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Longitudinal In Vivo Imaging of the Cerebrovasculature: Relevance to CNS Diseases
Published on: December 6, 2016
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Obesity-Driven Segment-Specific Cerebrovascular Remodeling: A 3D High-Resolution Vessel Wall Imaging Study.
1Medical Imaging Center, Qinhuangdao NO.1 Hospital, Qinhuangdao, Hebei, 066000, People's Republic of China.
Summary
Elevated body mass index (BMI) is linked to cerebrovascular changes. Three-dimensional high-resolution magnetic resonance vessel wall imaging (3D HRMR-VWI) shows increased vessel wall thickness and deterioration risk with higher BMI.
Area of Science:
- Neuroimaging
- Vascular Biology
- Public Health
Background:
- Obesity is a growing global health concern.
- Body Mass Index (BMI) is a key indicator of body fatness.
- Cerebrovascular structure can be affected by metabolic factors.
Purpose of the Study:
- To compare cerebrovascular luminal diameter (LD) and maximum wall thickness (MWT) across normal weight, overweight, and obese individuals.
- To evaluate the impact of BMI on cerebrovascular structure using 3D HRMR-VWI.
- To identify segment-specific changes in cerebral arteries related to BMI.
Main Methods:
- Ninety-six subjects were classified into normal weight, overweight, and obese groups.
- 3D HRMR-VWI was employed to assess cerebrovascular structure.
- Internal carotid artery (ICA) and middle cerebral artery (MCA) segments were analyzed for LD, MWT, and vessel wall status.
Main Results:
- Overweight individuals showed significantly larger LD in the right C3 segment compared to normal weight individuals.
- Obese individuals exhibited reduced LD in the right C3 segment.
- MWT significantly increased with higher BMI, with pronounced thickening in specific ICA segments (C1, C2, C6) in the obese group.
- Each BMI increase elevated the risk of vessel wall deterioration by 98%.
Conclusions:
- 3D HRMR-VWI reveals segment-specific cerebrovascular remodeling in obese individuals.
- A dose-effect relationship exists between elevated BMI and vessel wall deterioration.
- Findings support optimizing 3D HRMR-VWI screening and establishing BMI-stratified intervention thresholds.
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