Real-Time Surgical Planning for Cerebral Aneurysms Treated With Intrasaccular Flow Disruption Devices Based on Fast...

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Computational Fluid Dynamics

Background:

• Arterial aneurysms pose significant clinical challenges requiring precise surgical planning.
• Intrasaccular flow disruption (IFD) devices offer a promising treatment modality.
• Current planning methods may lack real-time computational efficiency and detailed hemodynamic analysis.

Purpose of the Study:

• To introduce an innovative real-time surgical planning platform for IFD device treatment of arterial aneurysms.
• To integrate a fast virtual deployment (FVD) algorithm with discrete element method-computational fluid dynamics (DEM-CFD) for enhanced planning.
• To assess postoperative hemodynamic efficacy with improved computational efficiency and analytical precision.

Main Methods:

• Development of a fast virtual deployment (FVD) algorithm with adaptive wall adherence and curvature control.
• Integration of FVD with discrete element method (DEM) for computational fluid dynamics (CFD) analysis.
• Validation using idealized and patient-specific models, bench testing, Finite Element Method (FEM) analysis, and angiographic data.

Main Results:

• The FVD algorithm achieved virtual deployment in seconds, minimizing computational overhead.
• DEM-CFD models accurately predicted post-treatment hemodynamic shifts and occlusion effectiveness.
• The platform demonstrated close alignment with bench testing, FEM, and angiographic data.

Conclusions:

• The developed platform offers a viable framework for real-time surgical planning in arterial aneurysm management.
• It significantly improves the balance between computational efficiency and analytical precision.
• This innovation has substantial implications for optimizing clinical interventions and patient outcomes.