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Related Experiment Video

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Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure

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Computational Fluid Dynamics Using a Porous Media Setting Predicts Outcome after Flow-Diverter Treatment.

M Beppu¹, M Tsuji², F Ishida²

¹From the Department of Neurosurgery (M.B., M.S., S.Y.), Hyogo College of Medicine, Hygo, Japan mikiya.beppu@gmail.com.

AJNR. American Journal of Neuroradiology

|October 2, 2020

Summary

This summary is machine-generated.

Computational fluid dynamics can predict flow-diverter treatment outcomes for wide-neck aneurysms. Hemodynamic parameters, particularly normalized residual flow volume, effectively forecast angiographic occlusion status, aiding treatment decisions.

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Area of Science:

Biomedical Engineering
Medical Imaging
Interventional Neurology

Background:

Limited knowledge exists regarding predictors for successful flow-diverter treatment outcomes.
Flow-diverter stents are used for treating large wide-neck aneurysms.

Purpose of the Study:

To predict angiographic occlusion status after flow-diverter treatment using computational fluid dynamics (CFD).
To aid decision-making in treating large wide-neck aneurysms.

Main Methods:

Retrospective analysis of 27 patients treated with flow-diverter stents.
Application of CFD with porous media modeling using patient-specific 3D rotational angiography.
Classification of patients into no-filling and contrast-filling groups based on the O'Kelly-Marotta scale.
Evaluation of patient characteristics, morphologic variables, and hemodynamic parameters.

Main Results:

Patient characteristics and morphologic variables were similar between groups.
Significantly lower flow velocity, wall shear stress, shear rate, modified aneurysmal inflow rate coefficient, and residual flow volume were observed in the no-filling group.
Normalized residual flow volume (residual flow volume normalized by dome volume) and average flow velocity (≥8.0 cm/s) were identified as the most effective predictors of treatment outcomes via ROC curve analysis.

Conclusions:

Hemodynamic parameters derived from CFD can predict angiographic occlusion status after flow-diverter treatment.
The study highlights the potential of CFD modeling for optimizing treatment strategies for wide-neck aneurysms.