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Cerebral aneurysm classification based on angioarchitecture.
1Department of Neurological Surgery, Indiana University School of Medicine, Indianapolis, Indiana 46202-5124, USA. mpritz@iupui.edu
Summary
A new classification system for cerebral aneurysms based on angioarchitecture and hemodynamics offers a more comprehensive understanding than traditional location-based naming. This approach aids in evaluating aneurysm growth, rupture, and treatment strategies.
Area of Science:
- Neurosurgery
- Vascular Neurology
- Medical Imaging
Background:
- Cerebral aneurysms are typically named by location in the anterior or posterior circulation.
- This traditional nomenclature overlooks crucial factors like hemodynamic forces and aneurysm wall characteristics.
- These overlooked factors significantly influence aneurysm formation, growth, rupture, and treatment outcomes.
Purpose of the Study:
- To develop and validate a novel classification system for cerebral aneurysms.
- The proposed system considers angioarchitecture and potential hemodynamic properties.
- To improve the evaluation of cerebral aneurysm growth, rupture, and treatment.
Main Methods:
- Retrospective review of 329 cerebral aneurysms with sufficient imaging and operative data.
- Exclusion of dissecting, traumatic, false, infectious, and tumorous aneurysms.
- Classification based on aneurysm morphology (fusiform, saccular) and relationship with adjacent vessels (conducting, primary, secondary, tertiary, side-branch).
Main Results:
- All 329 aneurysms were classified into fusiform (n=16) and saccular (n=313) groups.
- Fusiform aneurysms were simple (n=10) or complex (n=6).
- Saccular aneurysms were categorized by their association with branch vessels (n=31), side-branch vessels (n=125), or bifurcations (n=157).
Conclusions:
- The proposed angioarchitecture-based classification effectively categorizes all reviewed cerebral aneurysms.
- This system provides a more detailed description by incorporating vessel association.
- Focusing on angioarchitecture and rheologic properties offers a valuable framework for understanding aneurysm behavior and guiding clinical decisions.
