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利用二维超声心动图的模式识别,根据左心室血栓的全身栓塞病史对其进行分类。

Classification of left ventricular thrombi by their history of systemic embolization using pattern recognition of two-dimensional echocardiograms.

作者信息

Lloret R L, Cortada X, Bradford J, Metz M N, Kinney E L

出版信息

Am Heart J. 1985 Oct;110(4):761-5. doi: 10.1016/0002-8703(85)90454-5.

DOI:10.1016/0002-8703(85)90454-5
PMID:4050647
Abstract

Although one can diagnose left ventricular (LV) thrombi by two-dimensional echocardiography (2DE), the factors associated with peripheral embolization, given a 2DE with LV thrombi, have not been well delineated. Therefore we looked at 2DE and clinical variables that included texture features in the 2DE of 38 patients whose 2DE had LV thrombi and questioned these patients to see if clinical embolization had occurred in the 8.9 +/- 6.1 month (+/- SD) average follow-up period. Eight patients, four with acute myocardial infarction (AMI) and four with dilated LV and decreased LV systolic wall motion, had clinically apparent leg or brain emboli, whereas the remaining patients did not. Emboli occurred within a week of obtaining the 2DE in question. The variables considered were the age of the patient, the type of heart disease present, warfarin administration, exercise tolerance, standard M-mode measurements, LV dyssynergy by 2DE, clot size and mobility, and gray scale statistics which include run length, Sobel edge points followed by 50% gradient thresholding, gray level second-order statistics, offset 1 and gray level difference statistics, offset 1. The values of the variables were then entered into an expert system (Expert Ease) in order to achieve classification of patients into emboli versus no emboli groups, while using a minimal number of variables. The only variables that were needed included run length, long runs emphasis, gray level difference statistics (entropy, contrast, mean, and angular second moment), gray level second-order statistics (contrast), and warfarin status. When probability statistics were applied to this schema, its accuracy was predicted to be at least 96%.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

虽然二维超声心动图(2DE)能够诊断左心室(LV)血栓,但对于存在LV血栓的二维超声心动图检查结果而言,与外周栓塞相关的因素尚未得到明确界定。因此,我们研究了38例二维超声心动图检查发现LV血栓患者的二维超声心动图及临床变量,这些变量包括二维超声心动图的纹理特征,并对这些患者进行随访询问,观察在平均随访期8.9±6.1个月(±标准差)内是否发生临床栓塞。8例患者发生了临床明显的腿部或脑部栓塞,其中4例患有急性心肌梗死(AMI),4例患有扩张型LV且LV收缩期壁运动减弱,其余患者未发生栓塞。栓塞发生在获取相关二维超声心动图检查结果后的一周内。所考虑的变量包括患者年龄、存在的心脏病类型、华法林使用情况、运动耐量、标准M型测量、二维超声心动图显示的LV运动失调、血栓大小和活动度,以及灰度统计数据,包括游程长度、经50%梯度阈值处理后的索贝尔边缘点、灰度二阶统计量、偏移量1和灰度差统计量、偏移量1。然后将这些变量的值输入专家系统(Expert Ease),以便在使用最少数量变量的情况下,将患者分为栓塞组和非栓塞组。唯一需要的变量包括游程长度、长游程强调、灰度差统计量(熵、对比度、均值和角二阶矩)、灰度二阶统计量(对比度)和华法林使用情况。当将概率统计应用于此模式时,预计其准确率至少为96%。(摘要截短至250字)

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