Suppr超能文献

斑点追踪超声心动图能够基于模型识别左心室心肌的区域僵硬度指标。

Speckle-Tracking Echocardiography Enables Model-Based Identification of Regional Stiffness Indices in the Left Ventricular Myocardium.

作者信息

Torres William M, Spinale Francis G, Shazly Tarek

机构信息

College of Engineering and Computing, University of South Carolina, Columbia, SC, USA.

Cardiovascular Translational Research Center, University of South Carolina School of Medicine and the Columbia Veteran Affairs Healthcare Center, Columbia, SC, USA.

出版信息

Cardiovasc Eng Technol. 2020 Apr;11(2):176-187. doi: 10.1007/s13239-020-00456-0. Epub 2020 Jan 29.

Abstract

INTRODUCTION

Left ventricular (LV) remodeling is a critical process underlying heart failure (HF) development and progression. While LV global longitudinal strain determined by speckle-tracking echocardiography (STE) provides a promising basis to monitor LV remodeling, reported strain measures are limited by the masking of regional differences and a dependency on hemodynamic load.

OBJECTIVES

Our goal is to extend two-dimensional STE to enhance regional mechanical assessment of the LV myocardium-providing clinically accessible and load-independent response variables that directly reflect the LV remodeling process.

METHODS

An inverse finite element analysis was employed with a pattern search optimization algorithm to identify regional indices of LV myocardial stiffness based on STE-derived regional LV longitudinal strains and wall geometries. Our framework was applied in two distinct porcine models of early LV remodeling, specifically following myocardial infarction and onset of LV pressure overload.

RESULTS

Regional and temporal changes in computed indices of LV myocardial stiffness over diastolic pressures correlate with conventional indices of LV remodeling and show enhanced early sensitivity as compared to LV global longitudinal strain.

CONCLUSION

Our findings suggest that STE-integrated computational modeling can be used to track indices of LV myocardial stiffness and, thus, is a potential tool for HF diagnosis and prognosis.

摘要

引言

左心室(LV)重塑是心力衰竭(HF)发生和发展的关键过程。虽然斑点追踪超声心动图(STE)测定的左心室整体纵向应变提供了监测左心室重塑的有前景的基础,但报告的应变测量受区域差异掩盖和对血流动力学负荷的依赖性限制。

目的

我们的目标是扩展二维STE,以增强对左心室心肌的区域力学评估,提供直接反映左心室重塑过程的临床可及且与负荷无关的反应变量。

方法

采用逆有限元分析和模式搜索优化算法,基于STE衍生的左心室区域纵向应变和壁几何形状识别左心室心肌僵硬度的区域指标。我们的框架应用于两种不同的早期左心室重塑猪模型,特别是在心肌梗死后和左心室压力过载发作后。

结果

计算得到的左心室心肌僵硬度指标在舒张压上的区域和时间变化与左心室重塑的传统指标相关,并且与左心室整体纵向应变相比显示出更高的早期敏感性。

结论

我们的研究结果表明,STE集成的计算模型可用于追踪左心室心肌僵硬度指标,因此是HF诊断和预后的潜在工具。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验