Kaul S, Chesler D A, Okada R D, Boucher C A
Department of Internal Medicine, University of Virginia School of Medicine, Charlottesville 22908.
Am Heart J. 1987 Nov;114(5):1129-37. doi: 10.1016/0002-8703(87)90188-8.
Although computer-aided analysis of planar thallium images has been previously reported to be superior to visual analysis, a segment-by-segment comparison of all thallium variables (presence of initial defect, presence of redistribution, and presence of abnormal lung:heart thallium ratio) has not been performed with the use of both methods. In the present study, such a comparison was performed to determine which thallium variable(s) are superior, when the computer method is used. In addition, both methods were compared to determine their correlations with the angiographic extent of coronary artery disease (no disease, or one-vessel disease vs multivessel, or left main disease) and the occurrence of future events (cardiac-related death or nonfatal myocardial infarction). Computer-aided analysis was superior to visual analysis (an average of three independent blinded observers) for detection of coronary disease because: (1) it was more specific for detecting initial defects despite having the same sensitivity (89.6% vs 91.0%, p = NS) and (2) it was more sensitive for detecting redistribution in the territory of a stenosed vessel (68% vs 46%, p less than 0.001). However, absolute myocardial clearance of thallium had very poor specificity compared to visually assessed redistribution. Only when segmental clearance was considered abnormal on a relative basis (if it was slower by 98% or more than the fastest clearing segment in the heart) did abnormal clearance achieve the same specificity (99%) and a better sensitivity (60% vs 48%, p less than 0.01) than visual analysis.(ABSTRACT TRUNCATED AT 250 WORDS)
尽管此前已有报道称,计算机辅助分析平面铊图像优于视觉分析,但尚未使用这两种方法对所有铊变量(初始缺损的存在、再分布的存在以及异常肺:心铊比值的存在)进行逐段比较。在本研究中,进行了这样的比较,以确定在使用计算机方法时哪些铊变量更具优势。此外,对这两种方法进行了比较,以确定它们与冠状动脉疾病的血管造影范围(无疾病、单支血管疾病与多支血管疾病或左主干疾病)以及未来事件(心脏相关死亡或非致命性心肌梗死)的发生之间的相关性。计算机辅助分析在检测冠状动脉疾病方面优于视觉分析(由三名独立的盲法观察者平均评估),原因如下:(1)尽管灵敏度相同(89.6%对91.0%,p = 无显著差异),但在检测初始缺损方面更具特异性;(2)在检测狭窄血管区域的再分布方面更灵敏(68%对46%,p小于0.001)。然而,与视觉评估的再分布相比,铊的绝对心肌清除率特异性很差。只有当节段清除率在相对基础上被认为异常时(如果它比心脏中清除最快的节段慢98%或更多),异常清除率才能达到与视觉分析相同的特异性(99%)和更好的灵敏度(60%对48%,p小于0.01)。(摘要截短于250字)