Modelling of hemodynamics in bifurcation lesions of coronary arteries before and after myocardial revascularization.

Autor:	Starodumov IO; 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., Sokolov SY; Institute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620000, Russian Federation.; Ural State Medical University, Ekaterinburg 620028, Russian Federation., Alexandrov DV; Department of Theoretical and Mathematical Physics, Laboratory of Multi-Scale Mathematical Modeling, Ural Federal University, Ekaterinburg 620000, Russian Federation., Zubarev AY; Institute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620000, Russian Federation., Bessonov IS; Tyumen Cardiology Research Center, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk 625026, Russian Federation., Chestukhin VV; Sklifosovsky Research Institute of Emergency Care, Moscow 129090, Russian Federation., Blyakhman FA; Institute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620000, Russian Federation.; Ural State Medical University, Ekaterinburg 620028, Russian Federation.
Jazyk:	angličtina
Zdroj:	Philosophical transactions. Series A, Mathematical, physical, and engineering sciences [Philos Trans A Math Phys Eng Sci] 2022 Feb 21; Vol. 380 (2217), pp. 20200303. Date of Electronic Publication: 2022 Jan 03.
DOI:	10.1098/rsta.2020.0303
Abstrakt:	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)'.
Databáze:	MEDLINE
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