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A model for arterial adaptation combining microstructural collagen remodeling and 3D tissue growth

机译:结合微结构胶原重塑和3D组织生长的动脉适应模型

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摘要

Long-term adaptation of soft tissues is realized through growth and remodeling (G&R). Mathematical models are powerful tools in testing hypotheses on G&R and supporting the design and interpretation of experiments. Most theoretical G&R studies concentrate on description of either growth or remodeling. Our model combines concepts of remodeling of collagen recruitment stretch and orientation suggested by other authors with a novel model of general 3D growth. We translate a growth-induced volume change into a change in shape due to the interaction of the growing tissue with its environment. Our G&R model is implemented in a finite element package in 3D, but applied to two rotationally symmetric cases, i.e., the adaptation towards the homeostatic state of the human aorta and the development of a fusiform aneurysm. Starting from a guessed non-homeostatic state, the model is able to reproduce a homeostatic state of an artery with realistic parameters. We investigate the sensitivity of this state to settings of initial parameters. In addition, we simulate G&R of a fusiform aneurysm, initiated by a localized degradation of the matrix of the healthy artery. The aneurysm stabilizes in size soon after the degradation stops.
机译:软组织的长期适应通过生长和重构(G&R)实现。数学模型是测试G&R假设并支持实验设计和解释的强大工具。大多数理论上的G&R研究都集中于对生长或重塑的描述。我们的模型结合了其他作者提出的胶原蛋白募集伸展性和方向的重塑概念以及一般3D生长的新颖模型。由于生长中的组织与其周围环境的相互作用,我们将生长引起的体积变化转化为形状变化。我们的G&R模型是在3D有限元程序包中实现的,但适用于两种旋转对称的情况,即适应人类主动脉稳态的状态和梭状动脉瘤的发展。从猜测的非稳态状态开始,该模型能够以实际参数再现动脉的稳态状态。我们调查此状态对初始参数设置的敏感性。此外,我们模拟了梭状动脉瘤的G&R,它由健康动脉基质的局部降解引起。降解停止后不久,动脉瘤的大小就会稳定下来。

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