Early identification and treatment of high-risk plaques before they rupture, and precipitate adverse events constitute a major challenge in cardiology today. Computational simulations are a time- and cost-effective way to study the performance, and to optimize a system. The main objective of this work is to optimize the flow of a novel atraumatic local drug delivery catheter for the treatment of coronary atherosclerosis. The mixing and spreading effectiveness of a drug fluid was analyzed utilizing computational fluid dynamics (CFD) in a coronary artery model. The optimum infusion flow of the nanoparticle-carrying drug fluid was found by maximizing the drug volume fraction and minimizing drug velocity at the artery wall, while maintaining acceptable wall shear stress (WSS). Drug velocities between 15 m/s and 20 m/s are optimum for local drug delivery. The resulting parameters from this study will be used to fabricate customized prototypes for future in-vivo experiments.

中文翻译：

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新型无创导管在冠状动脉粥样斑块中局部药物输送的计算优化。

在高风险斑块破裂之前，尽早发现和治疗，并引起不良事件，是当今心脏病学的主要挑战。计算仿真是研究性能和优化系统的一种省时，省钱的方法。这项工作的主要目的是优化新型无创局部药物输送导管的流量，以治疗冠状动脉粥样硬化。利用计算流体动力学（CFD）在冠状动脉模型中分析了药液的混合和散布效果。通过最大化药物体积分数和最小化动脉壁处的药物速度，同时保持可接受的壁切应力（WSS），可以找到载有纳米颗粒的药物流体的最佳输注流量。15 m / s和20 m / s之间的药物速度最适合局部药物输送。这项研究得出的参数将用于制造定制的原型，用于将来的体内实验。