Development of discordant likelihood metrics for use in evaluation of 'double reviewer' performance in blinded independent central review (BICR) RECIST imaging studies

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