Receiver operating characteristic (ROC) curves: review of methods with applications in diagnostic medicine 论文

2018Physics in Medicine and Biology引用 539
AI in cancer detectionReliability and Agreement in MeasurementBreast Lesions and Carcinomas

详细信息

发表期刊/会议
Physics in Medicine and Biology
发表日期
2018-03-07
发表年份
2018

关键词

AI in cancer detectionReliability and Agreement in MeasurementBreast Lesions and Carcinomas

摘要

Receiver operating characteristic (ROC) analysis is a tool used to describe the discrimination accuracy of a diagnostic test or prediction model. While sensitivity and specificity are the basic metrics of accuracy, they have many limitations when characterizing test accuracy, particularly when comparing the accuracies of competing tests. In this article we review the basic study design features of ROC studies, illustrate sample size calculations, present statistical methods for measuring and comparing accuracy, and highlight commonly used ROC software. We include descriptions of multi-reader ROC study design and analysis, address frequently seen problems of verification and location bias, discuss clustered data, and provide strategies for testing endpoints in ROC studies. The methods are illustrated with a study of transmission ultrasound for diagnosing breast lesions.

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