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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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. |
format | Online Article Text |
id | pubmed-10624915 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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