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二维超声心动图对左心室局部收缩异常的定量检测。犬模型中心肌增厚与变薄及心内膜运动的比较。

Quantitative detection of regional left ventricular contraction abnormalities by 2-dimensional echocardiography. Comparison of myocardial thickening and thinning and endocardial motion in a canine model.

作者信息

O'Boyle J E, Parisi A F, Nieminen M, Kloner R A, Khuri S

出版信息

Am J Cardiol. 1983 Jun;51(10):1732-8. doi: 10.1016/0002-9149(83)90220-5.

Abstract

Myocardial infarction (MI) was produced in 27 dogs by ligation of the left anterior descending coronary artery. Two-dimensional (2-D) echocardiograms were performed through the closed chest before and serially after coronary ligation, in both the acute and healing stages of MI. Two-dimensional echocardiographic studies performed before the animals were killed were analyzed for left ventricular (LV) contraction defects by 2 algorithms--1 involving systolic myocardial thickening and thinning and the other by determining the extent of endocardial motion to derive cavity area shrinkage. Using the thickening algorithm, myocardial dysfunction was detected in 93% of the animals with MI; with the area shrinkage method, contraction abnormalities were detected in 96% of the animals with MI. When the heart was divided from base to apex into 3 short-axis sections, the thickening algorithm showed a trend toward better identification of normal regions than the area shrinkage algorithm. However, in predicting the circumferential extent of MI, the thickening-thinning method of analysis showed no advantage over the endocardial motion method (r = 0.77, standard error of the estimate = 0.16 versus r = 0.76, standard error of the estimate [SEE] = 0.16; p = not significant [NS]). These observations support the concept that either algorithm can be used effectively to detect the presence and quantify the circumferential extent of MI.

摘要

通过结扎左冠状动脉前降支,在27只犬身上诱发心肌梗死(MI)。在MI的急性期和愈合期,于冠状动脉结扎前及结扎后连续通过闭合胸腔进行二维(2-D)超声心动图检查。对处死动物前进行的二维超声心动图研究,采用两种算法分析左心室(LV)收缩缺陷——一种涉及收缩期心肌增厚和变薄,另一种通过确定心内膜运动范围以得出腔面积缩小情况。使用增厚算法,在93%的MI动物中检测到心肌功能障碍;采用面积缩小法,在96%的MI动物中检测到收缩异常。当心脏从心底到心尖分为3个短轴切面时,增厚算法显示出比面积缩小算法更能准确识别正常区域的趋势。然而,在预测MI的圆周范围时,增厚-变薄分析法与心内膜运动法相比并无优势(r = 0.77,估计标准误差 = 0.16,而r = 0.76,估计标准误差[SEE] = 0.16;p = 无显著性差异[NS])。这些观察结果支持这样的概念,即两种算法均可有效用于检测MI的存在并量化其圆周范围。

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