基于图像的左心室心肌僵硬度估计

IF 1.7 4区 医学 Q4 BIOPHYSICS Journal of Biomechanical Engineering-Transactions of the Asme Pub Date : 2025-01-01 DOI:10.1115/1.4066525
Tarek Shazly, Logan Eads, Mia Kazel, Francesco K Yigamawano, Juliana Guest, Traci L Jones, Ahmed A Alshareef, Kurt G Barringhaus, Francis G Spinale
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引用次数: 0

摘要

左心室心肌僵硬度升高是重塑介导的关键变化,是心力衰竭发生和发展的基础。尽管量化这种决定性变化具有潜在的诊断价值,但目前缺乏可随时应用于临床实践的辅助技术。为了满足这一尚未满足的临床需求,我们提出了一种简单的方案,用于处理常规超声心动图成像数据,以提供左心室心肌僵硬度指数,并为射血分数保留的高危心衰患者提供方案规范。我们在临床前和临床环境中演示了我们的方案,具有代表性的研究结果表明了所获得估计值的灵敏度和转化可行性。
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Image-Based Estimation of Left Ventricular Myocardial Stiffness.

Elevation in left ventricular (LV) myocardial stiffness is a key remodeling-mediated change that underlies the development and progression of heart failure (HF). Despite the potential diagnostic value of quantifying this deterministic change, there is a lack of enabling techniques that can be readily incorporated into current clinical practice. To address this unmet clinical need, we propose a simple protocol for processing routine echocardiographic imaging data to provide an index of left ventricular myocardial stiffness, with protocol specification for patients at risk for heart failure with preserved ejection fraction. We demonstrate our protocol in both a preclinical and clinical setting, with representative findings that suggest sensitivity and translational feasibility of obtained estimates.

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来源期刊
CiteScore
3.40
自引率
5.90%
发文量
169
审稿时长
4-8 weeks
期刊介绍: Artificial Organs and Prostheses; Bioinstrumentation and Measurements; Bioheat Transfer; Biomaterials; Biomechanics; Bioprocess Engineering; Cellular Mechanics; Design and Control of Biological Systems; Physiological Systems.
期刊最新文献
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