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Impacts of morphology parameters on the risk of rupture in intracranial aneurysms: statistical and computational analyses

The hemodynamic analysis of the blood stream inside the cerebral aneurysms reveals the risk of the aneurysm rupture. In addition, the high risk region prone to rupture would be determined by the hemodynamic analysis of the blood. In present article, computational fluid dynamic is used for the invest...

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Autores principales: Wang, Yujing, Jin, Jing, Chen, Jie, Chen, Peng, Abdollahi, Seyyed Amirreza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624915/
https://www.ncbi.nlm.nih.gov/pubmed/37923845
http://dx.doi.org/10.1038/s41598-023-46211-y
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author Wang, Yujing
Jin, Jing
Chen, Jie
Chen, Peng
Abdollahi, Seyyed Amirreza
author_facet Wang, Yujing
Jin, Jing
Chen, Jie
Chen, Peng
Abdollahi, Seyyed Amirreza
author_sort Wang, Yujing
collection PubMed
description The hemodynamic analysis of the blood stream inside the cerebral aneurysms reveals the risk of the aneurysm rupture. In addition, the high risk region prone to rupture would be determined by the hemodynamic analysis of the blood. In present article, computational fluid dynamic is used for the investigation of the hemodynamic effects on the aneurysm wall and risk of rupture. This study tries to find the connection between the risk of rupture with three geometrical features of aneurysm i.e., Ellipsoid Max semi-axis, Size ratio and Tortuosity. Statistical analysis is done over 30 different ruptured /unruptured ICA aneurysms to find meaningful relation between selected geometrical factors and rupture risk. The hemodynamic analysis is done over four distinct aneurysm models to attain more details on effects of chosen geometrical factors. The results of simulations indicate that the Ellipsoid Max semi-axis have meaningful impacts on the risk of rupture.
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spelling pubmed-106249152023-11-05 Impacts of morphology parameters on the risk of rupture in intracranial aneurysms: statistical and computational analyses Wang, Yujing Jin, Jing Chen, Jie Chen, Peng Abdollahi, Seyyed Amirreza Sci Rep Article The hemodynamic analysis of the blood stream inside the cerebral aneurysms reveals the risk of the aneurysm rupture. In addition, the high risk region prone to rupture would be determined by the hemodynamic analysis of the blood. In present article, computational fluid dynamic is used for the investigation of the hemodynamic effects on the aneurysm wall and risk of rupture. This study tries to find the connection between the risk of rupture with three geometrical features of aneurysm i.e., Ellipsoid Max semi-axis, Size ratio and Tortuosity. Statistical analysis is done over 30 different ruptured /unruptured ICA aneurysms to find meaningful relation between selected geometrical factors and rupture risk. The hemodynamic analysis is done over four distinct aneurysm models to attain more details on effects of chosen geometrical factors. The results of simulations indicate that the Ellipsoid Max semi-axis have meaningful impacts on the risk of rupture. Nature Publishing Group UK 2023-11-03 /pmc/articles/PMC10624915/ /pubmed/37923845 http://dx.doi.org/10.1038/s41598-023-46211-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wang, Yujing
Jin, Jing
Chen, Jie
Chen, Peng
Abdollahi, Seyyed Amirreza
Impacts of morphology parameters on the risk of rupture in intracranial aneurysms: statistical and computational analyses
title Impacts of morphology parameters on the risk of rupture in intracranial aneurysms: statistical and computational analyses
title_full Impacts of morphology parameters on the risk of rupture in intracranial aneurysms: statistical and computational analyses
title_fullStr Impacts of morphology parameters on the risk of rupture in intracranial aneurysms: statistical and computational analyses
title_full_unstemmed Impacts of morphology parameters on the risk of rupture in intracranial aneurysms: statistical and computational analyses
title_short Impacts of morphology parameters on the risk of rupture in intracranial aneurysms: statistical and computational analyses
title_sort impacts of morphology parameters on the risk of rupture in intracranial aneurysms: statistical and computational analyses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624915/
https://www.ncbi.nlm.nih.gov/pubmed/37923845
http://dx.doi.org/10.1038/s41598-023-46211-y
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