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接受者操作特征(ROC)曲线以及心电图负荷试验中诊断冠状动脉疾病的阈值水平定义。第二部分:ROC曲线在选择心电图缺血负荷试验标志物中的应用。

Receiver operating characteristic (ROC) curves and the definition of threshold levels to diagnose coronary artery disease on electrocardiographic stress testing. Part II: the use of ROC curves in the choice of electrocardiographic stress test markers of ischaemia.

作者信息

Marazìa Stefania, Barnabei Luca, De Caterina Raffaele

机构信息

Institute of Cardiology, G. d'Annunzio University, Chieti, Italy.

出版信息

J Cardiovasc Med (Hagerstown). 2008 Jan;9(1):22-31. doi: 10.2459/JCM.0b013e32813ef418.

Abstract

A common problem in diagnostic medicine, when performing a diagnostic test, is to obtain an accurate discrimination between 'normal' cases and cases with disease, owing to the overlapping distributions of these populations. In clinical practice, it is exceedingly rare that a chosen cut point will achieve perfect discrimination between normal cases and those with disease, and one has to select the best compromise between sensitivity and specificity by comparing the diagnostic performance of different tests or diagnostic criteria available. Receiver operating characteristic (or receiver operator characteristic, ROC) curves allow systematic and intuitively appealing descriptions of the diagnostic performance of a test and a comparison of the performance of different tests or diagnostic criteria. This review will analyse the basic principles underlying ROC curves and their specific application to the choice of optimal parameters on exercise electrocardiographic stress testing. Part II will be devoted to the comparative analysis of various parameters derived from exercise stress testing for the diagnosis of underlying coronary artery disease.

摘要

在诊断医学中,进行诊断测试时的一个常见问题是,由于这些人群的分布存在重叠,要准确区分“正常”病例和患病病例。在临床实践中,所选的切点能完美区分正常病例和患病病例的情况极为罕见,人们必须通过比较现有不同测试或诊断标准的诊断性能,在敏感性和特异性之间选择最佳折衷方案。受试者操作特征(或接收者操作特征,ROC)曲线能够对测试的诊断性能进行系统且直观的描述,并比较不同测试或诊断标准的性能。本综述将分析ROC曲线背后的基本原理及其在运动心电图负荷试验中选择最佳参数的具体应用。第二部分将致力于对运动负荷试验得出的各种参数进行比较分析,以诊断潜在的冠状动脉疾病。

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