Computational fluid dynamic modelling to determine the hemodynamic effects of implanting a transcatheter mitral valve within the left ventricle
Computational fluid dynamic modelling to determine the hemodynamic effects of implanting a transcatheter mitral valve within the left ventricle
复制标题
计算流体动力学模型确定左心室内植入经导管二尖瓣的血流动力学效应
DOI:
10.1007/s10554-017-1276-y
复制
发表时间:
2017
期刊:
影响因子:
--
通讯作者:
De Vecchi A
中科院分区:
文献类型:
--
作者:
De Vecchi A
An 85-year-old man presented with increasing dyspnea. Echocardiography demonstrated severe aortic stenosis, severe mitral regurgitation (MR) and a left ventricular ejection fraction of 32%. He subsequently underwent transcatheter aortic valve replacement (TAVR) with a SAPIEN 3 valve (Edwards Lifesciences, Irvine, CA, USA). Given the residual severe MR a transcatheter mitral valve replacement (TMVR) was considered. This was associated with concerns as to introducing left ventricular outflow tract (LVOT) obstruction in the context of an existing TAVR [1]. Multiphase ECG-gated cardiac CT was therefore performed for geometric (Fig. 1) and computational flow evaluation. Two computational fluid-dynamic models were created. The first described the pre-procedural haemodynamic state whilst the second, the simulated haemodynamic state with proposed TMVR in situ (Fig. 2, Mov. 1). To drive the flow simulation the Doppler echocardiographic data for flow velocity assessment and endocardial wall motion tracking from CT dataset were incorporated into the model. The haemodynamic simulations suggested a< 6% reduction of the LVOT area following TMVR with a peak LVOT pressure gradient of 6.8 mmHg and a mean pressure gradient of 2.95 mmHg. Given these findings, TMVR with a Medtronic Intrepid valve (Medtronic Inc., Minneapolis, MN, USA) was performed. At 6-months the patient reported an improvement in symptoms with the echocardiogram showing good agreement with computational modelling. The post-procedural CT scan confirmed an absence of LVOT obstruction (9% LVOT area reduction)(Fig. 3). Although advanced imaging techniques can provide a quantitative description of the current pathophysiological state of a patient [1, 2]. they are unable to predict the ventricular response to TMVR. The current report demonstrates the utility of integrating imaging data with personalized Computational Fluid Dynamics models to simulate ventricular hemodynamics into a new clinical workstream. It is anticipated that as applications for cardiac CT expand, a further harmonisation with basic science with occur to enable solutions and personalised patient specific care to otherwise complex clinical problems.
DOI:
10.4244/eijy15m11_10
发表时间:
2016
期刊:
EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology
影响因子:
--
作者:
P. Thériault;M. Dorfmeister;D. Mylotte;A. Andalib;M. Spaziano;P. Blanke;G. Martucci;R. Lange;J. Leipsic;L. Bilodeau;N. Piazza
通讯作者:
N. Piazza
影响因子:
6.2
作者:
Theriault-Lauzier, Pascal;Mylotte, Darren;Piazza, Nicolo
通讯作者:
Piazza, Nicolo