (active group, n=54) or to continued fixation in a plaster cast for another 3 weeks (control group, n=55) (Figure 21). Three patients fulfilled the inclusion criteria, but declined to participate before the randomisation.

The patients who were treated with removal of the plaster cast at the 10-day follow-up after reduction received an elastic bandage around their wrist, then instructed to move their wrist freely to the best of their ability, but to avoid painful activity and heavy weight lifting. At 1 month, a physiothera-pist, not involved in the study, gave identical instructions to the active and control groups about rehabilitation.

Table 1. Inclusion and exclusion criteria in the GitRa trial.

INCLUSION CRITERIA DRF treated with closed reduction and plaster cast fixation Initial dorsal angulation 5-40o Initial axial compression ≤ 4mm Intra-articular step-off ≤ 1 mm Age ≥ 50 years Low energy trauma Closed fracture Reduction within 3 days after injury Intact distal ulna (except for the styloid process of the ulna) EXCLUSION CRITERIA

Previously injured ipsilateral or contralateral wrist Dementia Inflammatory joint disorder Dorsal angulation > 25° at the 10-day follow-up Axial compression > 4 mm at the 10-day follow-up

All fractures were prospectively followed at 1 (range 4-5 weeks) and 12

(range 11.5-12.5) months after reduction with X-rays, and at 1, 4 (range 3.5-4.5 months) and 12 months after reduction with clinical evaluations by a research physiotherapist (Table 2). The clinical assessments at the follow-

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ups consisted of grip and pinch strength, range of motion and pain (VAS). The presence of adverse events and treatment failures were registered at all follow-ups. Treatment failure was defined during the first month as problems leading to abandonment of the given treatment and after the first month as poor outcome leading to surgical treatment of a malunited fracture. At 1 month, X-ray and clinical examinations were also performed on the unin-jured wrist.

Figure 21. Flow chart in the GitRa trial.

The radiographs were measured for DA, RA and AC by one of the au-thors (AC). Changes in displacements from admission to 12 months and from 10 days to 1 month were compared between the active and control groups.

Follow-up at 10 days Randomisation (n=109)

Follow-up at 1 month (n=53)

Follow-up at 12 months (n=51)

Acute wrist fractures Reduction and plaster cast fixation

Continued plaster cast fixation (n=55)

Follow-up at 1 month Removal of plaster cast

(n=55)

Follow-up at 4 months (n=55)

Plaster cast fixation because of perceived instability n=1

Removal of plaster cast (n=54)

Surgical treatment because of fracture displacement n=1

Follow-up at 4 months (n=52)

Follow-up at 12 months (n=51)

Surgical treatment because of fracture displacement n=1

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A Jamar dynamometer was applied to assess grip strength in the hand and a pinch meter for pinch strength in the pinch grip. The patients performed three consecutive compressions with the Jamar dynamometer and the pinch meter at each follow-up: the third compression should not be the highest. If the third compression was the highest, a fourth compression was performed and the first compression was omitted, and so on, until the last compression was not the highest. The average value of the three compressions for each instrument was recorded. Since the 10 % rule for grip strength has been questioned [115, 116, 166], the differences in hand strength between the groups were calculated both with and without using the 10% rule. A goni-ometer was used to measure the range of motion in the wrist (flexion, exten-sion, supination and pronation). Differences in grip- and pinch strength and range of motion, between the injured and uninjured side were calculated at each follow-up.

Pain was assessed using a VAS scale from 0 (no pain)-10 (intolerable pain). At each follow-up, the patients were told to set the VAS scale on a level that represented the average pain experienced during the past 24 hours. The values were expressed with one decimal place. At the follow-ups, the question about pain was asked before plaster cast removal in both groups to avoid the possibility of registering additional pain immediately after cast removal. At 12 months, three evaluation scores were used: the de Bruijn Score, modified by Christersson & Sanden (Figure 22), the Mayo Wrist Score, modified by Smith & Cooney (Figure 23), and the Demerit point sys-tem of Gartland and Werley, modified by Sarmiento and by Christersson & Sanden (Figure 24).

The power calculation was based on the change in DA from admission to 12 months. We assumed that the standard deviation for the change in DA from admission to 12 months was 10o. The study was powered to detect a difference between the groups of 5o, which is our estimation of a clinically relevant difference between the groups. For a 5% significance level and a power of 80%, a sample size of 63 patients in each group was needed. For baseline characteristics, student’s t-test was used when comparing means and Fisher’s exact test when comparing proportions. Concerning the results in radiographic measurements, grip strength, pinch strength, range of mo-tion, and physician-based scoring systems, means with 95% confidence in-tervals (CIs) were used for presentations in graphs or tables, and Student’s t-test was conducted to determine differences at the follow-ups. All these pa-rameters were normally distributed, as seen on histograms and in the Shapiro-Wilk W test for normality (>0.95). The measurements of pain were not normally distributed and therefore compared using the Mann-Whitney U test, as well as graphically presented with medians and 25th and 75th percen-tiles. P-values ˂ 0.05 were considered significant. The Bonferroni method was used to adjust for multiple comparisons.

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Table 2. Follow-up assessments in the GitRa trial

Radio-

graphy

Range of

motion

Grip

strength

Pain

(VAS)

Functional

scores

Acute x

Post reduction x

10 days x x

1 month x x x x

4 months x x x

12 months x x x x x

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Figure 22. de Bruijn scoring system for functional treatment of Colles fractures [83].Modified by Christersson & Sandén 2003: two points for ulnar deviation and two points for radial deviation have been replaced by eight points for pinch strength. Highest possible score has increased from 158 to 162 points.

Complaints Score

a. pain while resting 10 b. pain while moving 8

c. pain during heavy work/excessive motion (if b=0) 4

d. numbness or paresthesia in the fingers 3

e. restricted basic daily life activities 10

f. pain while wringing out clothes (if b+c=0) 3

g. loss of power 3

h. subjective judgement of the end result 5 or 10

i. open question for complaints (if a+b+c+h=0) 1 or 2 or 3

Motion in the wrist region 0-40% 40-60% 60-80% 80-90%

dorsal flexion 5 4 3 2

volar flexion 5 4 3 2

pronation 5 4 3 2

supination 5 4 3 2

Motor functions of the hand 0-40% 40-60% 60-80% 80-90%

dynamometer 8 5 3 2

pinch meter 8 5 3 2

abnormal impossible making a fist 8

finger extension 8

opposition 8

opening a door 5 8

weight lifting 5 8

picking up a pen 5 8

crumpling a piece of paper 5 8

lifting a cup and saucer 5 8

Signs and symptoms

swelling of hand/fingers 5

skin atrophy/hyperaesthesia/hyperhidrosis 4

ulnar compression pain 2

abnormal colour 2

Cosmetics

cosmetic appearance 2 or 3 or 5

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Figure 23. Modified Mayo Wrist Scoring Chart (Smith and Cooney) [120]

Score

Pain (25 points)

No pain 25

Mild pain during vigorous activities 20

Pain only during weather changes 20

Moderate pain during vigorous activities 15

Mild pain during activities of daily living 10

Moderate pain during activities of daily living 5

Pain at rest 0

Satisfaction (25 points)

Very satisfied 25

Moderately satisfied 20

Not satisfied, but working 10

Not satisfied, unable to work 0

Range of motion (25 points)

Percentage of normal

100% 25

75-99% 15

50-74% 10

25-49%

0-24% 0

Grip strength (25 points)

Percentage of normal

100% 25

75-99% 15

50-74% 10

25-49% 5

0-24% 0

Final result Points

Excellent 90-100

Good 80-89

Fair 65-79

Poor ≤65

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Figure 24. Modified Gartland and Werley Demerit wrist point system (Sarmiento) [81]. Modified by Christersson & Sandén 2003: three points for ulnar deviation and one point for radial deviation have been removed. Highest possible score has thereby decreased from 39 to 35 points.

Residual deformity (range, 0-3 points) Score

Prominent ulnar styloid 1

Residual dorsal tilt 2

Radial deviation of hand 2-3

Subjective evaluation (range, 0-6 points)

Excellent no pain, disability or limitation of motion 0

Good occasional pain, slight limitation of motion,

and no disability 2

Fair occasional pain, some limitation of motion,

feeling of weakness in wrist, no particular

disability if careful, activities slightly restricted 4

Poor pain, limitation of motion, disability and

activities are markedly restricted 6

Objective evaluation (range, 0-5 points)

Dorsiflexion <45º 5

Supination <50º 2

Palmar flexion <30º 1

Circumduction 1

Pain in the distal radioulnar joint 1

Grip strength ≤60% 1

Pronation <50º 2

Complication (range, 0-5 points)

Arthritic change

Minimum 1

Minimum with pain 3

Moderate 2

Moderate with pain 4

Severe 3

Severe with pain 5

Nerve complications (median) 1-3

Poor finger function due to cast 1-2

Final results (range of points)

Excellent 0-2

Good 3-8

Fair 9-20

Poor ≥21

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The GEM-trial (paper V) Forty consecutive patients with a displaced unstable DRF at the Department of Orthopedics, Uppsala university Hospital were included between October 2005 and December 2007 (Table 3). The study was approved by the Ethical Committee of Uppsala University and all patients gave written informed consent before entering the study according to the ethical guidelines of the Helsinki Declaration. Each patient underwent surgical treatment that includ-ed closed reduction and a bridging EF with Hoffman compact II external fixation system. The patients were then randomised in the operating room. The two treatment groups included one group where, in addition to closed reduction and EF, Augment® (rhPDGF-BB/β-TCP) was applied locally into the fracture void (n=20) through a short dorsal incision. The controls were treated with EF alone (n=20). In the Augment® group the first 10 patients were treated with Augment® Bone Graft, whereas the last 10 patients were treated with Augment® Injectable. Augment® Bone Graft and Augment® Injectable are two separate formulations that combine rhPDGF-BB (0.3 mg/ml) with a synthetic bone matrix consisting of β-tricalcium phosphate (β-TCP). Augment® Injectable also contains soluble Type I collagen (Kensey Nash Corp.; Exton, PA), which makes it injectable through a cannula. In the Augment® group a one centimeter dorsal incision over the fracture site was made. Using an elevator, the cancellous bone inside the fracture void was slightly impacted to allow for insertion of 5 ml of Augment® Bone Graft in the fracture void in the first cohort or 3 ml of Augment® Injectable in the last cohort. In both groups the amount of rhPDGF-BB delivered to each pa-tient was 0.3 mg. In both treatment groups pin sites were covered with sterile gauze that was changed twice a week. All EFs were removed after 6 weeks (Figure 25).

Radiographs were taken postoperatively and at 1-, 3-, 6-, 12- and 24-week follow-ups. The patient met a physician (one of the authors) at all these fol-low-ups in order to detect possible complications, including assessment of pin sites, redness and swelling. A pin infection was defined as redness and swelling around a pin that required treatment with antibiotics [167]. A re-search physiotherapist measured grip strength, range of motion (ROM), DASH scores and pain (VAS scale) according to a specific protocol on all visits. Because of the EF, the only range of motions that were possible to measure at 1 and 3 weeks were supination and pronation. At 6, 12 and 24 weeks, flexion, extension and radial- and ulnar deviation were also meas-ured. Grip strength was measured using a Jamar Dynamometer and active range of motion was measured with a goniometer. Differences in range of motion and grip strength between the injured and uninjured side were calcu-lated at each follow-up. At 3 weeks, X-ray and clinical evaluation were also performed on the uninjured side. Bone mineral density (BMD) was meas-

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ured in the uninjured wrist within 4 weeks. Fracture healing was assessed at 6, 12 and 24 weeks by an independent radiologist (Table 4). A fracture was defined as healed when three cortices were bridged by bone.

Table 3 Inclusion and exclusion criteria in the GEM trial.

INCLUSION CRITERIA: Unstable distal radius fracture unsuitable for conservative treatment Low energy trauma Closed fracture Age ≥ 50 years Intact distal ulna (except for the styloid process of the ulna) EXCLUSION CRITERIA: Bilateral fractures Intra-articular displacement Fractures involving the shaft of the radius Previously injuries of the ipsilateral or contralateral wrist Soft tissue infection at the operative site Patients undergoing radio- or chemotherapy Patients with a metabolic disorder or chronic medication known to adversely affect the skeleton Physically or mentally compromised patients

The clinical and radiographic comparisons between the active and control group at all follow-ups were primarily made to detect any kind of complica-tion or problem related to Augment® (rhPDGF-BB/β-TCP), which was in-jected into the fracture gap in the active group. For the same reason, a thor-ough search for complications, or any other abnormal findings, was conduct-ed at all follow-ups. The study was sponsored by BioMimetical Therapeutics Inc. and all data were entered in digital case report forms (CRFs) supervised by a monitor ensuring complete documentation of device-related anticipated and unanticipated adverse events. The monitor performed on-site monitoring at specific intervals to verify adherence to the protocol.

