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Porous Modelling of Cardiac Perfusion under Contraction to Demonstrate the Distribution of Therapeutic Nanoparticles

机译:收缩下心脏灌注的多孔模型,以证明治疗性纳米粒子的分布

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Delivery of therapy-loaded nanoparticles (NP) via inhalation is an innovative technology shown to successfully reduce heart failure in mice, improving the efficiency of drug delivery, and reducing adverse side effects. However, how exactly therapeutic NP are distributed and absorbed by heart tissue remains poorly understood, and accelerating this technology to humans is a major challenge. Working towards overcoming this problem we developed an open-source finite element model of myocardial perfusion based on porous media, where perfused tissue is treated as a sponge-like continuum material, driven by a continuum model of cardiac contraction to simulate perfusion patterns. We use our novel particle-tracking based method that remains numerically stable under high Peclet number flow to enable the study of NP distribution.
机译:通过吸入递送负载有治疗作用的纳米颗粒(NP)是一项创新技术,已证明可成功减少小鼠心力衰竭,提高药物递送效率并减少不良副作用。然而,如何精确地治疗性NP在心脏组织中的分布和吸收仍知之甚少,而加速这项技术对人类的应用是一个重大挑战。为了克服这个问题,我们开发了一种基于多孔介质的心肌灌注的开源有限元模型,在该模型中,被灌注的组织被视为海绵状连续体材料,由心脏收缩的连续体模型驱动以模拟灌注模式。我们使用新的基于粒子跟踪的方法,该方法在高Peclet数流下仍保持数值稳定,从而能够研究NP分布。

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