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基于全容积实时三维超声心动图半自动分析的心脏功能综合评估及心肌梗死检测

Comprehensive evaluation of cardiac function and detection of myocardial infarction based on a semi-automated analysis using full-volume real time three-dimensional echocardiography.

作者信息

Streiff Cole, Zhu Meihua, Panosian Jill, Sahn David J, Ashraf Muhammad

机构信息

Pediatric Cardiology, Oregon Health & Science University, Portland, Oregon.

出版信息

Echocardiography. 2015 Feb;32(2):332-8. doi: 10.1111/echo.12643. Epub 2014 Jun 13.

Abstract

OBJECTIVE

Quantitative left ventricular mass (LVM) as well as regional strain values may be obtained from full-volume real time 3D echocardiography data via semi-automated feature tracking and represent indices of heart function, both in health and disease.

METHODS

Fresh adult porcine and ovine hearts were passively pumped to simulate normal cardiac motion at stroke volumes (SVs) varying from 30 to 70 mL. A 3V-D Matrix probe, interfaced with a GE Vivid E9 ultrasound system, was used to image each heart at baseline conditions and after simulated myocardial infarction (MI). The 4D LV quantification function of EchoPAC PC was used to quantify the LVM and longitudinal and circumferential strain (LS & CS) of LV segments at each SV prior and subsequent to simulated MI. LVM was validated by volumetric displacement, while LS and CS values were compared to sonomicrometry-based strain.

RESULTS

Linear regression analyses show excellent correlations in LVM, LS, and CS between the 4D echo and volumetric/sonomicrometric displacement with R(2) values of 0.99, 0.88, and 0.67, respectively. Bland-Altman analyses for all variables validate the compatibility of both methods. It was also determined that EchoPAC PC was able to detect a decrease in LS and CS in the relevant segments between pre- and post-MI at all SVs (P < 0.05).

CONCLUSIONS

EchoPAC PC is a robust utility with the ability to accurately obtain quantitative LVM, LS, and CS values from 4D echo volumes and has the potential to improve the yield of clinical studies in cases of suspected MI.

摘要

目的

通过半自动特征跟踪可从全容积实时三维超声心动图数据中获取左心室质量(LVM)定量值以及区域应变值,这些值可代表健康和疾病状态下的心脏功能指标。

方法

对新鲜的成年猪和羊心脏进行被动泵血,以模拟每搏量(SV)在30至70 mL之间变化时的正常心脏运动。使用与GE Vivid E9超声系统连接的3V-D矩阵探头,在基线条件下以及模拟心肌梗死(MI)后对每个心脏进行成像。在模拟MI前后,使用EchoPAC PC的4D左心室定量功能对每个SV时左心室节段的LVM、纵向应变和圆周应变(LS和CS)进行定量。通过容积位移验证LVM,同时将LS和CS值与基于超声测微计的应变进行比较。

结果

线性回归分析显示,4D超声心动图与容积/超声测微计位移之间在LVM、LS和CS方面具有极好的相关性,R²值分别为0.99、0.88和0.67。对所有变量进行的布兰德-奥特曼分析验证了两种方法的兼容性。还确定EchoPAC PC能够检测到在所有SV下MI前后相关节段中LS和CS的降低(P<0.05)。

结论

EchoPAC PC是一种强大的工具,能够从4D超声心动图容积中准确获取定量的LVM、LS和CS值,并且在疑似MI的病例中具有提高临床研究效率的潜力。

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