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使用基于图像的双心室建模框架对右心室辅助装置对肺动脉高压影响的计算机模拟评估。

In-silico assessment of the effects of right ventricular assist device on pulmonary arterial hypertension using an image based biventricular modeling framework.

作者信息

Shavik Sheikh Mohammad, Zhong Liang, Zhao Xiaodan, Lee Lik Chuan

机构信息

Department of mechanical engineering, Michigan State University, East Lansing, Michigan, USA.

National Heart Research Institute Singapore, National Heart Center Singapore, Singapore.

出版信息

Mech Res Commun. 2019 Apr;97:101-111. doi: 10.1016/j.mechrescom.2019.04.008. Epub 2019 Apr 15.

Abstract

Pulmonary arterial hypertension (PAH) is a heart disease that is characterized by an abnormally high pressure in the pulmonary artery (PA). While right ventricular assist device (RVAD) has been considered recently as a treatment option for the end-stage PAH patients, its effects on biventricular mechanics are, however, largely unknown. To address this issue, we developed an image-based modeling framework consisting of a biventricular finite element (FE) model that is coupled to a lumped model describing the pulmonary and systemic circulations in a closed-loop system. The biventricular geometry was reconstructed from the magnetic resonance images of two PAH patients showing different degree of RV remodeling and a normal subject. The framework was calibrated to match patient-specific measurements of the left ventricular (LV) and RV volume and pressure waveforms. An RVAD model was incorporated into the calibrated framework and simulations were performed with different pump speeds. Results showed that RVAD unloads the RV, improves cardiac output and increases septum curvature, which are more pronounced in the PAH patient with severe RV remodeling. These improvements, however, are also accompanied by an adverse increase in the PA pressure. These results suggest that the RVAD implantation may need to be optimized depending on disease progression.

摘要

肺动脉高压(PAH)是一种心脏病,其特征是肺动脉(PA)压力异常升高。虽然右心室辅助装置(RVAD)最近被认为是终末期PAH患者的一种治疗选择,但其对双心室力学的影响在很大程度上尚不清楚。为了解决这个问题,我们开发了一个基于图像的建模框架,该框架由一个双心室有限元(FE)模型组成,该模型与一个描述闭环系统中肺循环和体循环的集总模型相耦合。双心室几何结构是根据两名显示不同程度右心室重塑的PAH患者和一名正常受试者的磁共振图像重建的。对该框架进行校准,以匹配左心室(LV)和右心室容积及压力波形患者特异性测量值。将RVAD模型纳入校准后的框架,并以不同的泵速进行模拟。结果表明,RVAD可减轻右心室负荷,改善心输出量并增加室间隔曲率,这在右心室重塑严重的PAH患者中更为明显。然而,这些改善也伴随着肺动脉压力的不利增加。这些结果表明,可能需要根据疾病进展对RVAD植入进行优化。

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