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A Versatile Hybrid Agent-Based, Particle and Partial Differential Equations Method to Analyze Vascular Adaptation

机译:基于多功能混合主体的粒子和偏微分方程方法来分析血管适应

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Failure of peripheral endovascular interventions occurs at the intersection of vascular biology, biomechanics, and clinical decision making. It is our hypothesis that most of the endovascular treatments share the same driving mechanisms during post-surgical follow-up, and accordingly, a deep understanding of them is mandatory in order to improve the current surgical outcome. This work presents a versatile model of vascular adaptation post vein graft bypass intervention to treat arterial occlusions. The goal is to improve the computational models developed so far by effectively modeling the cell-cell and cell-membrane interactions that are recognized to be pivotal elements for the re-organization of the graft's structure. A numerical method is here designed to combine the best features of an Agent-Based Model and a Partial Differential Equations model in order to get as close as possible to the physiological reality while keeping the implementation both simple and general.
机译:周围血管内干预的失败发生在血管生物学,生物力学和临床决策制定的交汇处。我们的假设是,大多数血管内治疗在术后随访期间具有相同的驱动机制,因此,为了改善当前的手术结果,必须对它们进行深入了解。这项工作提出了一种通用的血管适应性模型,用于静脉搭桥术后介入治疗动脉阻塞。目的是通过有效地建模被认为是移植物结构重组的关键要素的细胞-细胞和细胞-膜相互作用来改善迄今为止开发的计算模型。这里设计一种数值方法,以结合基于智能体的模型和偏微分方程模型的最佳功能,以便在保持实现简单和通用的同时,尽可能地接近生理现实。

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