A computational model that predicts reverse growth in response to mechanical unloading.

A computational model that predicts reverse growth in response to mechanical unloading.
复制标题

DOI:
10.1007/s10237-014-0598-0
复制
发表时间:
2015-04
影响因子:
3.5
通讯作者:
Kuhl, E.
Kuhl, E.
中科院分区:
工程技术2区
文献类型:
--
作者:
Lee, L. C.;Genet, M.;Acevedo-Bolton, G.;Ordovas, K.;Guccione, J. M.;Kuhl, E.

文献摘要

参考文献

被引文献

相似文献

心室生长被广泛认为是心脏疾病不良进展的重要特征,而逆转心室生长(或逆转重塑)通常被认为是对临床干预的有利反应。近年来,人们提出了许多理论模型来模拟心室生长的过程,但很少有人对心室生长的反向过程进行建模。基于体积应变驱动的有限增长的框架与弹性肌纤维拉伸的稳态平衡范围,我们在这里提出了一个可逆的增长模型,能够描述心室的增长和逆转。我们使用这个模型来构建一个半解析解的基础上,一个理想化的圆柱形管模型,以及数值解的基础上,一个截断的椭球体模型和一个人的左心室模型,从磁共振图像重建。我们表明,我们的模型是能够预测的舒张末期压力-容积的关系,在心室生长和反向生长的实验和临床观察的关键功能。我们还表明,在圆柱形管模型中的差异生长的结果所产生的残余应力场是类似的,利用相同的几何形状的其他不相同的模型。
Ventricular growth is widely considered to be an important feature in the adverse progression of heart diseases, whereas reverse ventricular growth (or reverse remodeling) is often considered to be a favorable response to clinical intervention. In recent years, a number of theoretical models have been proposed to model the process of ventricular growth while little has been done to model its reverse. Based on the framework of volumetric strain-driven finite growth with a homeostatic equilibrium range for the elastic myofiber stretch, we propose here a reversible growth model capable of describing both ventricular growth and its reversal. We used this model to construct a semi-analytical solution based on an idealized cylindrical tube model, as well as numerical solutions based on a truncated ellipsoidal model and a human left ventricular model that was reconstructed from magnetic resonance images. We show that our model is able to predict key features in the end-diastolic pressure–volume relationship that were observed experimentally and clinically during ventricular growth and reverse growth. We also show that the residual stress fields generated as a result of differential growth in the cylindrical tube model are similar to those in other nonidentical models utilizing the same geometry.
DOI: 10.1007/s10237-002-0021-0
发表时间: 2003-04-01
影响因子: 3.5
作者:
Omens, J. H.;McCulloch, A. D.;Criscione, J. C.
通讯作者: Criscione, J. C.
DOI: 10.1002/mrm.21363
发表时间: 2008-04-01
影响因子: 3.3
作者:
Rutz, Andrea K.;Ryf, Salome;Kozerke, Sebastian
通讯作者: Kozerke, Sebastian
DOI: 10.1016/j.mechrescom.2011.11.004
发表时间: 2012-06-01
影响因子: 2.4
作者:
Kerckhoffs RC;Omens J;McCulloch AD
通讯作者: McCulloch AD
DOI: 10.1016/j.ijcard.2013.01.003
发表时间: 2013-10-03
影响因子: 3.5
作者:
Lee, Lik Chuan;Wall, Samuel T.;Klepach, Doron;Ge, Liang;Zhang, Zhihong;Lee, Randall J.;Hinson, Andy;Gorman, Joseph H., III;Gorman, Robert C.;Guccione, Julius M.
通讯作者: Guccione, Julius M.
DOI: 10.1067/mtc.2001.112632
发表时间: 2001-05-01
影响因子: 6
作者:
Madigan, JD;Barbone, A;Burkhoff, D
通讯作者: Burkhoff, D