The amount of redisplacement in DA, RA and AC from postop to 24 weeks, assessed by two of the authors (AC and BS), was used as an indirect sign of fracture healing. Although the study had both an active and a control group, the study was primarily not designed (powered) to detect a potential benefit in clinical or radiographic results for the active group. However, a post hoc power analysis was carried out. With the present number of pa-tients in each group (n1= n2 = 20) and with the observed standard deviation, a difference in DA of 4o, RA of 3o and AC of 1 mm between the groups from postop to 24 weeks could have been detected with β=0.80 and α=0.05.

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For baseline characteristics, student’s t-test was used when comparing

means and Fisher’s exact test when comparing proportions. For the results in radiographic measurements, grip strength and range of motion, means with 95% CIs were used for presentations in graphs and Student’s t-test was con-ducted to determine differences at the follow-ups. All these parameters were normally distributed, as seen on histograms and in the Shapiro-Wilk W test for normality (>0.95). The measurements of pain, DASH, Augment® leak-age and number of healed cortices were not normally distributed and there-fore compared using the Mann-Whitney U test and graphically presented with medians and 25th and 75th percentiles. Fisher’s exact test was used for comparison of proportions in baseline characteristics and complications. P-values ˂ 0.05 were considered to indicate a significant difference. The Bon-ferroni procedure was performed to correct for multiple comparisons.

Figure 25. Flow chart in the GEM trial.

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Table 4. Follow-up assessments in the GEM trial

Radio-

graphy

Fracture

healing

Densi-

tome-

try

Range

of

motion

Grip

strength

Pain

(VAS) DASH

Acute x

Postop x

1 week x xa x x

3 weeks x x xa x x

6 weeks x x x x x x

12 weeks x x x x x x

24 weeks x x x x x x

a Due to fixation in EF, only supination and pronation could be measured at 1 and 3 weeks.

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Results and discussion

Radiographic studies CT-based 3D measurement of DA (paper I) For XR, the intra-observer precision for the first assessor was 0.0 ± 4.4° (Figure 26 a) and the inter-observer precision on the first trial was -0.2 ± 4.6° (Figure 26 b). For the CT-based method, the corresponding intra- and inter-observer precision was 0.1 ± 2.0° (Figure 27 a) and 0.1 ± 1.8° (Figure 27 b), respectively, indicating that the CT-based method is more robust and repeatable than XR. Assessment of intra-observer precision for the second assessor and inter-observer agreement on the second trial revealed similar results (0.0 ± 4.0° and -0.1 ± 4.4° for XR and -0.1 ± 1.4° and -0.2 ± 2.5° for CT).

The intra-observer agreement between XR and CT for the first assessor on the first trial was -0.4 ± 7.1° (Figure 28 a); for the second assessor on the first trial the intra-observer agreement between XR and CT was -0.2 ± 6.7° (Figure 28 b). Thus, similar results were observed between the two asses-sors. Assessment of intra-observer agreement between XR and CT for both assessors on the second trial revealed approximately the same mean differ-ences and limits of agreement as for the first trial (-0.3 ± 6.8° for the first assessor and -0.3 ± 6.7° for the second assessor).

The purpose of this study was to determine whether a CT-based 3D method has the potential properties of serving as a reference standard for measuring change in DA over time in DRFs. The first requisite of the CT method is that it has the same validity as XR. The second requisite is that the reliability and agreement is higher for CT than for XR. Figures 28 a and b show that the mean difference between CT and XR is close to zero (-0.4o to -0.2 o). This minuscule difference entails that the validity for the CT method used in this study was approximately the same as for XR. However, it must be recalled that it is the change in DA, not the value of the absolute DA, that has the same validity for both methods. One limitation of the study is that the CT imaging technique does not use the same landmarks as XR on the joint surface. On the other hand, a strength of the CT method is that it uses land-marks in 3D, thereby increasing the precision and accuracy of the measure-ments. In CT three defined points in a triangle are used to define the joint surface, whereas in XR only two points are used. This means that the abso

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Figure 26. a) Intra-observer measurements for assessor 1 on XR, b) Inter-observer measurements between assessor 1 and 2 on XR. Mean difference and limits of agreement (± 2 SD) are marked.

Dif

fere

nc

e T

ria

l 1-2

(D

eg

ree

s)

Dif

fere

nce

As

se

sso

r 1

-2 (

De

gre

es)

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Figure 27. a) Intra-observer measurements for assessor 1 on CT, b) Inter-observer measurements between assessor 1 and 2 on CT. Mean difference and limits of agreement (± 2 SD) are marked.

-15 -10 -5 0 5 10 15-15

-10

-5

0

5

10

15

CT/CT Assessor 1

Average Trial 1-2 (Degrees)

Dif

fere

nc

e T

ria

l 1-2

(D

eg

ree

s)

0.1 (Mean)

-1.9 (-2SD)

2.1 (+2SD)

a)

-15 -10 -5 0 5 10 15-15

-10

-5

0

5

10

15

CT/CT Trial 1

Average Assessor 1-2 (Degrees)

0.1 (Mean)

-1.7 (-2SD)

1.9 (+2SD)

b)

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Figure 28. a) Intra-observer measurements between XR and CT for assessor 1, b) Intra-observer measurements between XR and CT for assessor 2. Mean difference and limits of agreement (± 2 SD) are marked.

-15 -10 -5 0 5 10 15-15

-10

-5

0

5

10

15

XR/CT Assessor 1 Trial 1

Average XR - CT (Degrees)

Dif

fere

nc

e X

R -

CT

(D

egre

es)

-0.4 (Mean)

6.7 (+2SD)

-7.5 (-2SD)

a)

-15 -10 -5 0 5 10 15-15

-10

-5

0

5

10

15

XR/CT Assessor 2 Trial 1

Average XR - CT (Degrees)

Dif

fere

nce

XR

- C

T (

De

gre

es)

-0.2 (Mean)

6.5 (+2SD)

-6.9 (-2SD)

b)

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lute value of the DA in a wrist will not be the same for the two methods, but the difference between two measurements for the two methods will be the same, at least if the validities are comparable, which seems to be the case for the two methods used in this study.

The limits of agreement for XR within and between the assessors are ± 4.4o-4.6 o (Figure 26 a-b) and for CT ± 1.8 o-2.0 o (Figure 27 a-b). According-ly, the precision of CT is considerably higher than the precision of XR. The margin of error of ± 4.4o-4.6 o in XR is unacceptably high in a scientific con-text, and probably also in a clinical context. In contrast, a margin of error of ± 1.8 o-2.0 o for the CT method is more acceptable, both clinically and scien-tifically. In this respect, the CT method is a better choice than XR for relia-bility and agreement when measuring change in DA over time in DRFs. It is also possible to use CT for precise absolute measurements of DA, but before meaningful measurements can be taken from CT, the reference values for the anatomic position of the distal radius and angular limits for choosing differ-ent treatments need to be adjusted from XR values to CT values. The primary reason for the new CT technique being more precise than XR is that it is semi-automatic and does not require the user to manually mark landmarks and reference lines on each image. Another advantage is that the CT images can be rotated to an optimal lateral projection for placing the landmarks. In contrast, XR is taken in a fixed position that cannot be changed, making it more difficult to find the same reproducible landmarks for radiographic measurements on consecutive images in the same patient.

The limits of agreement for XR compared with CT were ± 6.7° and ± 7.1° for the two assessors, respectively (Figure 28 a-b). These limits of agreement for XR against CT are somewhat larger than expected based on the reliabili-ties of XR and CT. This finding can be explained by an interaction effect between patient and method [168]. This interaction effect is a method error acting at the patient level. It is thus constant across all measurements on the same patient as opposed to the pure method error that varies over measure-ments. Therefore, the interaction effect does not influence differences be-tween two measurements of the same method, but it does affect differences between the methods. This source of error mainly applies to XR and is caused by XR being a 2D projection of a 3D structure. Despite the use of strictly standardised protocols, XR images are taken at slightly different angles at different time points. The value of change in DA will thus be af-fected not only by the true change in DA due to actual fracture movement but also by a false change in DA due to the different position of the wrist when the pictures are acquired. As CT images are 3D, no such confounding effect exists with the new CT-based method.

The change in DA, as measured on XR, when the inclination of the X-ray is changed is caused by the fact that the two reference points on the joint surface are located at different distances from the DRU joint. A change in

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radial direction of the X-ray when the image is taken will change the relation in height between the reference points and thereby also change the DA alt-hough no actual fracture movement has occurred. To minimise the method and interaction effect on XR, reference points on the joint surface at equal distances from the DRU joint need to be chosen.

The fractures in this study were fixed using EF and all XR and CT images were acquired postoperatively within the first 6 months. EF involves a semi-rigid device that deforms very little during treatment. The small changes in fracture position due to the stable EF during the time of fracture healing are a limitation of the study. Therefore, the values are gathered in the middle of the plots. If the Bland–Altman plots had been asymmetric, we might expect the limits of agreement to change when the change in DA increases or de-creases outside the actual plot. Because all the Bland-Altman plots in the study have a square or rectangular shape, it is more likely that the limits of agreement is the same for higher and lower values than those values assessed in the study. However, it is not possible to extrapolate our results and form assumptions about the limits of agreement for more extreme values.

A disadvantage of the new CT technique is that it exposes the patients to more radiation compared with XR. However, the distal location of the wrist from the torso significantly decreases the effective dose compared with, for example, a CT of the shoulder. Further, the total dose from a CT scan of the wrist is only one-hundredth of the total background radiation for 1 year. In the future, the radiation dose can be considerably reduced if cone beam CTs (i.e. CTs with divergent X-ray beams, forming a cone) are used instead of regular CTs. In addition, when taking a radiographic image of a wrist, it is often necessary to take more than one frontal and one lateral projection, which can be caused by a need for additional views or incorrectly taken im-ages.

The new CT-based method is not primarily intended for use in daily prac-tise in the care of DRFs. However, it can serve as a reliable reference stand-ard in future attempts to improve the precision of radiography. It can also be used for precise assessment of the radiographic outcome when comparing different treatment methods.

In conclusion, the semi-automatic CT-based 3D technique for the meas-urement of changes in DA in DRFs has the same validity as 2D radiography, but substantially higher reliability. Thus, it can be used as a reference stand-ard when more precise measurements are required.

An alternative reference point for DA measurements (paper II) DA values, measured by using Lister’s tubercle and the dorsal-ulnar corner in seven radial directions of the wrist from 0o to 20o in relation to a line per-pendicular to the long axis of the radius, have been presented in separate

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graphs for each patient (Figure 29). In all graphs there is a recurrent pattern showing a large increase in the measurements of DA based on Lister’s tu-bercle when the wrists are angulated from 0o to 20o, but a small decrease when the measurements are based on the dorsal-ulnar corner.

For the standard method of measuring DA using the most distal edge on the dorsal side of the joint, i.e. Lister’s tubercle, angulation increased on an aver-age of 9.3o (range 6-16 o) when the wrists were assessed in gradually increas-ing proximal directions in the six patients (Figure 30). When using the alterna-tive method, i.e. the dorsal-ulnar corner of the joint as the reference point, there was a corresponding average decrease of 1.4 o (range (-1) - 4 o).

In radiographs taken at approximately 15o of proximal radial direction of the wrists the two reference points on the dorsal side of the joint surface converged. Therefore, the measured DA when positioning the X-ray at 15o of radial direction had the same magnitude for both ways of measuring. This conformity is represented by the intersections of the lines in the graphs (Fig-ure 29). The graphs show that in radiographs taken in an angle between 0o

and 15o of radial direction to the joint surface, Lister’s tubercle protrudes more distally than the dorsal-ulnar corner, which gives a lower value for DA compared with when the dorsal-ulnar corner is used for measurements. If the radiographs were taken in an angle that exceeds 15o of radial direction, the reference points change places: Lister’s tubercle will be located more proxi-mally than the dorsal-ulnar corner, which gives a higher value of DA com-pared with when the dorsal-ulnar corner is used for measurements.

This study is consistent with previous work [21, 22] in showing that the precision of the standard method of measuring DA on radiographs in DRFs is low. This measuring problem is caused by the fact that different positions of the X-ray in relation to the wrist will result in different values of DA. Figure 30 shows that the values of DA increase approximately 9o if the posi-tion of the X-ray were changed from 0o to 20o of radial direction in relation to the wrist when Lister’s tubercle is used as the reference point on the dor-sal side of the joint. However, the real DAs in the wrists have not changed, only the appeared angles. Because malpositioning of the wrist is common during radiography (which is due to practical issues and unknown fracture dislocations), the reality in both a clinical and scientific context is that the precision of DA measurements on radiographs is low. A difference of ap-proximately 20o in the direction of the X-ray in consecutive images is con-sistent with how it is in reality. Thus, low precision would be expected [18, 164, 165]. The solution to this problem might be to develop a more rigorous protocol for taking radiographs of the distal radius. Such rigor would proba-bly increase the precision, at least temporarily, before tiredness to strict rou-tines would lead to decreased compliance among the staffs. It will also re-main impossible to foresee the actual fracture dislocation in the fracture of the X-ray in relation to the wrist would not lead to a correct image.

