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Ultrasound-Based Fluid-Structure Interaction Modeling of Abdominal Aortic Aneurysms Incorporating Pre-stress

Currently, the prediction of rupture risk in abdominal aortic aneurysms (AAAs) solely relies on maximum diameter. However, wall mechanics and hemodynamics have shown to provide better risk indicators. Patient-specific fluid-structure interaction (FSI) simulations based on a non-invasive image modali...

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Autores principales: Fonken, Judith H. C., Maas, Esther J., Nievergeld, Arjet H. M., van Sambeek, Marc R. H. M., van de Vosse, Frans N., Lopata, Richard G. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414835/
https://www.ncbi.nlm.nih.gov/pubmed/34483971
http://dx.doi.org/10.3389/fphys.2021.717593
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author Fonken, Judith H. C.
Maas, Esther J.
Nievergeld, Arjet H. M.
van Sambeek, Marc R. H. M.
van de Vosse, Frans N.
Lopata, Richard G. P.
author_facet Fonken, Judith H. C.
Maas, Esther J.
Nievergeld, Arjet H. M.
van Sambeek, Marc R. H. M.
van de Vosse, Frans N.
Lopata, Richard G. P.
author_sort Fonken, Judith H. C.
collection PubMed
description Currently, the prediction of rupture risk in abdominal aortic aneurysms (AAAs) solely relies on maximum diameter. However, wall mechanics and hemodynamics have shown to provide better risk indicators. Patient-specific fluid-structure interaction (FSI) simulations based on a non-invasive image modality are required to establish a patient-specific risk indicator. In this study, a robust framework to execute FSI simulations based on time-resolved three-dimensional ultrasound (3D+t US) data was obtained and employed on a data set of 30 AAA patients. Furthermore, the effect of including a pre-stress estimation (PSE) to obtain the stresses present in the measured geometry was evaluated. The established workflow uses the patient-specific 3D+t US-based segmentation and brachial blood pressure as input to generate meshes and boundary conditions for the FSI simulations. The 3D+t US-based FSI framework was successfully employed on an extensive set of AAA patient data. Omitting the pre-stress results in increased displacements, decreased wall stresses, and deviating time-averaged wall shear stress and oscillatory shear index patterns. These results underline the importance of incorporating pre-stress in FSI simulations. After validation, the presented framework provides an important tool for personalized modeling and longitudinal studies on AAA growth and rupture risk.
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spelling pubmed-84148352021-09-04 Ultrasound-Based Fluid-Structure Interaction Modeling of Abdominal Aortic Aneurysms Incorporating Pre-stress Fonken, Judith H. C. Maas, Esther J. Nievergeld, Arjet H. M. van Sambeek, Marc R. H. M. van de Vosse, Frans N. Lopata, Richard G. P. Front Physiol Physiology Currently, the prediction of rupture risk in abdominal aortic aneurysms (AAAs) solely relies on maximum diameter. However, wall mechanics and hemodynamics have shown to provide better risk indicators. Patient-specific fluid-structure interaction (FSI) simulations based on a non-invasive image modality are required to establish a patient-specific risk indicator. In this study, a robust framework to execute FSI simulations based on time-resolved three-dimensional ultrasound (3D+t US) data was obtained and employed on a data set of 30 AAA patients. Furthermore, the effect of including a pre-stress estimation (PSE) to obtain the stresses present in the measured geometry was evaluated. The established workflow uses the patient-specific 3D+t US-based segmentation and brachial blood pressure as input to generate meshes and boundary conditions for the FSI simulations. The 3D+t US-based FSI framework was successfully employed on an extensive set of AAA patient data. Omitting the pre-stress results in increased displacements, decreased wall stresses, and deviating time-averaged wall shear stress and oscillatory shear index patterns. These results underline the importance of incorporating pre-stress in FSI simulations. After validation, the presented framework provides an important tool for personalized modeling and longitudinal studies on AAA growth and rupture risk. Frontiers Media S.A. 2021-08-13 /pmc/articles/PMC8414835/ /pubmed/34483971 http://dx.doi.org/10.3389/fphys.2021.717593 Text en Copyright © 2021 Fonken, Maas, Nievergeld, van Sambeek, van de Vosse and Lopata. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Fonken, Judith H. C.
Maas, Esther J.
Nievergeld, Arjet H. M.
van Sambeek, Marc R. H. M.
van de Vosse, Frans N.
Lopata, Richard G. P.
Ultrasound-Based Fluid-Structure Interaction Modeling of Abdominal Aortic Aneurysms Incorporating Pre-stress
title Ultrasound-Based Fluid-Structure Interaction Modeling of Abdominal Aortic Aneurysms Incorporating Pre-stress
title_full Ultrasound-Based Fluid-Structure Interaction Modeling of Abdominal Aortic Aneurysms Incorporating Pre-stress
title_fullStr Ultrasound-Based Fluid-Structure Interaction Modeling of Abdominal Aortic Aneurysms Incorporating Pre-stress
title_full_unstemmed Ultrasound-Based Fluid-Structure Interaction Modeling of Abdominal Aortic Aneurysms Incorporating Pre-stress
title_short Ultrasound-Based Fluid-Structure Interaction Modeling of Abdominal Aortic Aneurysms Incorporating Pre-stress
title_sort ultrasound-based fluid-structure interaction modeling of abdominal aortic aneurysms incorporating pre-stress
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414835/
https://www.ncbi.nlm.nih.gov/pubmed/34483971
http://dx.doi.org/10.3389/fphys.2021.717593
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