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Stroke Mechanism Subtypes and Prognosis in Patients With Symptomatic Intracranial Atherosclerosis Based on
Wenqiao Zheng1,2, Hua Wei2, Fan Bai2
1Department of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, China.
Background:
Different stroke mechanisms present with distinct imaging characteristics and prognosis. Multiparametric MRI can characterize these variations and may contribute to stroke secondary prevention.
Purpose:
To investigate the stroke mechanism subtypes and prognosis in patients with symptomatic intracranial atherosclerosis using multiparametric MRI.
Study Type:
Retrospective.
Population:
Two hundred and seventeen ischemic stroke patients (147 males; age 55.5 ± 11.7 years) with intracranial atherosclerosis.
Field Strength/Sequence:
3-T, dynamic susceptibility contrast perfusion-weighted imaging (DSC-PWI); High-resolution vessel wall imaging (HR-VWI): three-dimensional (3D) T1-weighted Sampling Perfection with Application optimized Contrast using different flip angle Evolution (SPACE) and contrast-enhanced T1-SPACE.
Assessment:
All patients underwent multiparametric MRI within 7 days of stroke symptom onset. The stroke mechanisms included branch occlusive disease (BOD), artery-to-artery embolism, hypoperfusion, and mixed mechanisms. The following imaging characteristics were assessed by three radiologists independently. HR-VWI plaque characteristics included plaque area, lipid area, lipid ratio, occlusive thrombus, degree of stenosis, plaque burden, enhancement ratio, remodeling index, and intraplaque hemorrhage (IPH). The mean transit time-Alberta Stroke Program Early Computed Tomography score (MTT-ASPECTS) based on DSC-PWI was used to evaluate perfusion impairment. During a median follow-up period of 15 months, the correlation between different stroke mechanisms and prognosis was analyzed.
Statistical Tests:
Chi-squared or Fisher's exact, Kruskal-Wallis H-tests, multivariate logistic regression, and Kaplan-Meier curves. All p-values were corrected by Bonferroni correction, and p-values < 0.05 were considered statistically significant.
Results:
Mixed mechanism was the most common subtype (32.7%). Significant differences were observed in perfusion impairment, degree of stenosis, plaque burden, enhancement ratio, IPH, and remodeling among stroke mechanisms. Of these characteristics, MTT-ASPECTS (odds ratio [OR] 0.70, 95% CI 0.562-0.863) and IPH (OR 2.30, 95% CI 1.042-5.051) were significantly associated with non-BOD mechanisms. Hypoperfusion mechanism was associated with a higher risk of stroke recurrence during a median follow-up of 15 months (hazard ratio 3.97, 95% CI 1.43-11.03).
Data Conclusion:
Multiparametric MRI may reveal differences in imaging characteristics among stroke mechanisms. Hypoperfusion may be associated with an increased risk of stroke recurrence.
Evidence Level:
3. Technical Efficacy: Stage 3.
Insights
Multiparametric MRI reveals distinct stroke mechanisms in intracranial atherosclerosis. Hypoperfusion is linked to a higher risk of recurrent stroke.
Area of Science:
- Neurology
- Radiology
- Cardiovascular Medicine
Background:
- Stroke mechanisms vary, influencing prognosis and secondary prevention strategies.
- Multiparametric MRI offers detailed characterization of stroke subtypes.
- Understanding these variations is crucial for effective patient management.
Purpose of the Study:
- To investigate stroke mechanism subtypes in patients with symptomatic intracranial atherosclerosis.
- To analyze the relationship between stroke mechanisms and prognosis using multiparametric MRI.
- To identify imaging characteristics associated with different stroke mechanisms.
Main Methods:
- Retrospective study of 217 ischemic stroke patients with intracranial atherosclerosis.
- Utilized 3-T multiparametric MRI, including dynamic susceptibility contrast perfusion-weighted imaging (DSC-PWI) and high-resolution vessel wall imaging (HR-VWI).
- Assessed plaque characteristics, perfusion impairment (MTT-ASPECTS), and analyzed correlations with prognosis over 15 months.
Main Results:
- Mixed mechanism was the most common subtype (32.7%).
- Significant differences in perfusion, stenosis, plaque burden, and intraplaque hemorrhage (IPH) were observed across mechanisms.
- MTT-ASPECTS and IPH were associated with non-branch occlusive disease (BOD) mechanisms. Hypoperfusion correlated with higher stroke recurrence risk.
Conclusions:
- Multiparametric MRI effectively differentiates stroke mechanisms based on imaging characteristics.
- Hypoperfusion mechanism is a significant predictor of increased stroke recurrence risk.
- These findings support the role of advanced MRI in stroke subtyping and risk stratification.
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