Artificial neural network for diagnosis of acute pulmonary embolism: effect of case and observer selection.
Artificial neural network for diagnosis of acute pulmonary embolism: effect of case and observer selection.
复制标题
人工神经网络诊断急性肺栓塞：病例和观察者选择的影响。
DOI：
10.1148/radiology.194.3.7862997
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发表时间：
1995
期刊：
影响因子：
19.7
通讯作者：
Coleman,RE
中科院分区：
文献类型：
--
作者：
Tourassi,GD;Floyd,CE;Sostman,HD;Coleman,RE
比较人工神经网络（ANN）的诊断性能与医生在疑似肺栓塞（PE）患者中的诊断性能。MATERIALS AND METHODSANN被开发用于预测PE，通过使用通气-灌注肺扫描和胸片的结果。首先，对来自肺栓塞诊断前瞻性研究（PIOPED）研究的1，064例病例进行了网络评估，这些病例具有明确的血管造影结果。根据病例难度提供了其诊断性能的上限和下限。然后，该网络进行了测试，104例疑似肺动脉造影是必不可少的诊断肺栓塞。将ANN的诊断性能与（a）为本研究需要阅读扫描的两名核医学医生和（B）最初阅读扫描的核医学医生的诊断性能进行比较。的情况下，观察员的选择对性能的影响进行了addressed. PROTETSThe人工神经网络优于医生时，他们使用的PIOPED标准进行分类评估，它执行以及两个研究医生的基础上，他们的概率assessments.CONCLUSIONThe人工神经网络可以检测或排除PE在一个高度选定的一组困难的情况下，具有一致性相当于非常有经验的医生。
PURPOSETo compare the diagnostic performance of an artificial neural network (ANN) with that of physicians in patients with suspected pulmonary embolism (PE).MATERIALS AND METHODSAn ANN was developed to predict PE by using findings from ventilation-perfusion lung scans and chest radiographs. First, the network was evaluated on 1,064 cases from the Prospective Investigation of Pulmonary Embolism Diagnosis (PIOPED) study that had a definitive angiographic outcome. An upper and lower bound of its diagnostic performance was provided depending on case difficulty. Then, the network was tested on 104 patients with suspected PE in whom pulmonary angiography was essential for diagnosis. The diagnostic performance of the ANN was compared with that of (a) two nuclear medicine physicians who read the scans for the needs of this study and (b) the nuclear medicine physicians who originally read the scans. The effects of case and observer selection on performance were addressed.RESULTSThe ANN outperformed the physicians when they used the PIOPED criteria for categoric assessment, and it performed as well as the two study physicians on the basis of their probability assessments.CONCLUSIONThe ANN can detect or exclude PE in a highly selected group of difficult cases with a consistency equivalent to that of very experienced physicians.