Simulation-based analysis reveals hemodynamic changes affecting rupture risk in cerebral aneurysms, suggesting better predictive methods.
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.
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Imran et al. (2025) studied this question.
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