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一种适用于听诊的主动脉瓣上狭窄的三维缩放定律。

A 3D scaling law for supravalvular aortic stenosis suited for stethoscopic auscultations.

作者信息

Ali Ahmed M, Ghobashy Aly A, Sultan Abdelrahman A, Elkhodary Khalil I, El-Morsi Mohamed

机构信息

Department of Mechanical Engineering, The American University in Cairo, 11835 New Cairo, Egypt.

出版信息

Heliyon. 2024 Feb 15;10(4):e26190. doi: 10.1016/j.heliyon.2024.e26190. eCollection 2024 Feb 29.

DOI:10.1016/j.heliyon.2024.e26190
PMID:38390109
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10881376/
Abstract

In this study a frequency scaling law for 3D anatomically representative supravalvular aortic stenosis (SVAS) cases is proposed. The law is uncovered for stethoscopy's preferred auscultation range (70-120 Hz). LES simulations are performed on the CFD solver Fluent, leveraging Simulia's Living Heart Human Model (LHHM), modified to feature hourglass stenoses that range between 30 to 80 percent (mild to severe) in addition to the descending aorta. For physiological hemodynamic boundary conditions the Windkessel model is implemented via a UDF subroutine. The flow-generated acoustic signal is then extracted using the FW-H model and analyzed using FFT. A preferred receiver location that matches clinical practice is confirmed (right intercostal space) and a correlation between the degree of stenosis and a corresponding acoustic frequency is obtained. Five clinical auscultation signals are tested against the scaling law, with the findings interpreted in relation to the NHS classification of stenosis and to the assessments of experienced cardiologists. The scaling law is thus shown to succeed as a potential quantitative decision-support tool for clinicians, enabling them to reliably interpret stethoscopic auscultations for all degrees of stenosis, which is especially useful for moderate degrees of SVAS. Computational investigation of more complex stenotic cases would enhance the clinical relevance of this proposed scaling law, and will be explored in future research.

摘要

在本研究中,我们提出了一种针对三维解剖学代表性主动脉瓣上狭窄(SVAS)病例的频率缩放定律。该定律是在听诊的首选听诊范围(70 - 120赫兹)内发现的。使用CFD求解器Fluent进行大涡模拟(LES),利用达索系统的活体心脏人体模型(LHHM),除降主动脉外,该模型还进行了修改,以呈现范围在30%至80%(轻度至重度)之间的沙漏形狭窄。对于生理血液动力学边界条件,通过用户定义函数(UDF)子程序实现风箱模型。然后使用FW - H模型提取流动产生的声学信号,并使用快速傅里叶变换(FFT)进行分析。确认了一个与临床实践相匹配的首选接收器位置(右肋间空间),并获得了狭窄程度与相应声学频率之间的相关性。针对五个临床听诊信号测试了该缩放定律,并根据英国国家医疗服务体系(NHS)的狭窄分类以及经验丰富的心脏病专家的评估对结果进行了解释。因此,该缩放定律被证明可作为临床医生潜在的定量决策支持工具,使他们能够可靠地解释所有狭窄程度的听诊结果,这对于中度主动脉瓣上狭窄尤其有用。对更复杂狭窄病例的计算研究将增强该提议缩放定律的临床相关性,并将在未来研究中进行探索。

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