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Figure 29. Dorsal angulation on radiographs of the wrist at different radial directions of the X-ray in six patients.

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Figure 30. Dorsal angulation on radiographs at different radial directions of the X-ray. Mean values for the six patients in Figure 29.

Therefore, the only definite solution to this problem is to find landmarks on the radius not affected by a change in the position of the wrist while the image is being taken. The central issue is to find landmarks on the volar and dorsal side of the joint surface that are located opposite to each other, i.e. at the same distance from the DRU joint. In this way the relationship between the landmarks would not change between different radial directions of the X-ray when the pictures are taken.

The study demonstrates that the precision of DA on radiographs is low with Lister’s tubercle as the reference point. It also shows that the precision can be increased by changing the reference point on the dorsal side of the joint to the dorsal-ulnar corner. When looking at the distal joint surface of the radius, it becomes apparent that the dorsal-ulnar corner is not located exactly opposite to the volar teardrop, but slightly ulnar (Figure 31). This relation explains why the measured angle, when using the dorsal-ulnar cor-ner, slightly decreases with a concomitant increase in radial direction of the X-ray. Thus, the dorsal-ulnar corner is not a perfect choice. However, there are no well-defined structures on the volar and dorsal side of the distal radius joint surface that are located exactly opposite each other.

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Figure 31. The joint surface of the distal radius: Lister’s tubercle (L), the dorsal-ulnar corner (U) and the volar teardrop (V). The red lines represent the direction of the X-ray beam in a lateral view. The blue lines are placed perpendicular to the beam. Reference points along the same blue line are located opposite each other when viewing the wrist in a lateral projection. Reference points along the same blue line are the optimal location for the measurement points, which makes DA unaffect-ed by the amount of radial direction of the X-ray. However, exactly opposite to the volar teardrop there is no reproducible structure on the dorsal side. The dorsal-ulnar corner is a definable point that lies almost opposite to the volar teardrop, resulting in increased precision in DA measurement compared with Lister’s tubercle, which is located more radially.

A limitation of the study is that potential difficulties in recognising the dorsal-ulnar corner on a conventional radiograph in an accurate and precise manner were not examined. Because it is defined as the most distal edge on the dorsal side, Lister’s tubercle is easy to identify on the lateral projection. On the other hand, the dorsal-ulnar corner is defined as the sec-ond most distal edge on the dorsal side. There might be a risk for the dorsal-ulnar corner being mistaken for another nearby contour. Therefore, users of this alternative technique to measure DA need some practise to achieve high precision. In the present study the CT images could be rotated back and forth from the standardised positions, making it easy to locate the dorsal-ulnar corner on the dorsal side of the joint before the wrist was placed in the de-sired position. In a conventional radiograph this way of identifying the refer-

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ence points is not possible. Consequently, it is reasonable to believe that the precision of the method might decrease in measuring DA on conventional radiographs because of difficulties in locating the dorsal-ulnar corner. In addition, if the radiographs were taken in slight pronation or supination, Lister’s tubercle and the dorsal-ulnar corner are no longer located strictly above each other, but in front of each other. In these cases the distinction of the dorsal-ulnar corner might be even less obvious.

A further limitation of the study is that all the examined fractures had healed in a near-anatomic position. When studying the precision of DA measurements in different positions of the wrist with alternative reference points on the joint surface it is more adequate to assess fractures with diver-gent displacements. The superiority of the alternative method has only been shown in DRFs with slight displacement. The results cannot be unequivocal-ly extrapolated to more displaced fractures.

In conclusion, the precision in measuring DA in the distal radius using Lister’s tubercle as the dorsal reference point on the joint surface depends on the radial direction of the X-ray in relation to the wrist. In contrast, using the most dorsal-ulnar corner as the reference point, the DA, as it appears on radiographs, will be less dependent on the positioning of the X-ray in radial direction. However, it is more difficult to identify the proposed dorso-ulnar ridge. Therefore, the total effect on the precision of the described method when measuring DA in DRFs using conventional radiographs needs to be investigated in a separate study using radiographs of displaced fractures and several assessors.

Clinical studies The GitRa trial (paper III and IV) In the GitRa trial 109 patients were included (54 patients in the active group and 55 in the control group). Additionally, three patients fulfilled the inclu-sion and exclusion criteria at the 10-day follow-up but declined to participate and were therefore not randomised. According to the power analysis, 63 patients in each group were planned to be included. However, the inclusion period coincided with an increasing use of volar plates in displaced DRFs in 2002-2008. During this period, the indication for surgical treatment of dis-placed DRFs became increasingly liberal, resulting in a lower frequency of conservative treatment. The number of patients included per year was 14 in 2002, 33 in 2003, 18 in 2004, 14 in 2005, 10 in 2006, 9 in 2007 and 11 in 2008. When we noticed in 2008 that the standard deviation for the primary variable, i.e. change in DA from admission to 12 months, was smaller than anticipated and the power was high enough with the present number of pa-tients to show the intended difference between the groups, the inclusion was

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closed. The power calculations for the clinical variables were done post hoc to clarify whether the sample size was big enough for showing clinically relevant differences between the groups. Although both the clinical and radiographic results from the active and con-trol groups are needed to draw clinically applicable conclusions from the study, we have chosen to present the clinical and radiographic outcomes in two separate papers. There are two reasons for this decision. First, the ability of a plaster cast to prevent dislocation when stabilising a DRF needed to be elucidated. In the 1980s, considerable effort was undertaken to optimise the design of the plaster casts and plastic orthoses and find the most optimal position of the wrist joint for stabile fixation. The overall conclusion from these studies was that independently of how the fractures were fixed, or in what position of the wrist joints, the radiographic results were the same be-tween the methods studied. It gave the impression that a plaster cast had no impact on the radiographic end result of a DRF. That conclusion needed to be challenged. Why use a method that has no stabilising effect and only cre-ates negative secondary problems? To motivate attempts for further im-provement of conservative methods in the treatment of displaced DRFs a potential positive radiographic effect of a plaster cast compared with no fixa-tion needed to be clarified. The second reason for separating the radiographic and clinical results is that because the connection between the final deformity of the fracture and the clinical end result is weak, improved clinical end result after early mobilisa-tion can be justified, even though the radiographic result is inferior com-pared with conventional plaster cast fixation time.

The two groups (active and control) were comparable in age, injured side, fracture type and initial displacement (Table 5). Although not significant, there was a tendency for the fractures in the control group to be slightly more displaced at admission in DA, RA and AC than the fractures in the active group. A thorough assessment of the randomisation procedure was therefore performed without finding any reason to believe that there was a defect in the process. We suggest that the small difference observed between the treatment groups at admission was a random effect, as the randomisation process was carried out rigorously and systematically. It is important to note that it was the fractures in the control group that were initially somewhat more displaced. Because the aim of the study was to show whether early mobilisation results in an inferior radiographic result compared with conven-tional fixation time, it was still possible to draw meaningful conclusions from the results.

Three patients (3/54, 6%) in the active group were excluded from the study because of failed treatment; in contrast, there were no cases of failure leading to treatment changes in the control group. The radiographs at 1 month revealed that the fractures had severely displaced in two of the

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Table 5. Baseline characteristics of 109 patients in the GitRa trial.

patients in the active group after removal of the plaster cast at 10 days. In one of these patient the fracture had displaced in DA, and because of con-stant pain and low function of the wrist, the patient underwent osteotomy, reduction and volar plate fixation after the 1-month follow-up. In the other patient RA was the most pronounced displacement. The patient reported increasing pain and disability and therefore osteotomy, reduction and dorsal plate fixation were performed 10 months after the fracture. The third patient,

Characteristic 10-day

cast

1-month

cast

P-value

Number of patients (n)

Sex F/M (n)

54

47/7

55

51/4

0.53

Age in years, mean (range)

67.0

(52-90)

64.7

(50-92)

0.22

Dominant side/injured

side

Right/right (n) 25 17 0.07

Right/left (n) 28 32 0.32

Left/right (n) 0 2 0.25

Left/left (n) 1 4 0.19

Fracture classification

(AO)

23A3/ 23C2/ 23C3 (n) 29/21/4 31/20/4

Fracture dislocation at

admission, mean (SD)

Dorsal angulation,

degreesa 22.6 (8.2) 25.4 (8.0) 0.08

Radial angulation,

degreesb 15.4 (5.0) 13.7 (5.7) 0.10

Axial compression,

mmc -0.2 (1.6) 0.3 (1.7) 0.14

aThe angle between a line connecting the volar and dorsal edge of the distal joint line of radius and a

line perpendicular to the long axis of radius. bThe angle between a line connecting the top of the radial styloid and the most ulnar part of the distal

radius at the DRU joint and a line perpendicular to the long axis of the radius. cThe distance between the distal joint line of the radius at the DRU joint and the most distal surface of

the caput ulnae along the long axis of the radius. Negative values denote that the radius is longer

than the ulna.

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classified as a failure in the active group, felt instability in the fracture im-mediately after removal of the plaster cast at 10 days. The patient was treat-ed with a new plaster cast in-situ for another 3 weeks. This fracture was lo-cated slightly more proximal than the other fractures in the study, close to the transition between the metaphysis and the diaphysis. The anatomical location might have contributed to the feeling of instability. The fracture eventually healed in a good position. No other patients in the early mobilised group complained of instability after removal of the plaster cast. All radio-graphic and clinical parameters of the three failures were excluded from the results. The radiographic parameters of the exclusions are presented sepa-rately (Table 6).

Table 6. Radiographic results of the three excluded patients from the active group at the three follow-ups until exclusion compared with means for the active and control group. Exclusion no 1 and 2 underwent corrective osteotomies because of pain and severe displacement (shaded values). DA = dorsal angulation (degrees), RA = radial angulation (degrees), AC = axial compression (mm).

From 10 days to 1 month, i.e. the only period when the type of treatment

differed between the active and control group, the early mobilised group (i.e. the active group) redisplaced significantly more than the control group in DA, RA and AC. During this period, the early mobilised group redis- placed 4.5o (p<0.001) more in DA (Figure 32 a), 2.0o (p<0.001) more in RA (Figure 32 b) and 0.5 mm (p=0.01) more in AC (Figure 32 c) compared

Exclusion

no 1

Exclusion

no 2

Exclusion

no 3

Active

group

Control

group

DA Uninjured side -8.5 -6.8 - -7.0 -6.7

At admission 18.9 33.7 23.3 22.6 25.4

After reduction 5.2 16.0 5.2 4.1 7.7

1 week 1.9 17.1 0.8 9.0 14.0

1 month 14.5 42.7 - 15.0 15.5

12 months - - - 14.2 15.9

RA Uninjured side 17.3 19.1 - 21.7 21.0

At admission 4.3 10.6 12.0 15.4 13.7

After reduction 14.2 19.0 17.1 19.5 18.8

1 week 6.7 19.6 12 16.9 16.2

1 month -0.5 12.8 - 13.4 14.7

12 months - - - 13.4 14.9

AC Uninjured side -1.4 0.4 - -1.2 -1.3

At admission 1.8 3.6 1.9 -0.2 0.3

After reduction -3.1 1.7 -1.4 -1.4 -1.1

1 week -0.2 3 0.2 -0.6 -0.3

1 month 3.0 5.5 - 0.8 0.5

12 months - - - 1.3 1.1

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with the control group. Seen over the entire study, i.e. from admission to 12 months, the early mobilised group in total redisplaced 1.1o (p=0.48) more in DA, 3.2o (p=0.002) more in RA and 0.7 mm (p=0.02) more in AC than the control group.

There were no significant differences in grip or pinch strength at any of the follow-ups (Figure 33). At the final follow-up (12 months), both the active and control group had recovered in strength to a level that was ap-proximately 4 kg below the grip strength of the uninjured side and approx-imately 0.2 kg below the pincer strength of the uninjured hand after com-pensation for the dominant/non-dominant hand. The figures for grip and pinch strength were also compared without compensation for the domi-nant/non-dominant hand, which gave the same results as when the 10% rule was applied.

At 1 month, the range of motion in dorsal extension, pronation and supi-nation, but not in volar flexion, was significantly better in the active group:

Figure 32. a) Dorsal angulation from admission to 12 months, b) Radial angula-tion from admission to 12 months, c) Axial compression from admission to 12 months (mean with 95% confidence interval). Three failures in the 10-day cast group have been excluded from the analysis.

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dorsal extension was 14o (p<0.001), pronation 12o (p=0.002) and supination

Figure 33. Grip strength (Jamar dynamometer) and Pincer strength (pinch meter) compared with the uninjured side (mean with 95% confidence interval). The results are presented with a compensation for the dominant/non-dominant hand (the right hand was considered 10% stronger than the left hand in right-handed patients and the left hand as strong as the right hand in left-handed patients). Three treatment failures in the 10-day cast group have been excluded from the analysis.

8o (p=0.03) (Figure 34). With an adjustment for multiple significance test, the difference in supination was no longer significant. The significant dif-ferences found at 1 month between the groups were no longer present at subsequent data collection points (i.e. at 4 and 12 months).

