Computational Assessment of Hemodynamics in Asymmetric-type Lesion of Idealized Coronary Stenoses

Fuente: arXiv
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Hauptverfasser: Oyejide, Ayodele, Abodunrin, Oluwatosin, Ige, Ebenezer, Awonusi, Adetokunbo
Format: Preprint
Veröffentlicht: 2025
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author Oyejide, Ayodele
Abodunrin, Oluwatosin
Ige, Ebenezer
Awonusi, Adetokunbo
author_facet Oyejide, Ayodele
Abodunrin, Oluwatosin
Ige, Ebenezer
Awonusi, Adetokunbo
contents Coronary artery stenosis, characterized by the narrowing of the lumen, significantly affects blood flow and contributes to the progression of cardiovascular diseases. This study investigates the hemodynamics of coronary artery models with varying stenosis configurations, all maintaining an 80% lumen reduction, to determine how differences in morphology influence flow behavior and mechanical stresses. We employed computational fluid dynamics to analyze five idealized geometries with (10% & 70%), (20% & 60%), (30% & 50%), (40% & 40%), and (0% & 80%) stenosis configurations. Through physiological pulsatile flow conditions, we evaluated key hemodynamic pattern including velocity profiles, wall shear stress, and pressure distribution. Our results reveal that despite the same degree of lumen reduction, each stenosis configuration produced distinct flow patterns and hemodynamic profiles. Asymmetric configurations, such as 10% & 70% and 20% & 60%, exhibited pronounced flow disruptions and higher wall shear stress at the stenosis throats, while symmetric configurations, such as 40% & 40%, demonstrated more uniform flow and reduced vortex. Our findings challenge the practice of generalizing results across stenosis configurations without accounting for morphological variations, which is prevalent in many CFD studies using idealized models. This study emphasizes the importance of considering stenosis-specific morphology in CFD analyses and clinical interpretations to enhance the accuracy of diagnostic tools, improve personalized treatment planning, and guide the design of medical devices such as stents.
format Preprint
id arxiv_https___arxiv_org_abs_2501_19246
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Computational Assessment of Hemodynamics in Asymmetric-type Lesion of Idealized Coronary Stenoses
Oyejide, Ayodele
Abodunrin, Oluwatosin
Ige, Ebenezer
Awonusi, Adetokunbo
Fluid Dynamics
Coronary artery stenosis, characterized by the narrowing of the lumen, significantly affects blood flow and contributes to the progression of cardiovascular diseases. This study investigates the hemodynamics of coronary artery models with varying stenosis configurations, all maintaining an 80% lumen reduction, to determine how differences in morphology influence flow behavior and mechanical stresses. We employed computational fluid dynamics to analyze five idealized geometries with (10% & 70%), (20% & 60%), (30% & 50%), (40% & 40%), and (0% & 80%) stenosis configurations. Through physiological pulsatile flow conditions, we evaluated key hemodynamic pattern including velocity profiles, wall shear stress, and pressure distribution. Our results reveal that despite the same degree of lumen reduction, each stenosis configuration produced distinct flow patterns and hemodynamic profiles. Asymmetric configurations, such as 10% & 70% and 20% & 60%, exhibited pronounced flow disruptions and higher wall shear stress at the stenosis throats, while symmetric configurations, such as 40% & 40%, demonstrated more uniform flow and reduced vortex. Our findings challenge the practice of generalizing results across stenosis configurations without accounting for morphological variations, which is prevalent in many CFD studies using idealized models. This study emphasizes the importance of considering stenosis-specific morphology in CFD analyses and clinical interpretations to enhance the accuracy of diagnostic tools, improve personalized treatment planning, and guide the design of medical devices such as stents.
title Computational Assessment of Hemodynamics in Asymmetric-type Lesion of Idealized Coronary Stenoses
topic Fluid Dynamics
url https://arxiv.org/abs/2501.19246