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Published on: May 11, 2011
Hemodynamic analysis of thrombosed intracranial aneurysms: a comparative correlation study
Zonghan Lyu1,2, Andres Gudino3, Carlos Dier3
1Department of Biomedical Engineering, Michigan Technological University, H-STEM 339, 1400 Townsend Drive, Houghton, MI, 49931, USA.
Intracranial aneurysms with intrasaccular thrombosis show distinct hemodynamic patterns. Computational analysis revealed more flow eddies and stagnation in thrombosed aneurysms, promoting thrombus formation.
Area of Science:
- Neurosurgery
- Biomedical Engineering
- Cardiovascular Research
Background:
- Intracranial aneurysms (IA) can harbor intrasaccular thrombosis (IST), a condition whose formation mechanisms are not fully understood.
- Understanding the hemodynamic factors contributing to IST is crucial for predicting aneurysm rupture risk and guiding treatment strategies.
Purpose of the Study:
- To investigate the hemodynamic differences between thrombosed and non-thrombosed intracranial aneurysms.
- To identify specific hemodynamic features that promote intrasaccular thrombosis formation within IAs.
Main Methods:
- Computational hemodynamic analysis was performed on patient-specific intracranial aneurysm geometries derived from 3D MRI.
- 26 IAs were analyzed: 13 with intrasaccular thrombosis and 13 without, matched for size and location.
- Hemodynamic metrics including wall shear stress (WSS), flow vortex analysis, and velocity informatics were utilized.
Main Results:
- Thrombosed IAs exhibited a higher prevalence of flow eddies and greater endothelial cell activation potential (ECAP).
- Flow eddies in thrombosed IAs demonstrated more significant dynamic changes in size and location throughout the cardiac cycle.
- Increased flow stagnation and positive WSS divergence were observed in thrombosed IAs, correlating with thrombus presence.
Conclusions:
- Hemodynamic factors, specifically flow eddies, stagnation, and WSS patterns, play a significant role in the formation of intrasaccular thrombosis in intracranial aneurysms.
- These findings provide insights into the pathophysiology of IST and may inform future risk stratification models for IAs.
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