The active group reported more pain than the control group at 1-month though the difference did not reach statistical significance (p=0.06) (Figure 35). Further, if the small difference in pain reported by the patients at 10 days were also taken into account as an expression of different baseline pain in the two groups, the difference in pain between the groups at 1 month was negligible. At 4 and 12 months, no differences in pain were observed between the two groups.

At the final 12-month follow-up, the de Bruijn scoring system (modified by Christersson & Sanden) (Figure 22), the Mayo wrist scoring chart (mod-ified by Smith and Cooney) (Figure 23) and the Gartland and Werley De-merit wrist point system (modified by Sarmiento and by Christersson &

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Figure 34. Range of motion in dorsal extension, volar flexion, pronation and supi-nation compared with the uninjured side (mean ± 95% confidence interval). Three treatment failures in the 10-day cast group have been excluded from the analysis.

Sandén) (Figure 24) showed no differences between the active and control group (Table 7).

Three patients in the active group, but no patients in the control group, were excluded from the study. The radiographic and clinical parameters of

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Table 7. Final evaluation at 12 months with three functional scoring systems (mean (SD)).

Scoring system 10-day

cast

1-month

cast P-value

De Bruijn – modified

(0-154; 0-15=excellent) 22.7 (14.3)

22.9

(14.9) 0.96

Mayo – modified

(0-100; 90-100=excellent) 74.4 (11.3)

73.6

(12.8) 0.73

Gartland Werley Demerit – modified

(0-35; 0-2=excellent) 4.8 (3.4) 4.3 (3.0) 0.38

these three patients in the active group were removed from the study, ex-cept for the data concerning baseline characteristics. Because all three ex-clusions came from the active group, an inclusion of their results until they were excluded might have induced inflation and false improvement in the clinical results at 12 months in the active group. Therefore, we decided to exclude these patients from all follow-ups. Instead, the radiographic meas-urements of the three excluded fractures have been presented separately (Table 6).

Figure 35 Pain (visual analogue scale) (medians with 25th and 75th percentiles). Three treatment failures in the 10-day cast group have been excluded.

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Exclusion no 1 was severely displaced in RA at admission. After reduc-tion, the displacement partially recurred until the 10-day follow-up. After the early plaster cast removal, the deformity continued to increase in RA until the follow-up at 1 month to a position even worse than at admission. The displacement in RA in this fracture at 1 month was larger than in any other fracture in the study. That the amount of RA was not included in the inclusion criteria from the beginning is a limitation of the study. In that case this fracture had perhaps not been included in the study because se-vere RA can be considered a contraindication to conservative treatment. However, the degree of RA has been randomly distributed between the active and control group: the more displaced fractures included in the study, the more conclusions can be drawn about the stabilising effect of a plaster cast.

Exclusion no 2 had a large displacement in DA at admission. This de-formity was only partially reduced. After plaster cast removal at 10 days, the fracture continued to displace in DA until the 1-month follow-up. The displacement in DA in this fracture at 1 month was bigger than in any other fracture in the study. A limitation of the study was that there were no crite-ria for fracture position after reduction. It is well-known that a DRF has a higher tendency to return to its previous position after reduction if the re-duction were suboptimal. According to the instructions in the GitRa trial, it was sufficient that the doctor who performed the reduction made the judgement that the post-reduction position was appropriate to continue the conservative treatment. A criterion for inclusion was also that DA at 10 days did not exceed 25o. In this way the inclusion criteria correspond more to the clinical reality in the management of DRFs and increases the possi-bility to generalise the results to other populations.

Exclusion no 3 was excluded because of a feeling of instability in the fracture. The patient felt movements in the fracture immediately after plas-ter cast removal at 10 days and insisted on being fitted with a new plaster cast. The fracture was only averagely displaced at admission, but was lo-cated a bit more proximal than most of the other fractures in the study, which could have contributed to the patient experiencing fracture move-ment. However, no other patients in the active or control group complained about movement between the fracture fragments.

Each of the three excluded patients had their own history preceding the exclusion event, but taken together, they suggest that removing the plaster cast before fracture healing in reduced DRFs can be adventurous, leading to an unsatisfactory outcome.

An important prerequisite for allowing early mobilisation of a reduced DRF is that the fracture position is not substantially deteriorated compared with conventional fixation time. Even though a small amount of malunion in a DRF is known to be acceptable without affecting the functional result,

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there is increasing scientific support that persistent deformity can affect the clinical result, at least in young adults [48, 49, 53, 54, 169]. Therefore, an important aim in the GitRa trial was to study what happens radiographical-ly once the plaster cast is removed 10 days after reduction in moderately displaced DRFs. It has been shown only sparingly that a conventional plas-ter cast fixation time of 1 month serves any useful purpose in preventing dislocation in reduced DRFs compared with shorter plaster cast fixation time [80] or semi-rigid fixation in orthosis [83]. In both these studies the active groups displaced significantly more in RA. Many studies on undis-placed or slightly displaced fractures have shown equal radiographic re-sults between early and late plaster cast removal [75-78, 170]. It has often been stated that both reduced and not reduced DRFs can be treated with a semi-stable orthosis, allowing the wrist joint to move in some amount in-side the orthosis without endangering the radiographic position [81, 82, 84, 171]. Based on these studies, our hypothesis was that a plaster cast does not contribute beyond 10 days to the preservation of a fracture position that has been achieved during reduction in a DRF. However, this hypothesis was rejected because there was a significant increase in all three directions of displacement from 10 days to 1 month, i.e. the only period when the treatment differed between the groups: DA (4.5o), RA (2.0o) and AC (0.5 mm) (Figure 32 a-c). This means that a plaster cast has a stabilising effect on a reduced DRF and prevents fracture dislocations before the fracture has healed. Whether this protective effect depends on direct support to the frac-ture fragments or an indirect effect by preventing joint movements cannot be established. When looking at the disparity in fracture movements be-tween the two groups from admission to 12 months, the difference in RA (3.2o) and AC (0.7 mm) from 10 days to 1 month continued to increase until 12 months, but the difference in DA (1.1o) from 10 days to 1 month decreased to a non-significant difference until 12 months. Although statis-tically significant, the differences in RA and AC between the fractures in the active and control groups are relatively small. The treatment should aim to reduce the residual deformity as much as possible, but the clinical signif-icance of such small differences in redisplacements during treatment as shown in the GitRa-trial is controversial. Because conservative treatment with closed reduction and plaster cast fixa-tion in DRFs is known to result in some improvement in DA (but not in RA and AC) compared with the displacement at admission [30, 34, 36, 172], these results are surprising. A possible reason for the absence of a positive effect on DA of plaster cast for 1 month versus 10 days from ad-mission to 12 months in the GitRa trial is that the fractures in the control group were slightly more displaced than those in the active group at admis-sion, especially in DA. A more dorsally angulated DRF exhibits greater instability and is more likely to redisplace after reduction. Another reason

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could have been that the control group continued to displace after plaster cast removal at 1 month and therefore caught up with the DA in the active group, indicating that a fixation time of 1 month is too short. However, that was not the case.

The fractures in both treatment groups continued to displace in AC after 1 month. Although it is not certain that the final fracture position would benefit from a longer fixation time, a fixation time beyond 1 month could possibly result in an improved fracture position in AC.

In accordance with previous studies, the GitRa trial has shown that closed reduction and plaster cast fixation of DRFs in patients ˃ 50 years lead to a partial recurrence of the initial acute displacement. The fractures in both groups healed in a position that was slightly better in DA, approxi-mately the same in RA and slightly worse in AC compared with the dis-placement at admission. The radiographic study result, i.e. decreased frac-ture displacement in the control group compared with the active group, does not mean that plaster cast fixation of reduced DRFs is a good treat-ment method. Plaster cast fixation of reduced DRFs is still a poor treatment method for preservation of the fracture position. However, because 1 month of plaster cast fixation results in better radiographic outcome com-pared with 10 days of fixation, it could be worthwhile to improve the tech-nique of plaster cast fixation to achieve better fracture stability. It may also be worthy to examine whether a longer fixation time results in less fracture redisplacement without deterioration of the functional outcome.

In patients under the age of 50 bone quality is often higher than in older patients, which leads to higher fracture stability and less fracture move-ments during conservative treatment [29, 36-39, 169]. Young patients also benefit most from rapid mobilisation in that such mobilisation can afford shorter periods of sick leave [98]. On the other hand, young adults suffer more from increased displacement compared with old people. It is im-portant to bear in mind that the results from the GitRa trial cannot be ex-trapolated to patients aged ˂ 50. Therefore, the benefits and risks of early mobilisation after reduced DRFs in young adults need to be investigated in a separate study.

In conclusion, early mobilisation at 10 days of reduced DRFs in patients ˃50 years led to a few more treatment failures and to slightly increased radiographic displacements in RA and AC compared with 1 month of cast fixation.

Several animal and human studies on joint immobilisation with or with-out concurrent injury have shown a gradual decrease in range of motion and muscle strength during the fixation period [173-177]. Ever since Sar-miento’s studies on functional bracing as a therapeutic modality in the 1970s, early mobilisation of DRFs has been regarded as preferable over immobilisation in a plaster cast until healing [81, 82]. However, scientific

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support for this standpoint has been slow in evolving, both with respect to benefits in strength and range of motion. Several studies on reduced DRFs have reported early improved grip strength after early mobilisation versus conventional plaster cast fixation time but no long-term improvement [85, 87, 88, 171]. Only one study has shown persistent increased grip strength after 1 year [170]. This study, conducted on reduced DRFs in women aged ˃ 60 years, compared immobilisation in a plaster cast for 3 weeks versus 5 weeks. In addition, concerning the range of wrist motion, several studies have shown that early mobilisation or functional bracing leads to a transi-ent increased range compared with conventional plaster cast fixation time but no advantages in the long run [80, 86, 171, 178].

In the GitRa trial some evidence for early benefits in clinical parameters was seen. Particularly the range of motion in dorsal extension and prona-tion at 1 month was significantly better in the early mobilised group. Alt-hough not significant, there was a difference in grip strength (1.9 kg) and pinch strength (0.4 kg) at 1 month in favour of the active group (Figure 32). Because the difference (although not statically significant) between the two groups was consistent for both grip and pinch strength at 1 month, it may reflect a small difference between the groups. On the other hand, if the difference found in this study in grip and pinch strengths between the ac-tive and control group reflects a true difference, there is most likely no clinical relevance of such a small difference. In general, from a clinical perspective, it seems to be beneficial to remove the plaster cast at 10 days instead of 1 month. However, the difference between the two groups was small and transient. At 4 months, there were no longer any differences. The study is limited by failing to include follow-ups between 1 and 4 months. Therefore, it is not possible to state how long time after the 1-month fol-low-up the active group had better clinical parameters than the control group. After the 1-month follow-up, no differences between the groups in strength or range of motion were detected. A temporary gain in range of motion at 1 month can be useful for active patients, but without a relevant enhancement in grip or pinch strength we cannot be certain that it results in an improved functional capacity compared with immobilisation for 1 month.

At the 12-month follow-up (i.e. the last follow-up) the functional out-come of the two groups was evaluated using three functional assessment scores. A limitation of the study was that PROMs were not used. When the study was planned and initiated, PROMs were not available. However, objective measurements, especially grip strength, correlate with PROMs [53, 179], and all three functional assessment scores used in the GitRa trial also include questions about the patient’s subjective experience of disabili-ties and discomfort. Questions about the subjective result represents 88/162 points in the modified de Bruijn wrist score, 50/100 points in the modified

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Mayo wrist scoring chart and 6/35 points in the modified Gartland and Werley Demerit wrist point system. We therefore believe that if there had been a difference in the subjective result between the groups, it would have been discovered.

For evaluation of pain, the patient was told to report the average pain during the past 24 hours. The prescription or actual usage of pain-relieving drugs was not recorded. We anticipated difficulties in interpreting point measurements of pain in relation to consumption of analgesics. Instead, we assessed the pain during a certain period (past 24 hours) with the assump-tion that the value of such a parameter is less affected by the usage of pain-relieving drugs. At the 1-month follow-up, the active group reported slight-ly (but not significantly) more pain than the control group (p = 0.06). This difference is noteworthy in the sense that some studies have shown the opposite, i.e. early mobilisation leads to less pain compared with conven-tional plaster cast fixation time in undisplaced [75] and displaced [85, 170] DRFs. However, the difference in pain between the two groups at 1 month in the GitRa trial can be explained to some extent by a corresponding dif-ference in pain at admission. Although the difference in pain at admission can hardly be regarded as a true baseline difference between the groups (pain is a parameter that changes rapidly in an unpredictable manner), the difference in pain at baseline cannot be ignored. Therefore, the interpreta-tion of the pain assessment in the GitRa trial is that both treatments lead to the same amount of pain, or at least not to lesser pain in the active group.

In conclusion, early mobilisation of reduced DRFs led to a few treat-ment failures, to slightly increased radiographic displacement and had no long-standing positive clinical advantages compared with conventional immobilisation time. Early mobilisation of these fractures cannot be rec-ommended.

