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Modeling atherosclerotic plaque growth: A case report based on a 3D geometry of left coronary arterial tree from computed tomography

机译:模拟动脉粥样硬化斑块生长:基于计算机断层扫描的左冠状动脉树的3D几何结构的病例报告

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In this study, we present an innovative model for plaque growth utilizing a 3-Dimensional (3D) left coronary arterial tree reconstructed from computed tomographic (CT) data. The proposed model takes into consideration not only the effect of the local hemodynamic factors but also major biological processes such as the low density lipoprotein (LDL) and high density lipoprotein (HDL) transport, the macrophages recruitment and the foam cells formation. The endothelial membrane is considered semi-permeable and endothelial shear stress dependent, while its permeability is modeled using the Kedem-Katscalsky equations. Patient specific biological data are used for the accurate modeling of plaque formation process. The finite element method (FEM) is employed for the solution of the system of partial differential equations. The results of the simulation are compared to the plaque progression in a follow-up CT examination performed three years after the initial investigation. The results show that the proposed model can be used to predict regions prone for plaque development of progression.
机译:在这项研究中,我们提出了一种利用3维(3D)左冠状动脉树从斑块生长的创新模型,该树是根据计算机断层扫描(CT)数据重建的。提出的模型不仅考虑了局部血液动力学因素的影响,还考虑了主要的生物学过程,例如低密度脂蛋白(LDL)和高密度脂蛋白(HDL)的运输,巨噬细胞募集和泡沫细胞的形成。内皮膜被认为是半渗透性的,并且与内皮剪切应力有关,而其渗透性是使用Kedem-Katscalsky方程建模的。患者特定的生物学数据用于斑块形成过程的精确建模。偏微分方程组的求解采用了有限元方法(FEM)。在初步检查后的三年进行的后续CT检查中,将模拟结果与斑块进展进行了比较。结果表明,所提出的模型可用于预测易于发生斑块发展的区域。

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