Department of Theoretical and Mathematical Physics, Laboratory of Multi-Scale Mathematical Modeling, Ural Federal University, Ekaterinburg 620000, Russian Federation.
Ural State Medical University, Ekaterinburg 620028, Russian Federation.
Philos Trans A Math Phys Eng Sci. 2022 Feb 21;380(2217):20200303. doi: 10.1098/rsta.2020.0303. Epub 2022 Jan 3.
Modelling of patient-specific hemodynamics for a clinical case of severe coronary artery disease with the bifurcation stenosis was carried out with allowance for standard angiographic data obtained before and after successfully performed myocardial revascularization by stenting of two arteries. Based on a non-Newtonian fluid model and an original algorithm for fluid dynamics computation operated with a limited amount of initial data, key characteristics of blood flow were determined to analyse the features of coronary disease and the consequences of its treatment. The results of hemodynamic modelling near bifurcation sites are presented with an emphasis on physical, physiological and clinical phenomena to demonstrate the feasibility of the proposed approach. The main limitations and ways to minimize them are the subjects of discussion as well. This article is part of the theme issue 'Transport phenomena in complex systems (part 2)'.
针对一例严重冠状动脉疾病伴分叉狭窄的临床病例,在考虑成功进行经皮冠状动脉介入治疗(支架置入术)前后获得的标准血管造影数据的基础上,对患者的特定血流动力学进行了建模。基于非牛顿流体模型和一种原始的计算流体动力学算法,该算法可利用有限数量的初始数据进行操作,确定了血流的关键特征,以分析冠状动脉疾病的特征及其治疗后果。本文重点介绍了分叉部位附近血流动力学建模的结果,强调了物理、生理和临床现象,以证明所提出方法的可行性。讨论的主题还包括主要限制及其最小化方法。本文是“复杂系统中的输运现象(第 2 部分)”主题特刊的一部分。