The GEM trial (paper V) There were no significant differences at enrollment between the active and control groups in age, sex, weight, length, smoking habits, working status, fractured side, hand dominance or BMD. Nor were there any differences between the active and control groups regarding the proportion of different fracture types (Table 8). The pre- and postoperative radiographs revealed no significant differences in fracture position between the two groups (Fig-ure 37). All 40 patients completed the follow-up according to the protocol. No seri-ous adverse events occurred during the study period. There were three complex regional pain syndromes in the Augment® group versus one in the control group. All patients recovered after physiotherapy. No infections or signs of inflammation were observed at the fracture site in any of the

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Augment® patients. There were two pin infections in one patient in the Augment® group; in the control group pin infections occurred in about 18/80 (22.5%) pins in 10 patients (p=0.02 for number of infected patients and p=0.0006 for number of infected pins). No fixation pin had to be prematurely removed and all pin-related infections healed uneventfully after oral antibiotics or planned pin removal at 6 weeks (Table 9).

Table 8. Baseline characteristics of 40 patients with DRF randomised to treatment with closed reduction and external fixation alone or with the addition of rhPDGF Augment®) locally applied at the fracture site (mean and standard deviation)

Augment®

(n=20)

Controls

(n=20)

P-

value

Sex (M/F) 1/19 1/19 -

Age (years) 65 ± 9.3 65 ± 8.2 0.97

Length (cm) 166 ± 5.1 166 ± 7.4 0.90

Weight (kg) 65 ± 10.2 71 ± 13.6 0.13

Injured side (dx/sin) 8/12 6/14 0.59

Injured side (dominant/non-dominant) 8/12 6/14 0.59

BMD (T-score intact wrist) -1.66 ± 1.11 -1.14 ± 1.18 0.17

Smoking (yes/no) 2/18 2/18 -

Fracture classification (AO):

23A3.2 3 3 -

23A3.3 0 2 -

23C2.1 7 5 -

23C2.2 8 5 -

23C3.2 2 5 -

Time in external fixator, days (range) 42 (38-45) 42 (37-44) 0.89

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In almost all patients in the Augment® group the postoperative radio-graphs revealed small amounts of β-TCP particles in the soft tissue on the dorsal side. In patients treated with Augment® Injectable, but not in pa-tients treated with Augment® Bone Graft, there was also leakage of mate-rial into the volar soft tissue as interpreted on the postoperative radiographs (Table 10). Almost all Augment®, whether contained in the fracture void or in the surrounding soft tissues, was resorbed at 24 weeks (Figure 36).

Table 9. Complications in the Augment® and control patients

Augment® Control P-valuea

Pin infection

Number of patients 1 10 0.02

Number of pins 2 18 0.0006

CRPSb 3 1 0.30 aFischer’s exact p-value bComplex Regional Pain Syndrome (sympathetic reflex dystrophy) cat Augment® insertion site

Figure 36. Postoperative radiograph after external fixation and dorsal injection of Augment® into the fracture gap. At 6 months, all Augment® had resolved.

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Table 10. Quantity of Augment Bone Graft® (n=10) and Augment Injectable® (n=10) leakage into the surrounding soft tissue and joint cavities (arbitrary unitsa 1-4, medians with 25th and 75th percentiles.)

Augment Bone

Graft®

Augment Inject-

able®

P-value

Soft tissue

Dorsal postop 3 (2,3) 3 (1,4) 0.79

6 weeks 2 (1,2) 3 (1,3) 0.22

24 weeks 0 (0,0) 1 (0,2) 0.05

Volar postop 0 (0,1) 3 (1,4) 0.02

6 weeks 1.5 (0,2) 2.5 (1,3) 0.16

24 weeks 0 (0,0) 1 (0,1) 0.02

RC jointb postop 0 (0,0) 0 (0,0) -

6 weeks 0 (0,0) 0 (0,0) -

24 weeks 0 (0,0) 0 (0,0) -

DRU jointc postop 0 (0,0) 0 (0,0) -

6 weeks 0 (0,0) 0 (0,0) -

24 weeks 0 (0,0) 0 (0,0) -

aarbitrary units for the amount of Augment® leakage outside the fracture: 1= small ray, 2= large ray, 3=

small lump, 4= large lump. bradio-carpal joint, cdistal radio-ulnar joint

All fractures healed during the follow-up period. At 6 weeks, no fracture

was radiologically healed in either group according to the criteria used in the study, i.e. three cortices with bridging bone. At 12 weeks, 9 fractures in the Augment® group and 13 fractures in the control group were radiologi-cally healed; all fractures were radiologically healed at the final 24-week follow-up (Table 11).

In DA and RA both groups had very similar fracture positions through-out the study. In AC the initial acute displacement was larger in the control group (2.9 mm) than in the Augment® group (1.6 mm), but the difference was not significant (p=0.11). There were no significant differences between the two groups with respect to fracture position at any follow-up visit or at the final (24-week) follow-up (Figure 37).

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Table 11. Number of healed cortices and fractures at the four follow-ups (medians with 25th and 75th percentiles.)

Augment® Control P-value

3 weeks Cortices 0 0 Fractures 0 0

6 weeks Cortices 0 0 Fractures 0 0

12 weeks Cortices 2 (1,3) 2 (1,2) 0.54 Fractures 9 13 0.34a

24 weeks Cortices 4 (4,4) 4 (4,4) Fractures 20 20

aFischer’s exact p-value Clinical assessment revealed that there was no significant difference in grip strength between the groups at any time point. At 24 weeks, grip strength of the injured wrist was still reduced on an average of 41% for Augment® patients and 39% for controls (about 10 kg in absolute values) when com-pared with the uninjured side (Figure 38).

The patients treated with Augment® had significantly less wrist flexion at 6 weeks (9.7o, p=0.006), 12 weeks (11.4o, p=0.007) and 24 weeks (7.9o, p=0.03) compared with the control group. With an adjustment for multiple significance tests, the difference at 24 weeks was no longer significant. There were no differences between the two groups for any of the other wrist movements (Figure 39).

No statistically significant differences in DASH scores or pain (VAS) were found between the Augment® and control groups at any time point. DASH scores decreased in both groups over time, and at 6 months, the median DASH score was 6.8 in the Augment® group and 6.6 in the control group (Figure 40).

Operating time was longer in the Augment® group (42 minutes versus 29 minutes) (p<0.001), i.e. application of Augment® added an average of 13 minutes to the procedure, with no significant difference between Aug-ment® Bone Graft or Augment® Injectable.

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Figure 37 Dorsal angulation, radial angulation and axial compression on radio-graphs (means with 95% confidence interval). (For DA, the postop value of the Augment® group differs from the published version, see errata paper V)

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Figure 38. Grip strength compared with uninjured side. The values have been adjusted according to the 10%-rule, i.e. the right hand is considered 10% stronger than the left hand in right-handed persons, but as strong as the left hand in left-handed persons.

Figure 39. Range of motion compared with the uninjured side. Extension, flexion, radial and ulnar deviations were measured at 6, 12 and 24 weeks. Supination and pronation were measured at 1, 3, 6, 12 and 24 weeks (mean with 95% confidence interval).

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Figure 40. Minimum and maximum pain, and DASH scores (medians with 25th and 75th percentile).

The main findings of the GEM trial were that Augment® (rhPDGF-BB/β-TCP) could be readily applied locally at the fracture site as intended. There were no serious adverse events in any of the patients during the observation time (24 weeks) and all fractures healed without radiographic or clinical differences between the Augment® and control groups.

Augment® has previously been tested on fractures in rats and rabbits. The safety and utility of Augment® have also been studied in periodontal osse-ous defects and foot fusions in humans. However, no publication has de-scribed the use of a rhPDGF-BB-containing matrix in human fractures. In this regard, the GEM trial served as a phase 1 clinical trial to evaluate the safety and feasibility of Augment® in a human fracture. We chose the DRF as a fracture template for the trial. Augment® was injected into the fracture gap of 20 DRFs. In the first 10 patients Augment® Bone Graft was used. This product, containing rhPDGF-BB and β-tricalcium phosphate, proved to be somewhat difficult to introduce percutaneously into the fracture gap. It was not possible to inject it through a cannula. Instead, we pushed the mix-ture through a small funnel. Even with the funnel, it was still difficult to get an even distribution of Augment® Bone Graft throughout the fracture void.. Therefore, the formulation of Augment® was changed by the manufacturer. In the subsequent 10 patients Augment® Bone Graft was replaced by Aug-ment® Injectable, which additionally contained soluble type I collagen. This additive made the drug possible to inject through a thick cannula (2.1 mm), which made it easier to distribute throughout the fracture void (Figure 41). However, the injectable properties of Augment® Injectable also increased

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the amount of leakage of the substance into the surrounding soft tissues, particularly on the volar side of the fracture, where very little of Augment® Bone Graft leaked out (Table 10). At the final follow-up (i.e. 24 weeks post-application), almost all Augment® Bone Graft and Augment® Injectable had resolved.

In addition to being a phase 1 clinical trial for Augment® in human frac-tures, the GEM trial had a modest intention to assess the potential use of Augment® in fracture healing. Therefore, a control group of 20 DRFs were added: all patients in the study (n=40) were randomly allocated to one of the two treatment groups (Augment® or control). No formal power analysis was conducted to determine an adequate sample size for this type of study. The DRF as a fracture template for studying local application of a growth factor has advantages and disadvantages. One obvious advantage is that the DRF is a common fracture, so the desired number of patients could be reached within a reasonable period. Another advantage is that DRFs in the mid-2000s were often treated with EF. This advantage made it easier to as-sess the amount of bone healing because of the absence of internal fixation in the fracture area. Further, removal of the frame after 6 weeks made late fracture movements possible, which could serve as an indirect sign of in-complete fracture healing.

Figure 41. Augment® Bone Graft (top picture) was introduced into the fracture void through a funnel. Augment® Injectable (bottom picture) could be injected through a thick cannula.

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A disadvantage of using the DRF as a fracture template when assessing the effects of a growth factor is that a DRF already has well-documented good healing properties and delayed union is rare. Therefore, it could be plausibly argued that the healing time in a DRF is already the shortest possi-ble and hence the process cannot be further accelerated. It also proved to be a miscalculation to stabilise the fractures in EFs for 6 weeks. There was an expectation of some late fracture movements after frame removal. However, even in the control group almost no late fracture movements occurred. Con-sequently, this parameter was not useful to evaluate an eventful shorter heal-ing time in the Augment® group. A post-hoc power analysis was done on changes in DA from postop to 24 weeks. With a significance level of 0.05 and a power of 80%, a difference between the groups of 4o in displacement from postop to 24 weeks could have been shown. Thus, there seems to be sufficient power to demonstrate a clinically relevant difference between the groups. However, there is a problem with this argument. The EFs were not removed until 6 weeks. Based on previous studies, we anticipated some late fracture movements [32, 69-72]. However, there were almost no fracture movements at all in DA from postop to 24 weeks in the control group. Natu-rally, this lack of displacement could not be enhanced by 4o in the active group. Retrospectively, it is obvious that a shorter fixation time (i.e. removal of the EFs after 4 or 5 weeks) in both groups would have been preferable. Thus, the control group might have displaced in some degree from postop to 24 weeks, a deterioration that could have been outperformed by the active group. However, we found it unethical to expose the patients to a shorter stabilisation time than usual in order to provoke a difference in displacement between the groups. Furthermore, it is more difficult to assess the amount of fracture healing in metaphyseal bone than in diaphyseal bone. Periosteal and endosteal callus formation in cortical bone is well described but the assessment of bone heal-ing in spongious bone is not well documented. In addition, the presence of calcium phosphate particles in the product implanted at the fracture site might be difficult to distinguish from bone. Because only a limited number of radiographic examinations are allowed within a clinical study, a subtle change in bone formation over time can also be difficult to observe. There-fore, it is not possible to detect a small difference in bone formation between the two groups.

Before injecting Augment® into the fracture gap, a small void was creat-ed at the fracture site by impacting the spongious bone inside the fracture with an elevator. This impaction created less bone volume inside the cavity and more dense bone in the margins of the void, which, together with calci-um phosphate particles, made it more difficult to assess the healing of the fractures in the Augment® group. The impaction of bone could also have decreased the stability of the fractures and delayed the bone healing process

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in the Augment® group. Furthermore, Augment® does not harden. There-fore, it contributes very little to fracture stability.

BMP, previously available as Osigraft® (rhBMP-7) and InductOs® (rhBMP-2), is known to induce local signs of inflammation (swelling, effu-sion and redness) after application into a fracture [180]. We therefore ex-pected similar effects of Augment®. However, no signs of inflammation around the application site were found. Accordingly, we find it unlikely that the decrease in wrist flexion detected at 6 and 12 weeks in the active group is explained by a local effect of Augment®. A more likely explanation to the decrease in wrist flexion in the active group was the pain and adhesion creat-ed by the incision and introduction of Augment® on the dorsal side of the fracture.

