breast cancer surgery & treatment
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Digital Mammography andComputer-Aided Diagnosis
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Breast Cancer
One out of every seven womenwas diagnosed with breastcancer in 2007
Fortunately, radical mastectomy(surgical removal) is rarelyneeded today with bettertreatment options
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Breast cancer is second only to lung cancer asa cause of cancer deaths in American women
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Outline
Female Breast Anatomy
Breast CancerMammography
Computer-Aided Diagnosis of BreastCancer
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Muscles
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Breast hasno
muscle tissue
Musclesunderneaththe breasts
separating themfrom the ribs
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Female Breast Anatomy
Breasts consistmainly of fatty tissue
interspersed withconnective tissue
There are also less
conspicuous partslobesductslymph nodes
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Breast Gland
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Each breast has 15 to 20sections ( lobes) arrangedlike the petals of daisy
Inside each lobe are manysmaller structures calledlobules
At the end of each lobuleare tiny sacs ( bulbs) thatcan produce milk
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Ducts
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Areola
Lobes, lobules,and bulbs are
Linked by anetwork of thintubes (ducts)
Ducts carrymilk from bulbs
toward dark areaof skin in thecenter of the
breast (areola)
Ducts join togetherinto larger ducts ending
at the nipple, wheremilk is delivered
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Blood Vessels
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Oxygen, nutrients, and otherlife-sustaining nourishmentare delivered to breast tissueby the blood in the arteries and capillaries .
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Lymphatic System
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Lymph ducts : Drain fluidthat carries white bloodcells (that fight disease)from the breast tissuesinto lymph nodes underthe armpit and behindthe breastbone
Lymph nodes : Filterharmful bacteria andplay a key role infighting off infectionA network of vessels
Lymph ductLymph node
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Three Types of Vessels
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BacteriaBlood
VesselsCell life
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LymphNodes
LymphVessels
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MilkLobules Ducts Nipple1
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Signs and Symptoms
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Most common :lump orthickening inbreast. Oftenpainless
Change in coloror appearanceof areola
Redness or pitting
of skin over thebreast, like theskin of an orange
Dischargeorbleeding
Change in sizeor contours of breast
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Noncancerous Conditions (1)Fibrocystic changes : Lumpiness, thickening andswelling, often associated with a womans period Cysts : Fluid-filled lumps can range from very tiny
to about the size of an eggFibroadenomas : A solid, round, rubbery lump thatmoves under skin when touched, occuring most in
young women
Infections : The breast will likely be red, warm,tender and lumpyTrauma : a blow to the breast or a bruise can causea lump
7/16/2012 CBMS2006 12
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Noncancerous Conditions (2)
Microcalcifications : Tiny deposits of calciumcan appear anywhere in a breast and oftenshow up on a mammogram
Most women have one or more areas ofmicrocalcifications of various sizes
Majority of calcium deposits are harmlessA small percentage may be precancerous or cancer(biopsy is sometimes recommended)
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Causes
Some of the cells begin growing abnormallyThese cells divide more rapidly than healthycells do and may spread through the breast,to the lymph or to other parts of the body(metastasize)
The most common type of breast cancerbegins in the milk-production ducts, butcancer may also occur in the lobules or inother breast tissue
7/16/2012 CBMS2006 14
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Normal Breast
Breast profile
A ducts
B lobules
C dilated section of duct to hold milkD nipple
E fat
F pectoralis major muscle
G chest wall/rib cage
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Enlargement
A normal duct cells
B basement membrane (duct wall)
C lumen (center of duct)
Illustration Mary K. Bryson
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Ductal Carcinoma in situ(DCIS)
16Illustration Mary K. Bryson
Ductalcancercells
Normalductalcell
Carcinoma refers to anycancer that begins in theskin or other tissues thatcover internal organs
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Invasive Ductal C arcinoma(IDC 80% of breast cancer )
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The cancer has spread to thesurrounding tissues
Illustration Mary K. Bryson
Ductal cancercells breakingthrough thewall
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Range ofDuctal Carcinoma in situ
18 I l l u s
t r a
t i o n
M a r y
K .
