comparison of recist 1.0 and 1.1 - impact on data management

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Comparison of RECIST 1.0 and 1.1 - Impact on Data Management Kevin Shea Senior Solutions Architect C3i, Inc.

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A review of the two RECIST versions, noting similarities and differences, highlighting the improvements in v.1.1. This information is used to discuss how some of the challenges RECIST presents to data management can be addressed.

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Page 1: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

Kevin Shea Senior Solutions Architect C3i, Inc.

Page 2: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

Disclaimer

•  The views and opinions expressed in the following PowerPoint slides are those of the individual presenter and should not be attributed to Drug Information Association, Inc. (“DIA”), its directors, officers, employees, volunteers, members, chapters, councils, Special Interest Area Communities or affiliates, or any organization with which the presenter is employed or affiliated.

•  These PowerPoint slides are the intellectual property of the individual presenter and are protected under the copyright laws of the United States of America and other countries. Used by permission. All rights reserved. Drug Information Association, Drug Information Association Inc., DIA and DIA logo are registered trademarks. All other trademarks are the property of their respective owners.

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Page 3: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

Objectives

•  Describe RECIST •  Independent imaging review •  Manage external imaging data

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Page 4: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

Agenda

•  Background •  RECIST

– Overview – Parameters – RECIST V 1.0 vs. 1.1

•  Independent Review •  Data Management Considerations •  Conclusions

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Page 5: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

Background

•  Oncology clinical trials utilize imaging assessment as surrogate endpoint

•  Imaging involves variations in modality, techniques, and reader assessment, training

•  Standardization – variability, repeatability •  RECIST – well-adopted standard •  Data Management processes can be used to

monitor assessment data to track quality and safety

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Page 6: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

RECIST Overview

•  Response Evaluation Criteria In Solid Tumors •  Establish referenceable, repeatable standards •  Based on WHO criteria (1981) •  Established 2000 (v.1.0), Updated 2009 (v.1.1) •  PII focus, PIII applicability •  Endpoints – ORR, PFS •  Well-adopted in ICLs •  Challenges at AROs and local imaging sites

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Page 7: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

RECIST Parameters

•  Serial review – baseline to completion •  Quantify tumor burden •  Qualitative assessment of remaining lesions •  Lesion classification •  Consistent assessment categories •  Associate changes with efficacy

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Page 8: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

Evaluation Process

•  Baseline – key to establish as comparator of subsequent timepoints –  Target – Sum of Longest Diameters –  Non-Target – document all other disease

•  Post-Baseline –  Target

•  Sum Diameters •  Compare to BSL/Prev TPs, Establish nadir

–  Non-Target – evaluate for substantial change –  New – Review for presence

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Page 9: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

RECIST Lesion Classifications

•  Target – representative of disease, able to reproducibly measure and track over time

•  Non-target – all other lesions or sites of disease, tracked qualitatively

•  New – post-baseline presence of new disease

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Page 10: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

RECIST Response Criteria

•  CR – Complete Response –  Disappearance of all target lesions

•  PR – Partial Response –  30% reduction in SLD

•  SD – Stable Disease –  Neither response or progression

•  PD – Progressive Disease –  20% increase in SLD –  Presence of new lesion

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Page 11: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

RECIST End Points

•  Response – Timepoint response – Best overall response – Confirmation – 4-6 weeks (maybe required)

•  Progression – Target SLD > 20% of nadir – Non-target – unequivocal progression – Date of progression

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Page 12: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

RECIST V 1.0 and 1.1

•  Uni-dimensional measurement •  Tumor burden based on sum of diameters •  Lesion classification scheme •  Response categories

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Consistencies

Page 13: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

RECIST V 1.0 and 1.1 Differences

V 1.0 (2000)

•  Max 10 Target / Max 5 per organ

•  ≥ 10 mm LD (spiral CT) ≥ 20 mm LD (other)

•  Lymph Nodes not specified

V 1.1 (2009)

•  Max 5 Target / Max 2 per organ

•  ≥ 10 mm LD or 2x slice (extranodal)

≥15 mm SAD (nodal)

•  Lymph Nodes >10 mm pathological

≥ 15 mm measureable

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Page 14: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

RECIST V 1.0 and 1.1 Differences

V 1.0 (2000)

•  CR – disappearance all lesions

•  Targ-PD – SLD ≥ 20% of nadir

NTarg-PD – unequivocal progression

•  New – not specifically

defined

V 1.1 (2009)

•  CR – disappearance all extranodal lesions, nodal < 10 mm

•  Targ-PD – SoD ≥ 20% and ≥ 5 mm from nadir

NTarg-PD – unequivocal progression w/substantial worsening

•  New – unequivocal, not based on imaging tech.

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Page 15: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

Central Review of Images

•  Focus on consistency, repeatability •  Limited reader pool •  Training and review of cases •  BICR - typical process: dual reader w/

adjudication – Two primary readers – Adjudication for discordance on end points

•  Various quality processes incorporated

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Page 16: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

BICR Process

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Page 17: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

Site and Central Review

Imaging Site •  Clinical focus •  Do not generally utilize

RECIST •  Not blinded •  Access to all clinical data •  Limited protocol training

Central Review •  Focus on imaging •  RECIST w/ limited pool of

readers •  Blinded •  Limited access to clinical

data •  Image Review Charter

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Page 18: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

Data Management Considerations

•  RECIST version challenges •  Site vs. Central Review data •  Central Review

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Page 19: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

RECIST Version Challenges

•  Impact of migrating to v. 1.1 or maintaining v.1.0 and v. 1.1 studies

•  Target lesions –  Total number –  Number per organ

•  Lymph nodes •  Sum of Diameters •  Non-target progression •  New Lesions

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Page 20: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

RECIST Version Impact

•  CRF Design •  Derivation procedures •  Edit checks •  Data quality reviews •  Emphasis on training and quality control •  Focus on non-target progression and new

lesions

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Page 21: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

Site vs. Central Review

•  Comparison of endpoint results •  Concordance noted in previous studies •  Not based on consistent techniques •  Intra-study comparisons should be established

early

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Page 22: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

Site vs. Central Review (2)

•  Develop processes to analyze: –  Previous study data –  Consistency of sites with central

•  Distinguish trends •  Establish “normal discordance” rate

–  Identify outlier sites •  Outlier sites can be reviewed further

–  Re-training –  Imaging technique

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Page 23: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

Central Review Data

•  Win-Loss Adjudication Rates •  Intra-Reader Variability •  Inter-Reader Variability •  Monitor BICR discordance and adjudication •  Analyze variability

–  Tumor type –  Intervention

•  Evaluate quality between RECIST 1.0 and 1.1 studies

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Page 24: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

Central Review Data (2)

•  Establish normal levels of variability and discordance for v. 1.0 and v. 1.1

•  Analyze for variables •  Assess for suitability in future studies •  Establish parameters for site and central

review data in future studies

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Page 25: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

Conclusions

•  RECIST 1.1 – attempt to improve and simplify •  Comparisons between 1.0 and 1.1 data should be closely

monitored •  Follow-on studies may remain at v. 1.1 •  Fewer target lesions dictates attention to discordance and

variability •  Non-target progression and new lesions should be reviewed

for adherence to standard •  Incorporation of PET for confirmation should be considered •  Protocol-specific requirements may drive DM process and

QA controls

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Page 26: Comparison of RECIST 1.0 and 1.1 - Impact on Data Management

Acknowledgements

I’d like to thank the following people for their help in preparing this presentation

•  Robert Ford •  Eric Perlman •  Tomomi Dyer

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