The finding of significantly fewer pin site infections in the Augment®

group (2/80) versus the control group (18/80) was surprising and no reason-able explanation has as yet been identified. All factors known to reduce the risk for pin site infections were kept constant in all patients, making it un-likely that this finding was due to systematic error in the care or evaluation of the pin sites. In previous studies local application of a PDGF-BB-containing dressing to diabetic ulcers in the lower extremity has been shown to significantly increase the incidence of complete wound closure and short-en healing time [181], which is an expected outcome based on the biologic mode of rhPDGF-BB action. It has also been shown that hydroxyapatite, which is closely related to β-TCP, decreases the rate of pin infection when it coats the threads of the half pins [182]. Because in the present study Aug-ment® was administered at the fracture site and not at the pin sites, there is no obvious explanation to suggest a local soft tissue effect by Augment®. The distance between the fracture site in which Augment® was introduced and where the half pins were placed, both proximally in the radius and dis-tally in the metacarpal bone II, was approximately 5-7 cm. Although some Augment® leaked out in the dorsal soft tissue during application, this dis-tance is probably too large for a local preventive effect against pin infection.

Rather, the decrease in pin site infections might be due to a factor not di-rectly related to the effect of PDGF-BB. For instance, a reduction in finger and movement and wrist flexion caused by pain and adhesions from the dor-sal incision at the administration site in the Augment® group could have had a protective effect against pin infection. This argument is based on the notion that less soft tissue motion around the pins reduces irritation in the surround-ing soft tissue. In general, the mechanism of a potential protective action against pin infection by Augment® is unclear, although not inconsistent with the established wound-healing capacity of rhPDGF-BB.

In conclusion, rhPDGF-BB/β-TCP (Augment®) is convenient to apply locally into DRFs. Within the study observation time, i.e. 24 weeks, the number of complications was not increased. No differences in clinical or

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radiographic outcomes between the groups were seen, except for a small, temporary decrease in volar flexion in the active group, most likely because of the dorsal skin incision. The number of pin infections was significantly decreased in the active group, a finding that we have difficulty explaining. In this study the healing time was not reduced in the Augment® group. How-ever, the study was neither designed nor powered to show efficacy.

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Conclusions

A semi-automatic CT-based 3D method to measure changes in DA in DRFs has the same validity as 2D radiography, but substantially higher reliability. It can therefore be used as a reference standard in cases in which precise measurements are requested. The agreement between 2D radiography and the CT-based 3D method is lower than expected based on the reliabilities of XR and CT. This lower agreement is most likely caused by the patient and method interaction effect, suggesting that the precision for DA on XR between repeated im-ages is low.

The precision and accuracy for measuring DA in DRFs increases when

using the dorsal-ulnar corner as a reference point instead of Lister’s tu-bercle on the dorsal side of the joint surface.

Mobilisation 10 days versus 1 month after reduction of moderately dis-

placed DRFs resulted in treatment failure in 3/54 of the fractures in the active group versus no failures in the control group. Compared with the control group, fractures in the active group displaced significantly more from admission to 12 months in RA and AC, but not in DA. The clinical benefit from mobilisation 10 days after reduction, in comparison with 1 month, was a small and temporary increase in wrist motion at 1 month. Therefore, we cannot argue in favour of early mobilisation 10 days after reduction in displaced DRFs.

rhPDGF-BB/β-TCP (Augment®) is safe and convenient for local admin-

istration into wrist fractures. In this pilot study we could not detect any reduced bone healing time in the Augment® group. However, because of the study design, efficacy could not be properly evaluated. Local ad-ministration of rhPDGF-BB/β-TCP into wrist fractures significantly de-creased the number of pin infections. The mechanism of a potential pro-tective action against pin infection by Augment® is unclear and needs to be addressed in a study with pin site infection being the primary out-come.

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Sammanfattning på svenska

Den distala radiusfrakturen (DRF) är belägen längst ner på strålbenet, och är en mycket vanlig fraktur. Förekomsten ökar vid osteoporos, varför frakturen vanligen drabbar kvinnor över 50 år. Frakturens svårighetsgrad avgörs bl.a. av dess felställning på röntgenbilden. Den vanligaste behandlingen är s.k. konservativ behandling, vilket oftast innebär att frakturen stabiliseras med gips i 4-6 veckor, eventuellt föregånget av att frakturläget förbättrats genom reposition. Frakturer med uttalad felställning behandlas däremot med operat-ion. Platta och skruvar är den vanligaste fixationsmetoden. På senare tid har andelen patienter som opereras ökat, vilket har gjort behandlingen av DFR mer resurskrävande. Det saknas övertygande bevis för att en operation med platta och skruvar leder till ett bättre resultat för patienten jämfört med mindre omfattande operationsmetoder eller gipsbehandling. Intresset för konservativ behandling av DRF har därför ökat under senare år. En av svå-righeterna med att jämföra resultaten efter olika typer av behandlingar är att precisionen av mätningarna på röntgenbilderna är låg.

Denna avhandling baseras på två radiologiska och två kliniska studier. I en radiologisk studie visades att datortomografi kan användas, istället för vanlig röntgenundersökning, för att öka precisionen av en av de vinkelfel-ställningar som mäts vid DRF (den s.k. dorsalbockningen). I en annan radio-logisk studie visades att precisionen av mätningen av samma vinkelfelställ-ning på vanliga röntgenbilder ökar om en alternativ referenspunkt på strål-benets ledyta används, istället för den referenspunkt som vanligen ingår i mätningen.

I en klinisk studie på 109 DRF som initialt behandlats med reposition och gips, jämfördes gipstid 10 dagar mot 1 månad. I studien fick tre patienter i 10-dagarsgruppen exkluderas p.g.a. försämrat frakturläge (två patienter) eller instabilitetskänsla (en patient). För de resterande patienterna i den aktiva gruppen skedde en större försämring av det radiologiska läget jämfört med kontrollgruppen. Den kliniska vinsten av tidig avgipsning var endast en liten och övergående förbättrad handledsrörlighet jämfört med kontrollgruppen. Tidig avgipsning av reponerade DRF kan därför inte rekommenderas.

I en annan klinisk studie på 40 DRF, som behandlades operativt med ex-tern fixation, studerades användbarheten och säkerheten av lokal applikation i frakturspalten av Augment®, som innehåller tillväxtfaktorn rhPDGF-BB. Preparatet visade sig vara användarvänligt och säkert (under observationsti-

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den 24 veckor), men p.g.a. studiedesignen var det inte möjligt att utvärdera dess effekt på benläkningen.

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Future perspectives

The overall age of the population is growing (i.e. people are living longer). As people age, their risk of developing fractures, particularly DRFs, increas-es. Therefore, it is desirable to push the boundaries of knowledge for what subgroups of fractures and patients that can be treated conservatively and still reach a good outcome. To achieve this, the techniques in radiographic evaluation and conservative treatment need to be improved. Fields of interest: To improve the validity and reliability when measuring fracture dis-

placement on radiography, including DA, RA and AC. With informative knowledge about the correlation between malunion and persistent disa-bility, useful treatment protocols can be developed and different treat-ment options can adequately be evaluated. 3D-CT can be used as a ref-erence standard to improve the assessment of DA on radiographs while new techniques can be developed to apply 3D-CT in precise measure-ments of RA and AC.

To improve conservative treatment methods to counteract fracture dis-placement during the fixation period: reduction techniques, design of mechanical support and fixation time.

To select displaced fractures in young patients with good bone quality

suitable for conservative treatment without endangering the radiographic position and thereby avoiding unnecessary surgical treatment.

To evaluate the effects of rhPDGF-BB on fracture healing. In the GEM

trial only radiography was used to assess bone healing. However, CT was also performed at all follow-ups. These images will be analysed and can contribute to increased knowledge about assessment of bone healing on CT, and to further elucidate the potential effects on fracture healing by rhPDGF-BB.

To study the protective effect against pin infection of rhPDGF.

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Acknowledgements

I wish to express my gratitude and appreciation to each and everyone who has made this work possible. In particular I would like to thank:

Sune Larsson, my main supervisor, for sharing me your great knowledge and experience in research, and for your guidance, time and good spirit. You supported me sincerely in all forms of adversity. Bengt Sandén, my co-supervisor, for your brilliant mind, patience and sense of humor. Olle Nilsson, my previous professor, for giving me the opportunity to teach and research, and for being a paragon as a physician and a human being. Per Berg, senior consultant at the fracture unit, for sharing me your great knowledge and experience in fracture care. Johan Nysjö, co-author in paper I and main author in Appendix 1 and 2, for productive collaboration. Lars Beglund, co-author in paper I and statistical advisor, for making statis-tics a little bit more understandable. Karin Huss, Elisabeth Belin and Sirpa Sunde, physiotherapists, for carry-ing out all the clinical assessments. Gunilla Persson, nurse and coordinator at the out-patient clinic, for excel-lent assistance in finding appropriate patients for the clinical studies. Håkan Bjerneld, Leif Hernefalk, Gösta Larsson, Olle Sammeli, Stefan Sundelin and Björn Thorén, consultant orthopaedic surgeons from Mora, for introducing me to Orthopaedic surgery. Colleagues in Uppsala, especially in the fracture unit, for friendship and good atmosphere.

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Kerstin and Lars Christersson, my parents, for unconditional love and support. Malin, Johanna and Oskar, my grown-up children, for bringing me so much happiness. Christina, my wonderful wife and best friend. You are everything to me.

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Appendices

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Towards User-Guided Quantitative Evaluation

of Wrist Fractures in CT Images

Johan Nysjo1, Albert Christersson2, Filip Malmberg1,Ida-Maria Sintorn1, and Ingela Nystrom1

1 Centre for Image Analysis, Uppsala University and SLU, [email protected]

2 Dept. of Orthopedics, Uppsala University Hospital, Sweden

Abstract. The wrist is the most common location for long-bone frac-tures in humans. To evaluate the healing process of such fractures, it isof interest to measure the fracture displacement, particularly the anglebetween the joint line and the long axis of the fractured long bone. Wepropose to measure this angle in 3D computed tomography (CT) imagesof fractured wrists. As a first step towards this goal, we here present afast and precise semi-automatic method for determining the long axis ofthe radius bone in CT images. To facilitate user interaction in 3D, weutilize stereo graphics, head tracking, 3D input, and haptic feedback.

1 Introduction

The standard method for examining the human skeleton after an extremity in-jury is conventional plain X-ray. This method has the disadvantage of being atwo-dimensional (2D) image representation of a three-dimensional (3D) struc-ture. The problem is partially overcome by acquiring images in more than oneprojection, and since conventional X-ray is partially transparent, it is often pos-sible to detect fractures in the extremities. To be able to decide the correcttreatment of a fracture, for example, whether a fracture needs to be operatedor not, it is important to assess the fracture displacement. When a fracture islocated close to a joint, for example, in the wrist, which is the most commonlocation for fractures in humans, the angulation of the joint surface in relationto the long axis of the long bone needs to be measured [2,7]. This is illustrated inFigure 1a. Since the joint surface in the wrist is highly irregular, and since it isdifficult to take X-rays of the wrist in exactly the same projections from time totime, conventional X-ray is not an optimal method for this purpose [3]. In mostclinical cases, conventional X-ray is satisfactory for making a correct decisionabout the treatment, but when comparing two different methods of treatment,e.g., two different operation techniques, the accuracy of the angulation of thefractures before and after the treatment needs to be higher.

To overcome the limitations associated with measuring a 3D angle in a 2Dprojection, we propose to perform all measurements in 3D computed tomography(CT) images of the wrist (see Figure 1b). To measure the desired angle, we must

L. Bolc et al. (Eds.): ICCVG 2012, LNCS 7594, pp. 204–211, 2012.c© Springer-Verlag Berlin Heidelberg 2012

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User-Guided Quantitative Evaluation of Wrist Fractures in CT Images 205

(a) (b)

Fig. 1. (a) A lateral X-ray image of the wrist with a set of conventional 2D annotationsused to measure the dorsal angle θ between the joint line and a line orthogonal to thelong axis of the radius bone. (b) A 3D CT image of the same wrist, rendered as ashaded isosurface.

perform two tasks: (1) identify the long axis of the radius bone; and (2) identifythe plane of the joint surface.

Here, we present a method for solving the first of these tasks. The proposedmethod is semi-automatic; the user is required to provide a bounding box forthe part of the radius bone that should be used to determine the long axis.This information is subsequently used as input to an automatic algorithm thatidentifies the long axis with high precision. To facilitate user interaction in 3D,we use a system that supports stereo graphics, head tracking, 3D input, andhaptic feedback.

2 User Interface

To provide accurate input to the automatic method, and to assess the accuracyof the results, it is vital that the user can visualize and interact with the 3Dimage data in an efficient way. In this section, we describe the components ofthe proposed user interface.

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Fig. 2. An orthopedic surgeon working at the visuo-haptic display

2.1 Visualization

During user interaction, the bone regions within the CT image are displayed asshaded isosurfaces, as shown in Figure 1b. To achieve interactive frame rates,those surfaces are rendered using GPU-accelerated raycasting [6].

