Barnabei Luca, Marazìa Stefania, De Caterina Raffaele
Institute of Cardiology, G. d'Annunzio University, Ospedale San Camillo de Lellis, Via Forlanini 50, Chieti, Italy.
J Cardiovasc Med (Hagerstown). 2007 Nov;8(11):873-81. doi: 10.2459/JCM.0b013e3280126615.
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 (ECG) stress testing. Part I will focus on theoretical description and analysis along with reviewing the common problems related to the diagnosis of myocardial ischaemia by means of exercise ECG stress testing. Part II will be devoted to applying ROC curves to available diagnostic criteria through the analysis of ECG stress test parameters.
在诊断医学中,进行诊断测试时常见的一个问题是,由于这些人群分布存在重叠,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。受试者工作特征(或接收者操作特征,ROC)曲线能够系统且直观地描述测试的诊断性能,并比较不同测试或诊断标准的性能。本综述将分析ROC曲线的基本原理及其在运动心电图(ECG)负荷试验中选择最佳参数的具体应用。第一部分将专注于理论描述与分析,同时回顾通过运动心电图负荷试验诊断心肌缺血相关的常见问题。第二部分将致力于通过分析心电图负荷试验参数,将ROC曲线应用于现有诊断标准。