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Numerical simulations of patient-specific models with multiple plaques in human peripheral artery: a fluid-structure interaction analysis

Atherosclerotic plaque in the femoral is the leading cause of peripheral artery disease (PAD), the worse consequence of which may lead to ulceration and gangrene of the feet. Numerical studies on fluid-structure interactions (FSI) of atherosclerotic femoral arteries enable quantitative analysis of b...

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Autores principales: Wang, Danyang, Serracino-Inglott, Ferdinand, Feng, Jiling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892515/
https://www.ncbi.nlm.nih.gov/pubmed/32915332
http://dx.doi.org/10.1007/s10237-020-01381-w
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author Wang, Danyang
Serracino-Inglott, Ferdinand
Feng, Jiling
author_facet Wang, Danyang
Serracino-Inglott, Ferdinand
Feng, Jiling
author_sort Wang, Danyang
collection PubMed
description Atherosclerotic plaque in the femoral is the leading cause of peripheral artery disease (PAD), the worse consequence of which may lead to ulceration and gangrene of the feet. Numerical studies on fluid-structure interactions (FSI) of atherosclerotic femoral arteries enable quantitative analysis of biomechanical features in arteries. This study aims to investigate the hemodynamic performance and its interaction with femoral arterial wall based on the patient-specific model with multiple plaques (calcified and lipid plaques). Three types of models, calcification-only, lipid-only and calcification-lipid models, are established. Hyperelastic material coefficients of the human femoral arteries obtained from experimental studies are employed for all simulations. Oscillation of WSS is observed in the healthy downstream region in the lipid-only model. The pressure around the plaques in the two-plaque model is lower than that in the corresponding one-plaque models due to the reduction of blood flow domain, which consequently diminishes the loading forces on both plaques. Therefore, we found that stress acting on the plaques in the two-plaque model is lower than that in the corresponding one-plaque models. This finding implies that the lipid plaque, accompanied by the calcified plaque around, might reduce its risk of rupture due to the reduced the stress acting on it.
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spelling pubmed-78925152021-03-03 Numerical simulations of patient-specific models with multiple plaques in human peripheral artery: a fluid-structure interaction analysis Wang, Danyang Serracino-Inglott, Ferdinand Feng, Jiling Biomech Model Mechanobiol Original Paper Atherosclerotic plaque in the femoral is the leading cause of peripheral artery disease (PAD), the worse consequence of which may lead to ulceration and gangrene of the feet. Numerical studies on fluid-structure interactions (FSI) of atherosclerotic femoral arteries enable quantitative analysis of biomechanical features in arteries. This study aims to investigate the hemodynamic performance and its interaction with femoral arterial wall based on the patient-specific model with multiple plaques (calcified and lipid plaques). Three types of models, calcification-only, lipid-only and calcification-lipid models, are established. Hyperelastic material coefficients of the human femoral arteries obtained from experimental studies are employed for all simulations. Oscillation of WSS is observed in the healthy downstream region in the lipid-only model. The pressure around the plaques in the two-plaque model is lower than that in the corresponding one-plaque models due to the reduction of blood flow domain, which consequently diminishes the loading forces on both plaques. Therefore, we found that stress acting on the plaques in the two-plaque model is lower than that in the corresponding one-plaque models. This finding implies that the lipid plaque, accompanied by the calcified plaque around, might reduce its risk of rupture due to the reduced the stress acting on it. Springer Berlin Heidelberg 2020-09-11 2021 /pmc/articles/PMC7892515/ /pubmed/32915332 http://dx.doi.org/10.1007/s10237-020-01381-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Paper
Wang, Danyang
Serracino-Inglott, Ferdinand
Feng, Jiling
Numerical simulations of patient-specific models with multiple plaques in human peripheral artery: a fluid-structure interaction analysis
title Numerical simulations of patient-specific models with multiple plaques in human peripheral artery: a fluid-structure interaction analysis
title_full Numerical simulations of patient-specific models with multiple plaques in human peripheral artery: a fluid-structure interaction analysis
title_fullStr Numerical simulations of patient-specific models with multiple plaques in human peripheral artery: a fluid-structure interaction analysis
title_full_unstemmed Numerical simulations of patient-specific models with multiple plaques in human peripheral artery: a fluid-structure interaction analysis
title_short Numerical simulations of patient-specific models with multiple plaques in human peripheral artery: a fluid-structure interaction analysis
title_sort numerical simulations of patient-specific models with multiple plaques in human peripheral artery: a fluid-structure interaction analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892515/
https://www.ncbi.nlm.nih.gov/pubmed/32915332
http://dx.doi.org/10.1007/s10237-020-01381-w
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