To enhance the user’s ability to judge depth and distances when performingthe interactive axis measurements, we run our system on a stereoscopic mirrordisplay coupled with head tracking. See Figure 2.

2.2 Haptic Interaction

Haptic interaction with 3D objects is most commonly performed with hapticdevices that have one interaction point and three or six degrees of freedom(DOF). In our work, we use a PHANToM Omni device from Sensable1. ThePHANToM Omni is designed as a stylus, and the haptic feedback is given atthe stylus tip, the haptic probe. The device has 6-DOF for input and 3-DOFfor output: it takes a position and an orientation as input; and generates a forcevector as output. The device can be used with an ordinary workstation, but inour work, we have used it in combination with a specialized haptic display fromSenseGraphics2 that allows for co-localized haptics and stereo graphics. Thissetup is shown in Figure 2.

For the task of determining the long axis of the radius bone, the haptic de-vice serves as a 6-DOF input device that enables the user to perform precisepositioning, scaling, and rotation of objects in the 3D scene.

1 http://www.sensable.com2 http://www.sensegraphics.com

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User-Guided Quantitative Evaluation of Wrist Fractures in CT Images 207

2.3 Implementation Details

We have implemented the various components of the system in C++ and Python,using an open-source software toolkit called WISH. This toolkit is intended forrapid prototyping of haptic-enabled applications (see [5] for an example) andcontains implementations of various algorithms for image analysis, volume visu-alization, and volume haptics. For more information about WISH, please, referto the project web page3 or to [8].

3 Identifying the Long Axis of the Radius Bone

To determine the long axis of the radius bone, the user starts by placing ascalable bounding box around the part of the bone located beneath the joint, asshown in Figure 3. The position and orientation of the box is controlled via thehaptic device, so that the user can pick up the box and place it in the desiredlocation. The placement of the box does not need to be very precise, as theautomatic axis computation method we will use in the next step is robust tovariations in box placement.

Once the user is satisfied with the placement of the bounding box, we selectall the enclosed voxels. We then use surface normal information and an adaptedversion of the RANSAC-based method by Chaperon and Goulette [1] to computean accurate estimate of the long axis. The method consists of the following steps:

1. Use the marching cubes algorithm [4] to extract the surface of the selectedpart of the radius bone (Figure 4a).

2. Compute interpolated per-vertex normals for the extracted surface.3. Map the surface normals to points on a unit sphere (Figure 4b). The points

corresponding to surface normals that are orthogonal or near orthogonal tothe long axis of the bone will form a distinct circle on the sphere.

4. Use RANSAC to iteratively fit a plane to the circle (Figure 4c). At eachiteration, RANSAC will first construct a plane by randomly selecting threepoints from the point cloud, and then extract and count the number ofpoints that are located within a given distance threshold from this plane.The objective here is to find the plane that maximizes the number of inliers.The normal of that plane will correspond to the direction of the long axis.

5. As a refinement step, use principal component analysis (PCA) to fit a planeto the inliers obtained in step 4. The normal of this plane will replace thenormal obtained in step 4 and be selected as a candidate axis.

6. Repeat step 4–5 N times to generate a set of candidate axes.7. Average the N candidate axes to obtain the final axis estimate (Figure 4d).

The method depends on the following parameters: the isovalue tiso used for sur-face extraction; the distance threshold tdist ∈ [0, 1] used for outlier removal; thenumber of iterations K performed by RANSAC; and the number of repetitionsN . The value of tiso should be based on the Hounsfield unit (HU) value for bone

3 http://www.cb.uu.se/research/haptics/

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208 J. Nysjo et al.

Fig. 3. The bounding box tool used for selecting a part of the radius bone. The boxcan be translated, rotated, and scaled with the haptic device.

tissue. The value of tdist translates into an angle and can be estimated usinga priori shape information about the bone. K should be set to a high value toensure, with a reasonable high probability, that at least one plane with a good fitto the circle is selected. Experimentally, we have found K = 1000 to be sufficientfor our datasets. Finally, the value of N should also be set high, e.g., N = 100.Axes produced by single runs of RANSAC tend to be slightly misaligned, butby running RANSAC several times and averaging the results, we can obtain anaccurate estimate of the desired axis.

A similar method was presented by Winkelbach et al. [9], who used surfacenormal information and a Hough-transform voting scheme to measure the axesof cylindrical bone fragments. That method, however, can only be used for cylin-drical surfaces. In Figures 3 and 4, we can see that the part of the radius bonethat we are interested in performing axis measurements on is conical rather thancylindrical. Hence, the method of [9] would not be able to find the desired axisin our case.

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User-Guided Quantitative Evaluation of Wrist Fractures in CT Images 209

(a) (b)

(c) (d)

Fig. 4. RANSAC-based axis estimation: (a) extracted isosurface; (b) surface normalsmapped on a unit sphere; (c) RANSAC plane fitting; (d) estimated axis

4 Experiment and Results

For this experiment, we used 14 CT images of fractured wrists. The images havethe dimensions 512 × 512 × Nz, where the number of slices Nz ranges from 92to 243. The pixel resolution is between 0.2 and 0.4 mm and the slice thicknessranges from 0.8 to 1.0 mm. Before loading the CT images into our system, weconverted them from stacks of DICOM images to 8-bit VTK volume images withgraylevel values between 0 and 255.

One user (an orthopedic surgeon) performed repeated axis measurements onthe 14 CT images using the proposed system. A short training session allowed theuser to become familiar with the system before the measurements started. Theuser repeated the measurements three times for each image, and was, to reducelearning bias, instructed to change image after each measurement. The axes werecomputed using the method described in Section 3, with the fixed parameterstiso = 90 (which corresponds to 1084 HU), tdist = 0.25 (which corresponds to a14 degree angle), K = 1000, and N = 100. In total, 42 axes were measured.

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Table 1. The geodesic distances (in degrees) between the axes A1, A2, and A3 thatone user obtained by performing repeated axis measurements on the radius bone in 14CT wrist images

Wrist imageAxis pair 1 2 3 4 5 6 7 8 9 10 11 12 13 14

A1A2 0.43 0.23 0.14 0.21 0.95 0.56 0.17 0.49 0.86 0.82 1.23 0.35 0.36 0.24A1A3 0.37 0.29 0.18 0.23 1.03 0.68 0.50 1.33 0.10 0.23 0.26 0.83 0.62 0.18A2A3 0.27 0.11 0.17 0.19 1.77 0.18 0.32 0.87 0.78 0.59 1.28 1.15 0.36 0.32

(a) (b) (c)

Fig. 5. The axis measurement results obtained for (a) wrist 1, (b) wrist 7, and (c)wrist 12. Note that each image shows three (mostly overlapping) axes that have beencomputed with different bounding boxes.

The 42 axis measurements required, on average, an interaction time of ∼ 20seconds and a computational time of 20± 5 seconds. To assess intra-user preci-sion, we represented the obtained axes as points on a unit sphere and computed,for each axis triplet {A1, A2, A3}, the geodesic distances between the points. Ta-ble 1 shows the resulting distance values expressed in degrees. The overall smalldistance values achieved indicate that our method has a high repeatability andis robust to variations in the placement of the bounding box. Figure 5 illustratesthe axis measurement results. Shifting the parameter values ±15% caused onlyslight (on average, less than 0.5 degrees) differences in the measurement results,indicating that the method is fairly robust to the choice of parameter values.Since we have performed the measurements on real data, there is no groundtruth available to verify the obtained axes against. The axes have, however,been visually inspected and deemed acceptable for their intended usage.

5 Conclusions

As stated in the introduction, our goal in this project is to develop a robust andaccurate method for measuring the angulation of the joint surface in relationto the long axis of the radius bone in CT images of fractured wrists. Here, we

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User-Guided Quantitative Evaluation of Wrist Fractures in CT Images 211

have presented a method for solving the first part of this task: to determine thelong axis of the radius bone. In an empirical study, we have demonstrated thatthe proposed method allows the long axis to be determined with high precision,with only limited user input. The overall measurement procedure takes less than1 minute to perform, making the method suitable for interactive use.

To facilitate user interaction in 3D, we have implemented the proposed methodin a system that utilizes stereo graphics, head tracking, and haptic feedback. Inaddition to enabling precise quantitative measurements, we believe that this userinterface is of great value for qualitative assessment of wrist fractures. Initialresponse from orthopedic surgeons who have tested the system has been verypositive. Next, we plan to complete the system with a method for determiningthe orientation of the joint surface.

References

1. Chaperon, T., Goulette, F.: Extracting Cylinders in Full 3D Data Using a RandomSampling Method and the Gaussian Image. In: Proceedings of the Vision Modelingand Visualization Conference, VMV 2001, pp. 35–42. AKA-Verlag (2001)

2. Friberg, S., Lundstrom, B.: Radiographic measurements of the radio-carpal joint innormal adults. Acta Radiologica Diagnosis 17(2), 249–256 (1976)

3. Kreder, H.J., Hanel, D.P., McKee, M., Jupiter, J., McGillivary, G., Swiontkowski,M.F.: X-ray Film Measurements for Healed Distal Radius Fractures. The Journalof Hand Surgery 21(1), 31–39 (1996)

4. Lorensen, W.E., Cline, H.E.: Marching cubes: A high resolution 3D surface con-struction algorithm. SIGGRAPH Computer Graphics 21(4), 163–169 (1987)

5. Nystrom, I., Nysjo, J., Malmberg, F.: Visualization and Haptics for Interactive Med-ical Image Analysis: Image Segmentation in Cranio-Maxillofacial Surgery Planning.In: Badioze Zaman, H., Robinson, P., Petrou, M., Olivier, P., Shih, T.K., Velastin,S., Nystrom, I. (eds.) IVIC 2011, Part I. LNCS, vol. 7066, pp. 1–12. Springer, Hei-delberg (2011)

6. Stegmaier, S., Strengert, M., Klein, T., Ertl, T.: A Simple and Flexible VolumeRendering Framework for Graphics-Hardware-based Raycasting. In: Fourth Inter-national Workshop on Volume Graphics, vol. 5, pp. 187–241 (2005)

7. Van Der Linden, W., Ericson, R.: Colles fracture. How should its displacementbe measured and how should it be immobilized? The Journal of Bone and JointSurgery 63(8), 1285–1288 (1981)

8. Vidholm, E.: Visualization and Haptics for Interactive Medical Image Analysis.Ph.D. thesis, Uppsala University (2008)

9. Winkelbach, S., Westphal, R., Goesling, T.: Pose Estimation of Cylindrical Frag-ments for Semi-automatic Bone Fracture Reduction. In: Michaelis, B., Krell, G.(eds.) DAGM 2003. LNCS, vol. 2781, pp. 566–573. Springer, Heidelberg (2003)

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Precise 3D Angle Measurementsin CT Wrist Images

Johan Nysjo1, Albert Christersson2, Ida-Maria Sintorn1, Ingela Nystrom1,Sune Larsson2, and Filip Malmberg1

1 Centre for Image Analysis, Uppsala University and SLU, [email protected]

2 Dept. of Orthopedics, Uppsala University Hospital, Sweden

Abstract. The clinically established method to assess the displacementof a distal radius fracture is to manually measure two reference angles,the dorsal angle and the radial angle, in consecutive 2D X-ray imagesof the wrist. This approach has the disadvantage of being sensitive tooperator errors since the measurements are performed on 2D projectionsof a 3D structure. In this paper, we present a semi-automatic systemfor measuring relative changes in the dorsal angle in 3D computed to-mography (CT) images of fractured wrists. We evaluate the proposed 3Dmeasurement method on 28 post-operative CT images of fractured wristsand compare it with the radiographic 2D measurement method used inclinical practice. The results show that our proposed 3D measurementmethod has a high intra- and inter-operator precision and is more preciseand robust than the conventional 2D measurement method.

Keywords: Wrist fractures, CT, angle measurements, bone segmenta-tion, interactive mesh segmentation, surface registration

1 Introduction

Distal radius fractures occur when the radius bone in the wrist breaks betweenthe shaft and the joint surface. The clinically established method to assess thedisplacement of such fractures is to manually measure two reference angles, thedorsal angle and the radial angle, in 2D X-ray images of the wrist [4], as illus-trated in Fig. 1. Although this approach usually works well enough for diagnosisand treatment-guidance in clinical practice, it has the disadvantage of beingsensitive to operator errors since the angle measurements are performed on 2Dprojections of 3D structures. An intra- and inter-operator variability of 3–4◦ hasbeen reported [4,5], which is to high for, e.g., orthopedic research studies wheremore precise angle measurements are required to compare different methods oftreatment. The lack of depth in X-ray images makes it difficult to assess the 3Dpositions of the bone structures. Moreover, consecutive X-ray images are seldomacquired at exactly the same angle, and the contours of the bones are oftensmooth, which makes it difficult to define reliable landmarks for the measure-ments. In this paper, we aim to overcome these issues and precision limitationsby measuring the dorsal angle in 3D computed tomography (CT) images.

