A novel regression method for the analysis of multireader multicase‐free‐response receiver operating characteristics studies

In diagnostic radiology, the multireader multicase (MRMC) design and the free‐response receiver operating characteristics (FROC) method are often used in combination. The cross‐correlated data generated by the MRMC‐FROC study leads to difficulties in the corresponding analysis, and the need to inclu...

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Bibliographic Details
Published in:Statistics in medicine 2022-07, Vol.41 (16), p.3022-3038
Main Authors: Liu, Xueqing, Sun, Jiarui, Zhou, Xiao‐Hua
Format: Article
Language:English
Subjects:
free‐response
Lung cancer
multireader analysis
pseudo‐likelihood
regression analysis
ROC
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Summary:In diagnostic radiology, the multireader multicase (MRMC) design and the free‐response receiver operating characteristics (FROC) method are often used in combination. The cross‐correlated data generated by the MRMC‐FROC study leads to difficulties in the corresponding analysis, and the need to include covariates in the model further complicates the subsequent analysis. In this paper, we propose a regression approach based on three new measures with good interpretability. The correlation structure of the original test results is taken directly into account in the estimation procedure. The proposed method also allows the inclusion of continuous or discrete covariates. Consistent and asymptotically normal estimators are derived for the new measures. Simulation studies are conducted to evaluate the performance of the proposed approach. The simulation results show that the regression approach performs well under a wide range of scenarios. We also apply the proposed regression approach to a diagnostic study of computer‐aided diagnosis in lung cancer.
ISSN:0277-6715
1097-0258
DOI:10.1002/sim.9400