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    Computational fluid dynamics (CFD) simulations show consistent blood flow predictions for intracranial aneurysms, despite variations in modeling assumptions. This study highlights the potential of CFD for rupture risk assessment, though biological factors require further integration.

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    Area of Science:

    • Biomedical Engineering
    • Medical Imaging
    • Computational Fluid Dynamics

    Background:

    • Computational fluid dynamics (CFD) is increasingly used in medicine, particularly for predicting intracranial aneurysm rupture.
    • Challenges remain in establishing consistent CFD methodologies due to sensitivity to mesh resolution and discretization.
    • Lack of standardized approaches has limited physician acceptance of CFD for rupture prediction.

    Purpose of the Study:

    • To assess the sensitivity of computational fluid dynamics (CFD) assumptions in predicting intracranial aneurysm rupture.
    • To compare blood-flow predictions from independent participants using diverse CFD approaches in the International CFD Rupture Challenge 2013.
    • To evaluate the variability and sensitivity of CFD solutions to modeling assumptions.

    Main Methods:

    • Twenty-six international groups performed CFD simulations on two intracranial aneurysm models.
    • Participants independently selected mesh, solver, and temporal discretization methods.
    • Velocity and pressure data were submitted; steady-flow particle image velocimetry (PIV) experiments were conducted for comparison.

    Main Results:

    • Approximately 80% of participating groups produced similar blood flow predictions (velocity and pressure).
    • Computational results showed good agreement with each other and with experimental PIV data.
    • Most outlier results underestimated velocity but identified comparable flow structures; deviations over 35% were rare.

    Conclusions:

    • Despite varied numerical schemes and mesh resolutions, CFD simulations yielded consistent flow predictions for intracranial aneurysms.
    • CFD shows promise for predicting aneurysm behavior, but further validation with time-dependent measurements is recommended.
    • Integrating biological factors is crucial for precise intracranial aneurysm rupture risk assessment.