Authors:

Jonathan Ibinson

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About Paper:

Intracranial aneurysms (IAs) are present in an estimated 2-5% of adult humans. Medical imaging advances have increased incidental IA detection. Interventions are associated with significant complication risks but are necessary in preventing rupture. Most IAs remain stable, so treatment should be reserved for growing aneurysms. Traditional risk stratification of unruptured IAs relies on patient characteristics, aneurysm size, and aneurysm location. However, hemodynamic characterization of IAs could provide quantitative measures associated with aneurysm progression and improve risk assessment. In this study, image-based computational fluids dynamics (CFD) modeling was conducted to determine IA hemodynamic metrics, including wall shear stress (WSS), which influences endothelial modeling pathways. Both stable and growing patient-specific vascular geometries were obtained from MRI data with the open-source software ITK-snap. The inlet boundary conditions correspond to patient-specific flow, if available, or generalized vessel-specific flow. The outlet boundary conditions were set as a lumped parameter RCR model. The simulation was run in the open-source modeling platform SimVascular and post-processed in the open-source visualization software ParaView. The reported hemodynamics parameters include time-averaged WSS, velocity, and oscillatory shear index. Additionally, morphological characteristics were considered, including aneurysm and neck depth and area, aspect ratio, non-sphericity index, size ratio, and bottle neck factor. This investigation considers potential associations between morphologic and hemodynamic variables in both stable and growing IAs. It will be used as the groundwork for a longitudinal study connecting IA characteristics to aneurysm stability over a one-year period. This can elucidate key variables that may improve IA rupture risk in a clinical setting.

Source:

Purdue University / 2023

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No topics listed

Co-authors:

Jonathan Ibinson