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Endovascular Perforation Model for Subarachnoid Hemorrhage Combined with Magnetic Resonance Imaging (MRI)
Published on: December 16, 2021
MRI-based score for acute basilar artery thrombosis.
D Renard1, N Landragin, A Robinson
1Department of Neurology, Hôpital Gui de Chauliac, CHU Montpellier, Montpellier, France. dimitrirenard@hotmail.com
Cerebrovascular Diseases (Basel, Switzerland)
|May 16, 2008
Summary
A high number of acute ischemic brain lesions on MRI predicts poor outcomes for patients with acute basilar artery occlusion treated with intra-arterial thrombolysis.
Area of Science:
- Neurology
- Radiology
- Stroke Medicine
Background:
- Acute basilar artery (BA) occlusion is a critical condition associated with high mortality.
- Intra-arterial thrombolysis (IAT) is a potential treatment to reduce mortality in acute BA occlusion.
- Identifying reliable pre-treatment predictors of clinical outcome is crucial for optimizing patient management.
Purpose of the Study:
- To identify an easy-to-use, pre-treatment Magnetic Resonance (MR)-based predictor of clinical outcome.
- To evaluate the utility of diffusion-weighted imaging (DWI) lesion load as a predictor in acute BA occlusion patients undergoing IAT.
Main Methods:
- Prospective analysis of 16 patients with acute BA occlusion treated with IAT.
- Assessment of vascular risk factors, NIHSS, GCS, and a semiquantitative DWI lesion score on admission.
- Evaluation of recanalization via angiography and modified Rankin scale (mRs) at 3 months.
Main Results:
- A high DWI lesion score was identified as a significant predictor of poor clinical outcome (p = 0.026).
- Hemorrhagic transformation of infarction occurred in 12.5% of patients.
- Demographic and clinical characteristics were comparable to existing literature.
Conclusions:
- In acute BA occlusion patients treated with IAT, a high number of acute ischemic lesions on DWI predicts a poor clinical outcome.
- DWI lesion load serves as a valuable pre-treatment prognostic marker.
- This finding aids in patient selection and outcome prediction for IAT in basilar artery occlusion.
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