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(a) (b) (c)

Fig. 1: (a) Frontal X-ray image of a distal radius fracture. The arrow marks thefracture location. (b) The dorsal angle, θ, measured in 2D on a lateral X-rayimage of the same wrist. θ is defined as the angle between the joint line JL anda line that is orthogonal to the long axis RA of the radius. (c) A 3D renderingshowing the radius bone and the reference axes we need to identify to measurethe dorsal angle in 3D.

To measure the dorsal angle in 3D, we need to identify two components: (1)the long axis RA of the radius shaft; and (2) a local reference coordinate system(Xr, Yr, Zr) defining the orientation of the joint surface. These components areillustrated in Fig. 1c. The first component, the long axis, can be identified us-ing surface normal information and random sampling consensus (RANSAC), asproposed in [9]. In this paper, we focus on the second component, presenting aprecise semi-automatic method for identifying and tracking the orientation of thejoint surface over time. By combining this method with the previously presentedaxis estimation method [9], we obtain a system that can be used to measurerelative changes in the dorsal angle in 3D CT images of fractured wrists.

2 Image Data and Preprocessing

The image data used here consists of 28 post-operative CT images of fracturedwrists in six patients. Each patient was scanned at 4–6 different occasions, 0–24weeks after surgery. The CT images were acquired with a pixel spacing of 0.16–0.39 mm and a slice thickness of 0.4–0.8 mm. The original image dimensionswere 512×512×Nz voxels, where the number of slices, Nz, ranged from 72–346.We converted each of these CT images from a stack of 16-bit DICOM imageswith graylevel values between -1024 and 3071 to an 8-bit VTK volume image

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with normalized graylevel values between 0 and 255. Thereafter, we cropped theconverted CT images closely around the radius to reduce the amount of data andspeed up processing. We subsequently reflected left wrists into right wrists tosimplify the construction of reference coordinate systems (our method assumesa right-handed coordinate system). Finally, we resampled the volume data fromanisotropic to isotropic voxel size using cubic interpolation.

3 Identifying and Tracking the Joint Surface Orientation

This section describes our proposed semi-automatic method for identifying andtracking the orientation of the joint surface of a fractured radius over time. Themethod consists of three main steps: segmentation, template generation, andsurface registration.

3.1 Segmentation

The first task is to create an accurate surface-mesh representation of the radius.The radius shaft is mainly composed of dense (cortical) bone, which appearssignificantly brighter than other tissue types in CT and is straight-forward tosegment using, for instance, global thresholding. The joint surface, on the otherhand, needs to be more flexible and is therefore composed of spongy (trabecular)bone, of which intensity distribution partly overlaps that of skin and soft-tissue.Because of this intensity overlap, simple intensity-based segmentation methodssuch as global thresholding cannot completely separate the radius from the rest ofthe image. The segmentation task is further complicated by partial volume effects(PVE) and the, in comparison with the image resolution, very narrow spacingbetween the articulated surfaces of the wrist bones. This leads to blurring of thejoint boundaries, making it difficult to separate the wrist bones from each othereven though they are not actually connected.

A common approach to deal with intensity inhomogeneities and image im-precisions is to use segmentation methods that not only consider the intensityof the voxels but also their spatial relationships. One such method is hysteresisthresholding [3], where the idea is to (1) define an upper threshold thigh and alower threshold tlow for the object of interest, (2) threshold the image at thighto generate a set of bright seed voxels that are assumed to belong completely tothe object of interest, (3) threshold the image at tlow to extract darker candi-date object voxels, and (4) apply connectivity analysis to identify and removeall candidate object voxels that are not connected to at least one seed voxel.This method lends itself well for segmenting bone in CT since the approximateHounsfield unit (HU) ranges for cortical and trabecular bone are known.

We segmented the wrist bones using hysteresis thresholding with fixed thresh-olds tlow = 76 and thigh = 89, which correspond to the lower intensity range fortrabecular and cortical bone, respectively. We then used the marching cubes algo-rithm [8] to generate a triangular mesh representation of the segmented bones,which, to reduce staircase artifacts, had been postprocessed with a Gaussian

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(a) (b) (c)

Fig. 2: Segmentation of the wrist bones: (a) preprocessed CT image; (b) segmen-tation result obtained with hysteresis thresholding; (c) surface mesh extractedfrom the segmented image with the marching cubes algorithm.

smoothing kernel of size σ = 0.7 mm. The resulting mesh was simplified fromon average 1,000K triangles to 340K triangles using the vtkDecimatePro filterfrom the Visualization Toolkit (VTK) library3 and moderately smoothed with aLaplacian filter (20 iterations, relaxation factor 0.1) to improve the mesh quality.Thereafter, we used interactive mesh-cutting by random walks [7] to separatethe radius from the carpal bones and the ulna. Figures 2 and 3 illustrate thesegmentation process. The sketch-based seeding interface allows the user to drawseeds directly on the surface mesh and was implemented using 3D ray-pickingaccelerated by an octree.

3.2 Template Generation

Having segmented the radius, our next task is to construct a template of thejoint surface. We also need to derive a local reference coordinate system for thistemplate that can be used to describe the orientation of the joint surface.

Building a statistical shape model of the joint surface is difficult due tothe high shape-variability of the radius. Instead, we use the joint surface inthe first postoperative CT image as template and construct a local referencecoordinate system (similar to that in [6]) from user-defined landmarks. Figure 4illustrates the idea. The user has to perform two interactive tasks: (1) select threelandmarks corresponding to the small peaks located at the corners of the jointsurface; and (2) position a 3D cutting plane so that it separates the joint surfacefrom the radius shaft and the fracture. To keep the interaction task as simpleas possible, the cutting plane is initially aligned to the landmarks and cannotbe scaled or rotated but only translated along its normal direction. We define

3 URL: http://www.vtk.org/

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(a) (b) (c)

Fig. 3: Interactive separation of the radius from the carpal bones and the ulna: (a)original mesh; (b) user-defined seeds that have been drawn directly on the bonesurface using our sketch-based segmentation interface; (c) mesh segmentationobtained with random walks.

an initial reference coordinate system (X ′r, Y

′r , Z

′r) as follows: Y ′

r = l1 − l2+l32 ;

Z ′r = (l1 − l2) × (l3 − l2); and X ′

r = Zr × Yr. The actual reference coordinatesystem (Xr, Yr, Zr) is then obtained by applying a transform R that performs a20-degree counterclockwise rotation of (X ′

r, Y′r , Z

′r) about X

′r, so that Xr = X ′

r,Yr = RY ′

r , and Zr = RZ ′r. The rotation corresponds roughly to the normal

radial angle [5] in intact wrists and is required to align the axes correctly. Xr

corresponds to the reference line JL shown in Fig. 1b. The landmarks positioningdoes not need to be very precise, but must be performed as indicated in Fig. 4.

3.3 Surface Registration

The third and final task is to register the template mesh extracted from the firstpostoperative CT image against the radius meshes extracted from the remainingn − 1 follow-up images in the CT scan sequence, so that we can determine theorientation of the joint surface in each image. To accomplish this, we developed asemi-automatic surface registration interface based on the iterative closest point(ICP) [2] algorithm. The registration is performed in two steps:

1. Coarse alignment of the template by procrustes analysis of user-defined land-marks.

2. Precise surface registration using a modified ICP algorithm, with the tem-plate as source mesh and the segmented radius as target mesh.

Figure 5 illustrates the registration process. Step 1 is required because ICPneeds a good starting guess to produce accurate registration results. After ap-plying ICP, we obtain a rigid-body transformation that, together with the localreference axes of the template, defines the orientation of the target joint surface.

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Fig. 4: Generation of a joint-surface template. The local reference coordinatesystem shown in the lower right image is derived from the three landmarks.

The original ICP algorithm described in [2] assumes that the input data isoutlier-free and, further, that every point in the source mesh corresponds toa point in the target mesh. Unfortunately, neither of these assumptions holdsfor our data: due to segmentation errors and various CT image artifacts, thetemplate might not overlap the target mesh completely, and even if perfect seg-mentation results were available, the joint surface might be fractured and havesmall disconnected fragments that move around during the healing. Further-more, the original ICP algorithm does not take surface normal information intoaccount, which means that there is no guarantee that it will actually fit the outeror the inner surface of the template to the corresponding surface of the radius.Our initial experiments with ICP showed that even with a good initialization,the algorithm can produce poor registration results by, for instance, fitting theouter surface of the template to the inner surface of the radius.

To remedy these problems, we implemented a modified ICP algorithm that, inevery iteration, (1) identifies and rejects all closest point pairs of which normaldirections differ more than 90 degrees and (2) rejects 10% of the remainingpoint pairs with the largest point-to-point distances. The second rejection criteria

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Fig. 5: Joint-surface registration. Left: user-defined landmarks. Middle: coarseregistration obtained by aligning the landmarks. Right: registration result afterrefinement with ICP.

makes the algorithm more robust to segmentation errors. The implementationis entirely CPU-based and uses a kd-tree for accelerated closest-point search.

3.4 Implementation Details

We implemented the proposed segmentation and registration pipeline usingVTK, Python4, and NumPy/SciPy5. To solve the sparse linear system [7] gen-erated in the mesh-segmentation step, we used a Ruge-Stuben-based algebraicmultigrid solver obtained from the PyAMG library [1].

4 Computing the Dorsal Angle

Using the reference axes RA and Xr extracted with the methods described in [9]and in Section 3, respectively, we compute the dorsal angle θ as

θ =π

2− arccos(RA ·Xr). (1)

5 Experiments and Results

Two test users performed repeated 3D angle measurements on the six CT scansequences described in Section 2. The first user (U1) was an orthopedic sur-geon with long experience of measuring wrist angles in 2D, whereas the second

4 URL: http://www.python.org/5 URL: http://www.scipy.org/SciPy/

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user (U2) was a PhD student in image analysis who had no prior experience ofevaluating wrist fractures. The first user had not used the system before andtherefore received a short training session before the experiment started. Eachuser repeated the measurements five times on the four CT scan sequences thatincluded most samples and two times on the remaining two CT scan sequences,measuring 111 angles in total. The experiments were performed on a laptopequipped with an Intel Core i7-3612QM 2.1 GHz CPU, 8 GB DDR3 RAM, anIntel HD Graphics 4000 GPU, and 64-bit Ubuntu Linux 12.04. In addition, oneof the users (U1) performed conventional 2D angle measurements on plain X-rayimages that had been acquired at the same occasions as the CT images.

Figures 6 and 7 illustrate the angle measurement results. The intra-operatorprecision (mean angle difference ±1.96 SD) of the 3D measurement method was0.07±0.74◦ for user U1 and 0.21±0.56◦ for user U2, and the inter-operator preci-sion was 0.19± 1.09◦, indicating high repeatability. The intra-operator precisionof the 2D measurement method was considerably lower, −0.05±4.82◦, confirmingthe limitations of the method. The mean computational time required to processa single CT image was 21.8± 7.0 seconds: 3.7± 2.2 s for hysteresis thresholding,4.8 ± 3.2 s for surface extraction, 4.0 ± 1.1 s for random walks, 7.7 ± 2.4 s forICP registration, and 1.6 ± 0.6 s for RANSAC axis estimation. The total time(interaction time plus computational time) required to process a sequence offive CT images was ∼10 minutes. There is no ground truth available to verifythe obtained angles against, but the segmentation and registration results wereconsidered successful in all trials, and the obtained axes RA and Xr have beenvisually inspected and deemed accurate enough.

6 Conclusion

We have presented a semi-automatic method for identifying and tracking theorientation of the radius joint surface in 3D CT images of fractured wrists. Bycombining this method with a previously developed method for identifying thelong axis of the radius, we have also developed a system that enables precise3D measurements of relative changes in the dorsal angle, one of the referenceangles orthopedic surgeons use to assess the displacement of wrist fractures. Theresults presented in this paper show that our proposed 3D angle measurementmethod has a high intra-and inter-operator precision and is more precise thanthe conventional 2D measurement method used in clinical practice. The systemis efficient enough for interactive usage and allows a user with no prior experienceof evaluating wrist fractures to achieve similar results as an expert.

Next, we plan to deploy the presented system in orthopedic research stud-ies where the objective is to compare different methods of fracture treatment.We also plan to extend the system so that it can be used to measure relativechanges in other 3D rotation angles defined for the wrist, for instance, the radialangle [4]. Finally, we aim to further improve the robustness and accuracy of theangle measurement method. This could be achieved by, for instance, automa-

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(a) Patient 1 (b) Patient 2

(c) Patient 3 (d) Patient 4

Fig. 6: Relative dorsal angles obtained in five trials with our proposed 3D mea-surement method (3D CT) and the conventional 2D measurement method (2DX-ray). U1 and U2 denote the two test users who performed the repeat mea-surements. The vertical bars show the mean and the range of the angles.

tizing some of the interactive steps or replacing the underlying surface-basedsegmentation and registration methods with volumetric counterparts.

References

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(a) Intra-operator precision (3D CT) (b) Intra-operator precision (2D X-ray)

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