Can Computational Simulation Quantitatively Determine Mitral Valve Abnormalities?
Can Computational Simulation Quantitatively Determine Mitral Valve Abnormalities?
复制标题
计算模拟可以定量确定二尖瓣异常吗?
DOI:
10.1016/j.jcmg.2014.09.011
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发表时间:
2015
期刊:
影响因子:
--
通讯作者:
Kim,Hyunggun
中科院分区:
文献类型:
--
作者:
Rim,Yonghoon;Chandran,KrishnanB;Laing,SusanT;Kee,Patrick;McPherson,DavidD;Kim,Hyunggun
Various pathologies of the mitral valve (MV) apparatus include excessive annular dilation, chordal elongation, chordal rupture, and leaflet tissue enlargement, which lead to mitral regurgitation (MR)(1). The recommended treatment for these MV pathologies accompanied by severe MR is MV reconstruction, which has been shown to improve event-free survival (2). Echocardiography is the primary imaging modality to provide MV pathological information and the proper timing for consideration of MV repair (3). In a recent issue, we demonstrated 4 cases of computational evaluation of MV function (4). Here we extend our patient-specific computational MV evaluation studies to quantitatively determine the biomechanical and physiological characteristics of MV function involving severe annular dilation. Five patients with normal MV and 5 patients with severe annular dilation accompanied by MR were recruited, and 3-dimensional (3D) transesophageal echocardiography (TEE) was performed. Patient-specific 3D TEE data were converted into computational MV models followed by dynamic simulations to evaluate MV function (5). Stress and contact pressure distributions across the mitral leaflets were determined at peak systole. A ratio of the coapted leaflet area to the entire posterior leaflet area was calculated and compared between the normal and pathological MV groups. The normal MVs clearly showed 3D cyclic deformation of the saddle-shaped annular morphology across the cardiac cycle. The pathological MVs displaying severe MR revealed larger annular sizes and less elliptical annular morphology compared with the normal MVs. Representative stress distributions across the mitral leaflets at peak systole are demonstrated in
影响因子:
3.1
作者:
Randolph P. Martin
通讯作者:
Randolph P. Martin
DOI:
10.1053/j.semtcvs.2007.04.003
发表时间:
2007-06-01
影响因子:
2.5
作者:
Filsoufi, Farzan;Carpentier, Alain
通讯作者:
Carpentier, Alain
影响因子:
2.4
作者:
Rim Y;McPherson DD;Chandran KB;Kim H
通讯作者:
Kim H