Real-Time Surgical Planning for Cerebral Aneurysms Treated With Intrasaccular Flow Disruption Devices Based on Fast Virtual Deployment and Discrete Element Method

Abstract

This study introduces an innovative real-time surgical planning platform optimized for the treatment of arterial aneurysms using intrasaccular flow disruption (IFD) devices. This platform incorporates a cutting-edge fast virtual deployment (FVD) algorithm alongside a discrete element method (DEM) for computational fluid dynamics (CFD) analyses. It facilitates the efficient virtual deployment of IFD devices, minimizing computational overhead while allowing for comprehensive postoperative hemodynamic efficacy assessment. The FVD algorithm employs an adaptive wall adherence and curvature control system, validated through both idealized and patient-specific model simulations. Post-treatment hemodynamic shifts are quantified by discretizing device wire filaments into discrete particles, which are then integrated with blood flow simulations for enhanced realism. The FVD algorithm efficiently executes virtual deployment of IFD devices within seconds, producing DEM-CFD computational models that align closely with bench testing, traditional Finite Element Method (FEM) analyses, and angiographic data. DEM-CFD outcomes link occlusion effectiveness to post-implantation hemodynamic characteristics, influenced by the aneurysm's unique anatomical features and clinical intervention strategies. The proposed platform demonstrates substantial improvement in balancing computational efficiency with analytical precision. It provides a viable and innovative framework for real-time surgical planning, presenting significant implications for clinical application in arterial aneurysm management.