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Changes of Atherosclerotic Plaque in Cerebral Artery Stenosis According to High-Resolution MR Imaging
Min Soo Baek1, Kang Hoon Lee1, Seong Yoon Cho1
1Medical School, Jeonbuk National University, Jeonju 54907, Korea.
Insights
High-resolution MRI reveals intraplaque hemorrhage (IPH) is linked to changes in cerebral artery stenosis. Regression of IPH predicts stenosis regression, while IPH progression indicates stenosis worsening.
Area of Science:
- Neurology
- Cardiovascular Imaging
- Radiology
Background:
- Atherosclerosis affects multiple arteries, increasing stroke and heart disease risk.
- Conventional imaging struggles to predict atherosclerosis progression.
- High-resolution magnetic resonance imaging (HR-MRI) offers advanced insights into arterial plaque characteristics.
Purpose of the Study:
- To investigate risk factors for cerebral artery stenosis progression using HR-MRI.
- To analyze the association between atherosclerotic plaque characteristics and stenosis changes.
- To identify predictors of stenosis progression and regression.
Main Methods:
- Retrospective analysis of 42 patients with cerebral artery stenosis undergoing HR-MRI at least twice.
- Evaluation of demographics, risk factors, and stenosis incidence.
- Multivariate analysis to assess associations between intraplaque hemorrhage (IPH) and stenosis changes.
Main Results:
- Intraplaque hemorrhage (IPH) was detected in 47.6% of patients.
- IPH regression was associated with stenosis regression (OR, 10.13; p=0.027).
- IPH progression strongly correlated with stenosis progression (OR, 115.80; p=0.007).
Conclusions:
- IPH on HR-MRI is a significant imaging biomarker for cerebral atherosclerotic stenosis changes.
- IPH characteristics can help predict the progression or regression of cerebral artery stenosis.
- HR-MRI provides valuable information for managing atherosclerosis and preventing cerebrovascular events.
Abstract:
Atherosclerosis can affect multiple arteries, and result in stroke and heart disease. Clinical and conventional imaging is insufficient to predict the progression of atherosclerosis. This study investigates risk factors that rely on high-resolution magnetic resonance imaging (HR-MRI). Patients with cerebral artery stenosis who had undergone HR-MRI at least twice were included. The demographics, risk factors, and proportion of patients with cerebral artery stenosis were investigated. The association between atherosclerotic plaque characteristics and the progression or regression of artery stenosis was also analyzed. A total of 42 patients were analyzed, with a median follow-up of 16.88 ± 12.53 months. The mean age of all subjects was 63.1 ± 9.15 years, and 83.3% of them were male. The incidences of stenosis of the basilar, proximal internal carotid, and middle cerebral arteries were 21.4%, 61.9%, and 16.7%, respectively. Intraplaque hemorrhage (IPH) was detected in 20 (47.6%) patients. Multivariate analysis showed that age (odds ratio (OR), 0.87; p = 0.014), smoking (OR, 0.11; p = 0.033), and IPH regression (OR, 10.13; p = 0.027) were associated with stenosis regression. The progression of IPH (OR, 115.80; p = 0.007) was associated with stenosis progression. Results suggest that IPH on HR-MRI is associated with changes in cerebral atherosclerotic stenosis.
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