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Quantifying Intracranial Aneurysm Wall Permeability for Risk Assessment Using Dynamic Contrast-Enhanced MRI: A Pilot
P Vakil1, S A Ansari2, C G Cantrell3
1From the Departments of Radiology (P.V., S.A.A., J.V., M.C.H., T.J.C.) Biomedical Engineering (P.V., C.G.C., T.J.C.), Northwestern University, Chicago, Illinois.
This study shows that measuring contrast agent permeability (Ktrans) in intracranial aneurysms using dynamic contrast-enhanced MR imaging can help assess rupture risk. Higher permeability correlates with aneurysm size and other risk factors, aiding clinical decisions.
Area of Science:
- Neuroradiology
- Medical Imaging
- Vascular Biology
Background:
- Pathological changes in intracranial aneurysm walls can increase permeability.
- The clinical significance of aneurysm wall permeability for rupture risk is not well understood.
- This pilot study explores aneurysm wall permeability as a novel marker for rupture risk.
Purpose of the Study:
- To quantify intracranial aneurysm wall permeability (Ktrans, VL) to contrast agent.
- To assess aneurysm wall permeability as a measure of aneurysm rupture risk.
- To compare permeability parameters with established clinical and anatomic risk factors.
Main Methods:
- Dynamic contrast-enhanced MR imaging was used in 27 unruptured intracranial aneurysms from 23 patients.
- Wall permeability parameters (Ktrans, VL) were measured and compared to control MCA.
- Parameters were evaluated against clinical (symptomatic lesions) and anatomic (size, location, morphology) risk metrics.
Main Results:
- High interobserver agreement for Ktrans measurements (ICC > 0.92).
- Significantly increased wall permeability in aneurysms compared to healthy MCA (P < .001).
- Ktrans correlated with aneurysm size (P < .001) and predicted risk independent of size in anatomic and combined risk groups.
Conclusions:
- This is the first study to model contrast permeability in intracranial aneurysms using DCE-MRI.
- Aneurysm wall permeability significantly correlates with aneurysm size and size-independent anatomic risk factors.
- Ktrans is a significant, size-independent predictor of high-risk aneurysms based on morphology and clinical factors.
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