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Proceedings Paper

Development of discordant likelihood metrics for use in evaluation of 'double reviewer' performance in blinded independent central review (BICR) RECIST imaging studies
Author(s): J. Michael O'Connor; Manish Sharma; Anitha Singareddy; Annette Schmid
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Paper Abstract

Purpose: Perform a retrospective review of a number studies (n=20) for the purpose of proposing basic likelihood metrics for evaluation of discordance between two reviewers performing RECIST (Response Evaluation Criteria in Solid Tumors) assessments in a Blinded Independent Central Review (BICR)

Methods: Retrospective data analysis using R programming scripts to determine discordance subsets of interest and analyze these datasets for both time point discordance and case discordance.

Results: We present a basic time point discordant ratio and a cases discordance ratio based on a range of aggregated time points per case for RECIST datasets.

Conclusions: We propose basic ratios that that might be useful to improve reviewer performance monitoring models

Paper Details

Date Published: 10 March 2017
PDF: 10 pages
Proc. SPIE 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, 1013609 (10 March 2017); doi: 10.1117/12.2255753
Show Author Affiliations
J. Michael O'Connor, PAREXEL International Corp. (United States)
Manish Sharma, PAREXEL International Corp. (India)
Anitha Singareddy, PAREXEL International Corp. (India)
Annette Schmid, Takeda Boston (United States)

Published in SPIE Proceedings Vol. 10136:
Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment
Matthew A. Kupinski; Robert M. Nishikawa, Editor(s)

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