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Enhancing cerebral arteriovenous malformation analysis: Development and application of patient-specific lumped
Bowen Zhang1, Xi Chen2, Wang Qin1
1Institute for biomechanics, Department of Aeronautics and Astronautics, Fudan University, No. 220 Handan Road, Shanghai, 200433, China.
Computers in Biology and Medicine
|August 7, 2024
Summary
This study developed patient-specific models of cerebral arteriovenous malformations (AVMs) using 3D imaging. These models reveal how AVMs disrupt blood flow, reducing perfusion to brain tissue.
Area of Science:
- Biomedical Engineering
- Computational Fluid Dynamics
- Neuroscience
Background:
- Cerebral arteriovenous malformations (AVMs) present complex neurovascular challenges due to abnormal direct arteriovenous connections.
- Traditional lumped parameter models (LPMs) often oversimplify AVM angioarchitecture, failing to capture intricate nidus structures.
- Enhanced structural fidelity in AVM modeling is crucial for understanding disrupted brain blood flow dynamics.
Purpose of the Study:
- To refine the understanding of cerebral AVM hemodynamics by developing patient-specific LPMs.
- To improve structural fidelity in AVM modeling using 3D medical imaging data.
- To create more accurate computational models for simulating blood flow in AVMs.
Main Methods:
- Delineation of AVM vascular architecture using threshold segmentation and skeletonization.
- Extraction of vessel connections to form a detailed fistulous vascular tree model of the AVM nidus.
- Integration of the AVM model with an electrical analog for numerical simulations of cerebral hemodynamics.
Main Results:
- Generation of two distinct patient-specific AVM networks with high structural and morphological accuracy.
- Effective representation of intricate fistulous and plexiform vessel structures within the AVM nidus.
- Numerical analysis demonstrating that AVMs cause a blood shunt effect, reducing perfusion to adjacent brain tissues.
Conclusions:
- Patient-specific LPMs accurately reflect AVM vascular structures, enhancing theoretical frameworks for AVM research.
- These models provide profound insights into AVM hemodynamic behaviors, including the blood steal phenomenon.
- Incorporating clinical data into these models can advance AVM diagnosis and treatment strategies.
