Association Between the Amount of Carotid Perivascular Adipose Tissue and Prior Ischemic Stroke: An MR Imaging Study

Shuwan Yu1, Ran Huo2, Xueyi Chen3

  • 1Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China (S.Y., N.X., X.Z.).

Abstract

Insights

Increased carotid artery perivascular adipose tissue (PVAT) is linked to prior cerebral infarction. This finding suggests PVAT may play a role in ischemic stroke occurrence.

Area of Science:

  • Cardiovascular Imaging
  • Neurology
  • Radiology

Background:

  • Perivascular adipose tissue (PVAT) surrounding the carotid artery is increasingly recognized for its role in atherosclerosis.
  • Understanding the relationship between carotid PVAT and cerebrovascular events like prior cerebral infarction is crucial for risk stratification.

Purpose of the Study:

  • To investigate the association between the amount of carotid artery PVAT and the presence of prior cerebral infarction.
  • To determine if quantitative measurements of PVAT can serve as a predictor for cerebral infarction.

Main Methods:

  • 139 patients with moderate-to-severe carotid stenosis underwent MRI for vessel wall and brain imaging.
  • Quantitative analysis of carotid artery PVAT (area, area index, volume index) was performed.
  • Logistic regression models were used to assess the association between PVAT measurements and prior cerebral infarction.

Main Results:

  • Patients with prior cerebral infarction had significantly higher amounts of carotid artery PVAT compared to those without.
  • Carotid PVAT area, area index, and volume index were all significantly associated with prior cerebral infarction in univariate analysis.
  • These associations remained statistically significant after adjusting for clinical factors and plaque characteristics.

Conclusions:

  • The amount of carotid artery PVAT, particularly in the presence of vulnerable plaque components, is independently associated with prior cerebral infarction.
  • Carotid PVAT may serve as a potential imaging biomarker for predicting the risk of ischemic stroke.

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