Metz Charles E
Department of Radiology, University of Chicago, Chicago, IL 60637, USA.
J Am Coll Radiol. 2006 Jun;3(6):413-22. doi: 10.1016/j.jacr.2006.02.021.
Receiver operating characteristic (ROC) analysis provides the most comprehensive description of diagnostic accuracy available to date, because it estimates and reports all of the combinations of sensitivity and specificity that a diagnostic test is able to provide. After sketching the 6 levels at which diagnostic efficacy can be assessed, this paper explains the conceptual foundations of conventional ROC analysis, describes a variety of indices that can be used to summarize ROC curves, and describes several forms of generalized ROC analysis that address situations in which more than 2 decision alternatives are available. Key issues that arise in ROC curve fitting and statistical testing are addressed in an intuitive way to provide a basis for judging the validity of ROC studies reported in the literature. A list of sources for free ROC software is provided. Receiver operating characteristic methodology has reached a level of maturity at which it can be recommended broadly as the approach of choice for radiologic imaging system comparisons.
受试者操作特征(ROC)分析提供了迄今为止对诊断准确性最全面的描述,因为它估计并报告了诊断测试所能提供的敏感性和特异性的所有组合。在概述了可评估诊断效能的6个水平后,本文解释了传统ROC分析的概念基础,描述了多种可用于总结ROC曲线的指标,并介绍了几种广义ROC分析形式,这些形式适用于存在两个以上决策选项的情况。以直观的方式阐述了ROC曲线拟合和统计检验中出现的关键问题,为判断文献中报道的ROC研究的有效性提供依据。提供了免费ROC软件的来源列表。受试者操作特征方法已经成熟到可以广泛推荐作为放射成像系统比较的首选方法。