Influence of circle of Willis modeling on hemodynamic parameters in anterior communicating artery aneurysms and recommendations for model selection
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yang, Hyeondong | - |
dc.contributor.author | Cho, Kwang-Chun | - |
dc.contributor.author | Hong, Ineui | - |
dc.contributor.author | Kim, Yeonwoo | - |
dc.contributor.author | Kim, Yong Bae | - |
dc.contributor.author | Kim, Jung-Jae | - |
dc.contributor.author | Oh, Je Hoon | - |
dc.date.accessioned | 2024-04-23T06:00:42Z | - |
dc.date.available | 2024-04-23T06:00:42Z | - |
dc.date.issued | 2024-04 | - |
dc.identifier.issn | 2045-2322 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/118855 | - |
dc.description.abstract | Computational fluid dynamics (CFD) has been utilized to calculate hemodynamic parameters in anterior communicating artery aneurysm (AComA), which is located at a junction between left and right A1 and A2 segments. However, complete or half circle of Willis (CoW) models are used indiscriminately. This study aims to suggest recommendations for determining suitable CoW model. Five patient-specific CoW models with AComA were used, and each model was divided into complete, left-half, and right-half models. After validating the CFD using a flow experiment, the hemodynamic parameters and flow patterns in five AComAs were compared. In four out of five cases, inflow from one A1 side had a dominant influence on the AComA, while both left and right A1 sides affected the AComA in the remaining case. Also, the average difference in time-averaged wall shear stress between the complete and half models for four cases was 4.6%, but it was 62% in the other case. The differences in the vascular resistances of left and right A1 and A2 segments greatly influenced the flow patterns in the AComA. These results may help to enhance clinicians’ understanding of blood flow in the brain, leading to improvements in diagnosis and treatment of cerebral aneurysms. © The Author(s) 2024. | - |
dc.format.extent | 12 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Nature Research | - |
dc.title | Influence of circle of Willis modeling on hemodynamic parameters in anterior communicating artery aneurysms and recommendations for model selection | - |
dc.type | Article | - |
dc.publisher.location | 영국 | - |
dc.identifier.doi | 10.1038/s41598-024-59042-2 | - |
dc.identifier.scopusid | 2-s2.0-85189975666 | - |
dc.identifier.wosid | 001201413300028 | - |
dc.identifier.bibliographicCitation | Scientific Reports, v.14, no.1, pp 1 - 12 | - |
dc.citation.title | Scientific Reports | - |
dc.citation.volume | 14 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 12 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.subject.keywordPlus | UNRUPTURED INTRACRANIAL ANEURYSMS | - |
dc.subject.keywordPlus | CEREBRAL-ARTERIES | - |
dc.subject.keywordPlus | RUPTURE | - |
dc.subject.keywordPlus | STATE | - |
dc.subject.keywordPlus | FLOW | - |
dc.subject.keywordAuthor | Anterior communicating artery aneurysms | - |
dc.subject.keywordAuthor | Circle of Willis | - |
dc.subject.keywordAuthor | Computational fluid dynamics | - |
dc.subject.keywordAuthor | Hemodynamic parameters | - |
dc.subject.keywordAuthor | Vascular resistance | - |
dc.identifier.url | https://www.nature.com/articles/s41598-024-59042-2 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.