医学
灌注
心脏病学
内科学
血流
心内膜
强度(物理)
对比度(视觉)
血流动力学
冠状动脉循环
多普勒超声心动图
血压
舒张期
物理
量子力学
人工智能
计算机科学
作者
Philippe Garot,Olivier Pascal,Marc A. Simon,Saleh el Amine,S Benacerraf,Stéphane Champagne,Nicole Benaiem,Jean‐Xavier Mazoit,Luc Hittinger,Jérôme Garot,Jean‐Luc Dubois‐Randé,Pascal Guéret,Emmanuel Teíger
摘要
Objectives: We sought to characterize regional myocardial perfusion and contraction in a closed-chest swine model during and after coronary blood flow reduction using myocardial contrast and Doppler tissue echocardiography. Methods and Results: Regional myocardial perfusion was assessed by myocardial contrast echocardiography using the corrected contrast peak intensity (baseline-subtracted contrast peak intensity), the peak intensity ratio (contrast peak intensity in ischemic/control wall), and a transmural video-intensity gradient. Regional peak systolic velocities and strain rate were measured using M-mode color Doppler tissue echocardiography. In 12 pigs, coronary blood flow reduction resulted in a significant decrease in peak intensity ratio and in peak systolic velocities in the subendocardium. At baseline and during ischemia, corrected contrast peak intensity and peak systolic velocities in the subendocardium, video-intensity gradient, and strain rate were closely related (r = 0.88 and 0.93, respectively). After reperfusion, in contrast to peak systolic strain rate that remained altered, the peak intensity ratio and video-intensity gradient recovered nearly baseline values. Conclusion: The combination of myocardial contrast and Doppler tissue echocardiography may distinguish between ischemic and postischemic myocardial wall dysfunction during severe coronary blood flow reduction. (J Am Soc Echocardiogr 2003; 16:1-8.)
科研通智能强力驱动
Strongly Powered by AbleSci AI