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Hemodynamic Features of Microsurgically Identified, Thin-Walled Regions of Unruptured Middle Cerebral Artery Aneurysms Characterized Using Computational Fluid Dynamics

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dc.contributor.authorKim, Jang Hun-
dc.contributor.authorHan, Huan-
dc.contributor.authorMoon, Young-June-
dc.contributor.authorSuh, Sangil-
dc.contributor.authorKwon, Taek-Hyun-
dc.contributor.authorKim, Jong Hyun-
dc.contributor.authorChong, Kyuha-
dc.contributor.authorYoon, Won-Ki-
dc.date.accessioned2021-08-30T22:18:07Z-
dc.date.available2021-08-30T22:18:07Z-
dc.date.created2021-06-18-
dc.date.issued2020-06-
dc.identifier.issn0148-396X-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/55488-
dc.description.abstractBACKGROUND: Thin-walled regions (TWRs) of aneurysm surfaces observed in microscopic surgery are thought to be vulnerable areas for growth and rupture of unruptured intracranial aneurysms (UIAs). OBJECTIVE: To identify hemodynamic features of TWRs of aneurysms by using computational fluid dynamics (CFD) analyses of unruptured middle cerebral artery bifurcation (MCAB) aneurysms. METHODS: Nine patients with 11 MCAB aneurysms were enrolled, and their TWRs were identified. CFD analysis was performed using 3 parameters: pressure, wall shear stress (WSS), and WSS divergence (WSSD). Each parameter was evaluated for its correspondence with TWR. RESULTS: Among 11 aneurysms, 15 TWRs were identified. Corresponding matches with CFD parameters (pressure, WSS, and WSSD) were 73.33, 46.67, and 86.67%, respectively. CONCLUSION: WSSD, a hemodynamic parameter that accounts for both magnitude and directionality of WSS, showed the highest correspondence. High WSSD might correspond with TWR of intracranial aneurysms, which are likely high-risk areas for rupture.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherOXFORD UNIV PRESS INC-
dc.subjectQUALITY-OF-LIFE-
dc.subjectINTRACRANIAL ANEURYSMS-
dc.subjectSHEAR-STRESS-
dc.subjectENDOVASCULAR TREATMENT-
dc.subjectRUPTURE RISK-
dc.subjectPREVALENCE-
dc.subjectMRI-
dc.titleHemodynamic Features of Microsurgically Identified, Thin-Walled Regions of Unruptured Middle Cerebral Artery Aneurysms Characterized Using Computational Fluid Dynamics-
dc.typeArticle-
dc.contributor.affiliatedAuthorMoon, Young-June-
dc.contributor.affiliatedAuthorSuh, Sangil-
dc.contributor.affiliatedAuthorKim, Jong Hyun-
dc.contributor.affiliatedAuthorYoon, Won-Ki-
dc.identifier.doi10.1093/neuros/nyz311-
dc.identifier.scopusid2-s2.0-85085156465-
dc.identifier.wosid000538792600047-
dc.identifier.bibliographicCitationNEUROSURGERY, v.86, no.6, pp.851 - 859-
dc.relation.isPartOfNEUROSURGERY-
dc.citation.titleNEUROSURGERY-
dc.citation.volume86-
dc.citation.number6-
dc.citation.startPage851-
dc.citation.endPage859-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalResearchAreaSurgery-
dc.relation.journalWebOfScienceCategoryClinical Neurology-
dc.relation.journalWebOfScienceCategorySurgery-
dc.subject.keywordPlusQUALITY-OF-LIFE-
dc.subject.keywordPlusINTRACRANIAL ANEURYSMS-
dc.subject.keywordPlusSHEAR-STRESS-
dc.subject.keywordPlusENDOVASCULAR TREATMENT-
dc.subject.keywordPlusRUPTURE RISK-
dc.subject.keywordPlusPREVALENCE-
dc.subject.keywordPlusMRI-
dc.subject.keywordAuthorAneurysm-
dc.subject.keywordAuthorComputational fluid dynamics-
dc.subject.keywordAuthorThin-walled region-
dc.subject.keywordAuthorWall shear stress divergence-
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