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Improving the Efficiency of Abdominal Aortic Aneurysm Wall Stress Computations

An abdominal aortic aneurysm is a pathological dilation of the abdominal aorta, which carries a high mortality rate if ruptured. The most commonly used surrogate marker of rupture risk is the maximal transverse diameter of the aneurysm. More recent studies suggest that wall stress from models of pat...

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Autores principales: Zelaya, Jaime E., Goenezen, Sevan, Dargon, Phong T., Azarbal, Amir-Farzin, Rugonyi, Sandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4090134/
https://www.ncbi.nlm.nih.gov/pubmed/25007052
http://dx.doi.org/10.1371/journal.pone.0101353
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author Zelaya, Jaime E.
Goenezen, Sevan
Dargon, Phong T.
Azarbal, Amir-Farzin
Rugonyi, Sandra
author_facet Zelaya, Jaime E.
Goenezen, Sevan
Dargon, Phong T.
Azarbal, Amir-Farzin
Rugonyi, Sandra
author_sort Zelaya, Jaime E.
collection PubMed
description An abdominal aortic aneurysm is a pathological dilation of the abdominal aorta, which carries a high mortality rate if ruptured. The most commonly used surrogate marker of rupture risk is the maximal transverse diameter of the aneurysm. More recent studies suggest that wall stress from models of patient-specific aneurysm geometries extracted, for instance, from computed tomography images may be a more accurate predictor of rupture risk and an important factor in AAA size progression. However, quantification of wall stress is typically computationally intensive and time-consuming, mainly due to the nonlinear mechanical behavior of the abdominal aortic aneurysm walls. These difficulties have limited the potential of computational models in clinical practice. To facilitate computation of wall stresses, we propose to use a linear approach that ensures equilibrium of wall stresses in the aneurysms. This proposed linear model approach is easy to implement and eliminates the burden of nonlinear computations. To assess the accuracy of our proposed approach to compute wall stresses, results from idealized and patient-specific model simulations were compared to those obtained using conventional approaches and to those of a hypothetical, reference abdominal aortic aneurysm model. For the reference model, wall mechanical properties and the initial unloaded and unstressed configuration were assumed to be known, and the resulting wall stresses were used as reference for comparison. Our proposed linear approach accurately approximates wall stresses for varying model geometries and wall material properties. Our findings suggest that the proposed linear approach could be used as an effective, efficient, easy-to-use clinical tool to estimate patient-specific wall stresses.
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spelling pubmed-40901342014-07-14 Improving the Efficiency of Abdominal Aortic Aneurysm Wall Stress Computations Zelaya, Jaime E. Goenezen, Sevan Dargon, Phong T. Azarbal, Amir-Farzin Rugonyi, Sandra PLoS One Research Article An abdominal aortic aneurysm is a pathological dilation of the abdominal aorta, which carries a high mortality rate if ruptured. The most commonly used surrogate marker of rupture risk is the maximal transverse diameter of the aneurysm. More recent studies suggest that wall stress from models of patient-specific aneurysm geometries extracted, for instance, from computed tomography images may be a more accurate predictor of rupture risk and an important factor in AAA size progression. However, quantification of wall stress is typically computationally intensive and time-consuming, mainly due to the nonlinear mechanical behavior of the abdominal aortic aneurysm walls. These difficulties have limited the potential of computational models in clinical practice. To facilitate computation of wall stresses, we propose to use a linear approach that ensures equilibrium of wall stresses in the aneurysms. This proposed linear model approach is easy to implement and eliminates the burden of nonlinear computations. To assess the accuracy of our proposed approach to compute wall stresses, results from idealized and patient-specific model simulations were compared to those obtained using conventional approaches and to those of a hypothetical, reference abdominal aortic aneurysm model. For the reference model, wall mechanical properties and the initial unloaded and unstressed configuration were assumed to be known, and the resulting wall stresses were used as reference for comparison. Our proposed linear approach accurately approximates wall stresses for varying model geometries and wall material properties. Our findings suggest that the proposed linear approach could be used as an effective, efficient, easy-to-use clinical tool to estimate patient-specific wall stresses. Public Library of Science 2014-07-09 /pmc/articles/PMC4090134/ /pubmed/25007052 http://dx.doi.org/10.1371/journal.pone.0101353 Text en © 2014 Zelaya et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zelaya, Jaime E.
Goenezen, Sevan
Dargon, Phong T.
Azarbal, Amir-Farzin
Rugonyi, Sandra
Improving the Efficiency of Abdominal Aortic Aneurysm Wall Stress Computations
title Improving the Efficiency of Abdominal Aortic Aneurysm Wall Stress Computations
title_full Improving the Efficiency of Abdominal Aortic Aneurysm Wall Stress Computations
title_fullStr Improving the Efficiency of Abdominal Aortic Aneurysm Wall Stress Computations
title_full_unstemmed Improving the Efficiency of Abdominal Aortic Aneurysm Wall Stress Computations
title_short Improving the Efficiency of Abdominal Aortic Aneurysm Wall Stress Computations
title_sort improving the efficiency of abdominal aortic aneurysm wall stress computations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4090134/
https://www.ncbi.nlm.nih.gov/pubmed/25007052
http://dx.doi.org/10.1371/journal.pone.0101353
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