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Prospective validation of a quantitative method for differentiating ischemic versus nonischemic cardiomyopathy by technetium‐99m sestamibi myocardial perfusion single‐photon emission computed tomography

机译:99 99m sestamibi心肌灌注单光子发射计算机断层扫描技术用于区分缺血性和非缺血性心肌病的定量方法的前瞻性验证

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摘要

Background: Myocardial perfusion single‐photon emission computed tomography (SPECT) permits assessment of stress perfusion and resting left ventricular (LV) function. Quantitative analysis of perfusion patterns among patients with LV dysfunction offers an opportunity for developing criteria to differentiate ischemic from nonischemic cardiomyopathy. Hypothesis: Quantitative assessment of SPECT may allow differentiation between ischemic and nonischemic cardiomyopathy. Methods: We evaluated 144 patients with LV ejection fraction ≤40%, divided into 63 patients with nonischemic and 81 with ischemic cardiomyopathy. Mean relative myocardial counts were obtained for regions drawn over defect and normal zones on rest and stress polar perfusion maps. Results: Multivariate logistic regression analysis of significant univariate SPECT predictors of ischemic cardiomyopathy revealed that the stress defect severity ratio (SDSR) was the best predictor of ischemic cardiomyopathy (p < 0.0001). By receiver operator characteristic (ROC) curve analysis, an SDSR of ≤ 45% optimized prediction of ischemic cardiomyopathy (sensitivity 81%, specificity 96%). An SDSR of ≤ 45% occurred in 65 of 81 (80%) patients with ischemic cardiomyopathy, but in only 3 of the 63 (4%) patients with nonischemic cardiomyopathy (p < 0.0001). Applying the ≤45% SDSR threshold to a prospective group of 89 patients yielded a somewhat lower sensitivity (60%), but retained high specificity (91%) for identifying ischemic cardiomyopathy (p = NS vs. retrospective group). Conclusions: Presence of a severe and extensive stress perfusion defect is a hallmark of ischemic cardiomyopathy. By contrast, a mild stress perfusion defect (SDSR of > 45%) is commonly present among patients with ischemic and non‐ischemic cardiomyopathy. An SDSR of ≤45% is a reproducible specific marker for identifying the presence of ischemic cardiomyopathy.
机译:背景:心肌灌注单光子发射计算机断层扫描(SPECT)可以评估压力灌注和静息左心室(LV)功能。左室功能不全患者的灌注模式的定量分析为制定区分缺血性和非缺血性心肌病的标准提供了机会。假设:SPECT的定量评估可以区分缺血性和非缺血性心肌病。方法:我们评估了144例左室射血分数≤40%的患者,分为63例非缺血性和81例缺血性心肌病。在静止和应力极灌注图上的缺损区域和正常区域上绘制的区域获得了平均相对心肌计数。结果:对缺血性心肌病的重要单因素SPECT预测因子进行多因素logistic回归分析显示,应激缺陷严重度比率(SDSR)是缺血性心肌病的最佳预测因子(p <0.0001)。通过接受者操作员特征(ROC)曲线分析,SDSR≤45%优化了缺血性心肌病的预测(敏感性为81%,特异性为96%)。 81例缺血性心肌病患者中有65例的SDSR≤45%,但63例非缺血性心肌病患者中只有3例(4%)(p <0.0001)。将≤45%SDSR阈值应用于89名患者的前瞻性组,其敏感性稍低(60%),但保留了高特异性(91%)来识别缺血性心肌病(p = NS vs.回顾性组)。结论:严重而广泛的压力灌注缺陷的存在是缺血性心肌病的标志。相比之下,在缺血性和非缺血性心肌病患者中通常存在轻度的压力灌注缺陷(SDSR> 45%)。 ≤45%的SDSR是可重复的特异性标志物,用于鉴定缺血性心肌病的存在。

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