Modeling Fibrin Accumulation on Flow-Diverting Devices for Intracranial Aneurysms.

Area of Science:

• Biomedical Engineering
• Computational Fluid Dynamics
• Vascular Biology

Background:

• Aneurysm occlusion mechanisms post-flow diversion are unclear.
• Fibrin accumulation and flow modification interplay requires elucidation.
• Understanding these processes is crucial for optimizing cerebral aneurysm treatment.

Purpose of the Study:

• Develop a computational model for fibrin accumulation and flow modification after flow diversion.
• Investigate the interplay between flow dynamics and fibrin dynamics.
• Enhance understanding of cerebral aneurysm occlusion post-treatment.

Main Methods:

• Developed a loosely coupled computational model for flow and transport-reaction equations.
• Incorporated thrombin and fibrin production, inhibition, and adhesion dynamics.
• Validated the model using idealized in vitro aneurysm geometries and flow conditions.

Main Results:

• The model reproduced key fibrin accumulation features: production in high shear, inflow zone accumulation, and progressive device occlusion.
• Simulated flow attenuation correlated with device occlusion.
• Demonstrated the model's ability to capture salient aspects of fibrin dynamics post-flow diversion.

Conclusions:

• The computational model effectively links flow dynamics to fibrin production, transport, and adhesion.
• This model aids in understanding fibrin accumulation and its role in aneurysm inflow reduction.
• Provides insights into intra-aneurysmal flow modulation for improved treatment strategies.