B r y s o n
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Invasive Lobular Carcinoma(ILC)
19Illustration Mary K. Bryson
Lobular cancercells breaking
through the wall
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Cancer Can also InvadeLymph or Blood Vessels
20Illustration Mary K. Bryson
Cancer cellsinvade
lymph duct
Cancer cellsinvadebloodvessel
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Mammography Use a low-dose x-ray system to examinebreastsDigital mammography replaces x-ray
film by solid-state detectors thatconvert x-rays into electrical signals.These signals are used to produce imagesthat can be displayed on a computerscreen (similar to digital cameras)Mammography can show changes in thebreast up to two years before aphysician can feel them
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Computer-Aided Diagnosis
Mammography allows for efficientdiagnosis of breast cancers at an
earlier stageRadiologists misdiagnose 10-30%of the malignant cases
Of the cases sent for surgicalbiopsy, only 10-20% areactually malignant
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National Cancer Institute
CAD systemscan assist
radiologists toReduce these
problems
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What Mammograms Show
Two of the most important mammographicindicators of breat cancers
MassesMicrocalcifications : Tiny flecks of calcium likegrains of salt in the soft tissue of the breastthat can sometimes indicate an early cancer.
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Detection of Malignant Masses
Malignant masses have a more spiculated
appearance
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malignant
benign
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Mammogram Difficult Case
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Heterogeneously dense breastCancer can be difficult todetect with this type of
breast tissueThe fibroglandular tissue(white areas) may hide thetumor
The breasts of youngerwomen contain more glandsand ligaments resulting indense breast tissue
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Mammogram Easier Case
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With age, breast tissue
becomes fattier and hasfewer glandsCancer is relatively easyto detect in this type ofbreast tissue
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Different Views
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Top-to-Bottom
Side-to-SideMRI - Cancer can have a uniqueappearance many small irregular
white areas that turned out to becancer (used for diagnosis)
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Scalar Field
A scalar field is a n-dimensional spacewith a scalar value attached to each
point in the space (e.g., a gray-scaleimage)
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Scalar Field and Gradient
A scalar field is a n-dimensional spacewith a scalar value attached to each
point in the space (e.g., a gray-scaleimage)The derivative of a scalar field resultsin a vector field called the gradient
i.e., the gradient is a vector fieldwhich points in the direction of the greatestrate of increase of the scalar field, andwhose magnitude is the greatest rate of change
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Black representingHigher values
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Gradient The derivative of a scalar fieldresults in a vector field calledthe gradient
i.e., the gradient is a vectorfield
which points in the direction ofthe greatest rate of increaseof the scalar field, andwhose magnitude is thegreatest rate of change
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Black representingHigher values
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Cartesian Gradient For an image functionI(P) where P is a pixel,the Cartesian gradient at
P is:
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y
P I x
P I
Pg )(
)(
)(
x
P I yP I
P )(
)(
arctan)(
Orientation:
yP I
xP I Pm )()()(
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Magnitude:
)(P
)(Pg
P
( ) I P
y
( ) I P
x
( )
tan( )
I P y
I P x
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Radial Gradient
The radial gradientvector has the samemagnitude as theCartesian gradientvector, but
the orientation is givenas:
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)(P
)(Pg
P
)()()( PPPr
)(Pr
)(P
Radial gradient
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Feature: Spiculation [Huo et al.]Extract the mass using aregion-growing techniqueThe maximum gradient and
its angle relative to theradial direction arecomputedCalculate the full-width at
half-maximum (FWHM)from the cumulativegradient orientationhistogram
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Feature: Spiculation [Chan et al.]Determine the outline ofthe segmented massObtain the rubber-band-
straightening-transformedimageThe spicules becomeapproximately aligned in asimilar direction
The rectangular region canthen be subjected totexture analysis
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Breast Calcifications
Calcifications show up aswhite spots on a mammogram
Round well-defined, largercalcifications (left column)are more likely benign
Tight cluster of tiny,irregularly shapedcalcifications (right column)may indicate cancer
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Calcification FeaturesThe morphology of individualcalcification, e.g., shape, area,and brightness
The heterogeneity of individualfeatures characterized by themean, the standard deviation,and the maximum value for each
feature.Cluster features such as totalarea, compactness
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Database Approach toComputer-Aided Diagnosis
The database consists of a largenumber of images with verifiedpathology results
Diagnosis is done by submittingthe suspected mass region as aquery to retrieve similar casesfrom the database
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Content-based image retrieval techniques canprovide radiologists visual aids to increaseconfidence in their diagnosis
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A Mammography CAD System[Giger et al.]
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Probability ofmalignancy
Similar images ofknown diagnosis
Indicates the unknownlesion relative to alllesions in the database
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