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Patient-Specific Image-Based Computational Fluid Dynamics Analysis of Abdominal Aorta and Branches

The complicated abdominal aorta and its branches are a portion of the circulatory system prone to developing atherosclerotic plaque and aneurysms. These disorders are closely connected to the changing blood flow environment that the area’s complicated architecture produces (between celiac artery and...

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Autores principales: Totorean, Alin-Florin, Totorean, Iuliana-Claudia, Bernad, Sandor Ianos, Ciocan, Tiberiu, Malita, Daniel Claudiu, Gaita, Dan, Bernad, Elena Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503755/
https://www.ncbi.nlm.nih.gov/pubmed/36143287
http://dx.doi.org/10.3390/jpm12091502
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author Totorean, Alin-Florin
Totorean, Iuliana-Claudia
Bernad, Sandor Ianos
Ciocan, Tiberiu
Malita, Daniel Claudiu
Gaita, Dan
Bernad, Elena Silvia
author_facet Totorean, Alin-Florin
Totorean, Iuliana-Claudia
Bernad, Sandor Ianos
Ciocan, Tiberiu
Malita, Daniel Claudiu
Gaita, Dan
Bernad, Elena Silvia
author_sort Totorean, Alin-Florin
collection PubMed
description The complicated abdominal aorta and its branches are a portion of the circulatory system prone to developing atherosclerotic plaque and aneurysms. These disorders are closely connected to the changing blood flow environment that the area’s complicated architecture produces (between celiac artery and iliac artery bifurcation); this phenomenon is widespread at arterial bifurcations. Based on computed tomography angiography (CTA) scans, this current work offers a numerical analysis of a patient-specific reconstruction of the abdominal aorta and its branches to identify and emphasize the most likely areas to develop atherosclerosis. The simulations were run following the heart cycle and under physiological settings. The wall shear stress (WSS), velocity field, and streamlines were examined. According to the findings, complex flow is primarily present at the location of arterial bifurcations, where abnormal flow patterns create recirculation zones with low and fluctuating WSS (<0.5 Pa), which are known to affect endothelial homeostasis and cause adverse vessel remodeling. The study provides a patient-specific hemodynamic analysis model, which couples in vivo CT imaging with in silico simulation under physiological circumstances. The study offers quantitative data on the range fluctuations of important hemodynamic parameters, such as WSS and recirculation region expansion, which are directly linked to the onset and progression of atherosclerosis. The findings could also help drug targeting at this vascular level by understanding blood flow patterns in the abdominal aorta and its branches.
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spelling pubmed-95037552022-09-24 Patient-Specific Image-Based Computational Fluid Dynamics Analysis of Abdominal Aorta and Branches Totorean, Alin-Florin Totorean, Iuliana-Claudia Bernad, Sandor Ianos Ciocan, Tiberiu Malita, Daniel Claudiu Gaita, Dan Bernad, Elena Silvia J Pers Med Article The complicated abdominal aorta and its branches are a portion of the circulatory system prone to developing atherosclerotic plaque and aneurysms. These disorders are closely connected to the changing blood flow environment that the area’s complicated architecture produces (between celiac artery and iliac artery bifurcation); this phenomenon is widespread at arterial bifurcations. Based on computed tomography angiography (CTA) scans, this current work offers a numerical analysis of a patient-specific reconstruction of the abdominal aorta and its branches to identify and emphasize the most likely areas to develop atherosclerosis. The simulations were run following the heart cycle and under physiological settings. The wall shear stress (WSS), velocity field, and streamlines were examined. According to the findings, complex flow is primarily present at the location of arterial bifurcations, where abnormal flow patterns create recirculation zones with low and fluctuating WSS (<0.5 Pa), which are known to affect endothelial homeostasis and cause adverse vessel remodeling. The study provides a patient-specific hemodynamic analysis model, which couples in vivo CT imaging with in silico simulation under physiological circumstances. The study offers quantitative data on the range fluctuations of important hemodynamic parameters, such as WSS and recirculation region expansion, which are directly linked to the onset and progression of atherosclerosis. The findings could also help drug targeting at this vascular level by understanding blood flow patterns in the abdominal aorta and its branches. MDPI 2022-09-14 /pmc/articles/PMC9503755/ /pubmed/36143287 http://dx.doi.org/10.3390/jpm12091502 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Totorean, Alin-Florin
Totorean, Iuliana-Claudia
Bernad, Sandor Ianos
Ciocan, Tiberiu
Malita, Daniel Claudiu
Gaita, Dan
Bernad, Elena Silvia
Patient-Specific Image-Based Computational Fluid Dynamics Analysis of Abdominal Aorta and Branches
title Patient-Specific Image-Based Computational Fluid Dynamics Analysis of Abdominal Aorta and Branches
title_full Patient-Specific Image-Based Computational Fluid Dynamics Analysis of Abdominal Aorta and Branches
title_fullStr Patient-Specific Image-Based Computational Fluid Dynamics Analysis of Abdominal Aorta and Branches
title_full_unstemmed Patient-Specific Image-Based Computational Fluid Dynamics Analysis of Abdominal Aorta and Branches
title_short Patient-Specific Image-Based Computational Fluid Dynamics Analysis of Abdominal Aorta and Branches
title_sort patient-specific image-based computational fluid dynamics analysis of abdominal aorta and branches
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503755/
https://www.ncbi.nlm.nih.gov/pubmed/36143287
http://dx.doi.org/10.3390/jpm12091502
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