Predicting Cerebral Aneurysm Rupture: The Role of Computational Fluid Dynamics

Intracranial aneurysms (IAs) are outpouchings of cerebral arteries that may rupture, associated with high morbidity and mortality. While most unruptured IAs remain stable, they are often treated due to the severe consequences of rupture. Current IA rupture risk scores rely on clinical and morphologi...

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Bibliographic Details
Published inNeuroimaging clinics of North America Vol. 35; no. 3; p. 333
Main Authors Goudarzian, Farshid, Kondratiuk, Kostiantyn, Rayz, Vitaliy L
Format Journal Article
LanguageEnglish
Published United States 01.08.2025
Subjects
Aneurysm, Ruptured - diagnostic imaging
Aneurysm, Ruptured - physiopathology
Cerebrovascular Circulation - physiology
Computer Simulation
Hemodynamics
Humans
Hydrodynamics
Intracranial Aneurysm - diagnostic imaging
Intracranial Aneurysm - physiopathology
Patient-specific flow simulations
Image-based modeling
Hemodynamics
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Summary:Intracranial aneurysms (IAs) are outpouchings of cerebral arteries that may rupture, associated with high morbidity and mortality. While most unruptured IAs remain stable, they are often treated due to the severe consequences of rupture. Current IA rupture risk scores rely on clinical and morphological factors but do not account for blood flow, which may limit their predictive accuracy. Image-based Computational Fluid Dynamics (CFD) can capture local hemodynamics, but studies linking flow factors to IA rupture have yielded conflicting results. This review presents CFD methods for subject-specific IA flow analysis and discusses challenges in translating computational modeling into clinical practice.
ISSN:1557-9867
DOI:10.1016/j.nic.2025.05.002