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支架植入后再狭窄过程的数学建模。

Mathematical modelling of the restenosis process after stent implantation.

机构信息

Applied Mechanics and Bioengineering Group (AMB), Aragón Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain.

Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Spain.

出版信息

J R Soc Interface. 2019 Aug 30;16(157):20190313. doi: 10.1098/rsif.2019.0313. Epub 2019 Aug 14.

Abstract

The stenting procedure has evolved to become a highly successful technique for the clinical treatment of advanced atherosclerotic lesions in arteries. However, the development of in-stent restenosis remains a key problem. In this work, a novel two-dimensional continuum mathematical model is proposed to describe the complex restenosis process following the insertion of a stent into a coronary artery. The biological species considered to play a key role in restenosis development are growth factors, matrix metalloproteinases, extracellular matrix, smooth muscle cells and endothelial cells. Diffusion-reaction equations are used for modelling the mass balance between species in the arterial wall. Experimental data from the literature have been used in order to estimate model parameters. Moreover, a sensitivity analysis has been performed to study the impact of varying the parameters of the model on the evolution of the biological species. The results demonstrate that this computational model qualitatively captures the key characteristics of the lesion growth and the healing process within an artery subjected to non-physiological mechanical forces. Our results suggest that the arterial wall response is driven by the damage area, smooth muscle cell proliferation and the collagen turnover among other factors.

摘要

支架置入术已经发展成为治疗动脉中晚期动脉粥样硬化病变的一种非常成功的技术。然而,支架内再狭窄的发展仍然是一个关键问题。在这项工作中,提出了一种新的二维连续数学模型来描述在冠状动脉中插入支架后的复杂再狭窄过程。在再狭窄发展中起关键作用的生物物质被认为是生长因子、基质金属蛋白酶、细胞外基质、平滑肌细胞和内皮细胞。扩散反应方程用于模拟动脉壁中物种之间的质量平衡。已经使用文献中的实验数据来估计模型参数。此外,还进行了敏感性分析,以研究模型参数的变化对生物物种演化的影响。结果表明,该计算模型定性地捕捉了在受到非生理机械力作用下的动脉中病变生长和愈合过程的关键特征。我们的结果表明,动脉壁的反应是由损伤面积、平滑肌细胞增殖和胶原周转率等因素驱动的。

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