A matched-pair case control study identifying hemodynamic predictors of cerebral aneurysm growth using computational...

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Fluid Dynamics

Background:

• Cerebral aneurysm growth is influenced by biological and hemodynamic factors.
• The precise hemodynamic mechanisms driving aneurysm progression remain unclear.
• Computational modeling offers a method to investigate these complex interactions.

Purpose of the Study:

• To investigate hemodynamic differences between growing and stable cerebral aneurysms.
• To identify specific hemodynamic characteristics associated with aneurysm growth.
• To evaluate the necessity of robust computational methods for accurate simulation.

Main Methods:

• Modeled 11 pairs of growing and stable cerebral aneurysms from MRA/CTA images.
• Utilized computational fluid dynamics (CFD) for simulations.
• Analyzed wall shear stress (WSS), oscillatory shear index (OSI), and low shear areas.

Main Results:

• Growing aneurysms exhibited a significantly higher portion of the aneurysm dome under low wall shear stress (p=0.08).
• Other low shear area metrics also showed significance.
• Mesh resolution was found to significantly impact simulated WSS.

Conclusions:

• Low shear stress areas within aneurysms are linked to aneurysm growth.
• Robust computational modeling is essential for high-fidelity simulation of cerebral aneurysms.
• Further research into low shear areas can advance understanding of aneurysm progression.