Simulation-Based Investigation of Hemodynamic Changes in Cerebral Aneurysms: Implications for Rupture Risk Prediction | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Simulation-Based Investigation of Hemodynamic Changes in Cerebral Aneurysms: Implications for Rupture Risk Prediction Al Imran, Changbiao Li, Yanpeng Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7113602/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Cerebral aneurysms are a major concern in neurosurgery due to their potential for rupture, leading to subarachnoid hemorrhage and high mortality rates. Traditional methods for assessing rupture risk rely on clinical factors and imaging techniques, which often fail to provide a comprehensive risk profile. This study explores the application of computational fluid dynamics (CFD) simulations to analyze hemodynamic changes in cerebral aneurysms, with a focus on identifying rupture risk predictors. We propose a simulation-based approach to quantify blood flow patterns, wall shear stress (WSS), pressure gradients, and vortex formation in aneurysmal sacs. Our findings demonstrate the significance of high WSS, low WSS, and abnormal flow patterns in determining rupture risk. The study provides insight into the potential of simulation-based methodologies for personalized risk assessment and treatment planning for patients with cerebral aneurysms. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7113602","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":496550579,"identity":"d1f052a8-0ae4-49b5-a796-3280acbd4251","order_by":0,"name":"Al Imran","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3UlEQVRIiWNgGAWjYDADxvmHDwApCRnitTDPYEsAaeEhXgv7DB4DEE1YC7/Y4WMPPubY5PHO7vn86kaNBQ8D++GjG/BpkZydlm44c1taseScs9usc44BHcaTlnYDnxaD2zlm0rzbDidubMjdZpzDBtQiwWOGV4s9SMtfoJb9B3KeGef8I0KLgTRQCyNQS+OMHObHuW1EaJG4nZYm2bstLbGx55gZc26fBA8bIb/wz04+JvFzm01iY3vz48853+rk+NkPH8OrBRmwSYBJYpWDAPMHUlSPglEwCkbByAEAuE9JInNR/c8AAAAASUVORK5CYII=","orcid":"","institution":"Xi’an Jiaotong University","correspondingAuthor":true,"prefix":"","firstName":"Al","middleName":"","lastName":"Imran","suffix":""},{"id":496550580,"identity":"870f9a15-732b-4b96-9e09-24498c3b3775","order_by":1,"name":"Changbiao Li","email":"","orcid":"","institution":"Xi’an Jiaotong University","correspondingAuthor":false,"prefix":"","firstName":"Changbiao","middleName":"","lastName":"Li","suffix":""},{"id":496550581,"identity":"c18b4617-aae9-4056-ad63-7bc8abe9f47b","order_by":2,"name":"Yanpeng Zhang","email":"","orcid":"","institution":"Xi’an Jiaotong University","correspondingAuthor":false,"prefix":"","firstName":"Yanpeng","middleName":"","lastName":"Zhang","suffix":""}],"badges":[],"createdAt":"2025-07-13 13:38:23","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7113602/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7113602/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":88659751,"identity":"1a9de7c7-7e5e-40a8-8654-278825c1d47f","added_by":"auto","created_at":"2025-08-08 20:34:57","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":589064,"visible":true,"origin":"","legend":"","description":"","filename":"paper2hemodynamic.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7113602/v1_covered_d1085f08-7c64-4c28-be7f-87904066a7ad.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Simulation-Based Investigation of Hemodynamic Changes in Cerebral Aneurysms: Implications for Rupture Risk Prediction","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-7113602/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7113602/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eCerebral aneurysms are a major concern in neurosurgery due to their potential for rupture, leading to subarachnoid hemorrhage and high mortality rates. Traditional methods for assessing rupture risk rely on clinical factors and imaging techniques, which often fail to provide a comprehensive risk profile. This study explores the application of computational fluid dynamics (CFD) simulations to analyze hemodynamic changes in cerebral aneurysms, with a focus on identifying rupture risk predictors. We propose a simulation-based approach to quantify blood flow patterns, wall shear stress (WSS), pressure gradients, and vortex formation in aneurysmal sacs. Our findings demonstrate the significance of high WSS, low WSS, and abnormal flow patterns in determining rupture risk. The study provides insight into the potential of simulation-based methodologies for personalized risk assessment and treatment planning for patients with cerebral aneurysms.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e","manuscriptTitle":"Simulation-Based Investigation of Hemodynamic Changes in Cerebral Aneurysms: Implications for Rupture Risk Prediction","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-08-08 20:10:49","doi":"10.21203/rs.3.rs-7113602/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"e79642c2-efc8-4de5-b69c-d96391b62505","owner":[],"postedDate":"August 8th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-08-08T20:10:52+00:00","versionOfRecord":[],"versionCreatedAt":"2025-08-08 20:10:49","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7113602","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7113602","identity":"rs-7113602","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.