Obuchowski Nancy A
Department of Biostatistics and Epidemiology/Wb4, Cleveland Clinic Foundation, 9500 Euclid Ave, Cleveland, OH 44195, USA.
Radiology. 2003 Oct;229(1):3-8. doi: 10.1148/radiol.2291010898.
Sensitivity and specificity are the basic measures of accuracy of a diagnostic test; however, they depend on the cut point used to define "positive" and "negative" test results. As the cut point shifts, sensitivity and specificity shift. The receiver operating characteristic (ROC) curve is a plot of the sensitivity of a test versus its false-positive rate for all possible cut points. The advantages of the ROC curve as a means of defining the accuracy of a test, construction of the ROC, and identification of the optimal cut point on the ROC curve are discussed. Several summary measures of the accuracy of a test, including the commonly used percentage of correct diagnoses and area under the ROC curve, are described and compared. Two examples of ROC curve application in radiologic research are presented.
敏感性和特异性是诊断试验准确性的基本衡量指标;然而,它们取决于用于定义“阳性”和“阴性”试验结果的临界点。随着临界点的变化,敏感性和特异性也会改变。受试者工作特征(ROC)曲线是针对所有可能的临界点绘制的试验敏感性与其假阳性率的关系图。本文讨论了ROC曲线作为定义试验准确性的一种方法、ROC曲线的构建以及在ROC曲线上确定最佳临界点的优势。文中描述并比较了几种试验准确性的汇总指标,包括常用的正确诊断百分比和ROC曲线下面积。还给出了ROC曲线在放射学研究中的两个应用实例。