High-resolution MR vessel wall imaging and cardiovascular health for evaluating the occurrence of ischemic stroke

Wenqiao Zheng1, Hui Zhou2, Yan Li3

  • 1Department of Radiology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, PR China; Department of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China.

PubMed

Insights

High-resolution MR vessel wall imaging plaque characteristics combined with cardiovascular health metrics can identify individuals at high risk for ischemic stroke. This approach offers new insights for risk evaluation and stratification.

Area of Science:

  • Neurology
  • Cardiology
  • Radiology

Background:

  • Atherosclerotic stenosis in the middle cerebral artery (MCA) is a significant cause of ischemic stroke.
  • Accurate risk stratification for patients with MCA stenosis is crucial for stroke prevention.

Purpose of the Study:

  • To evaluate the predictive value of high-resolution MR vessel wall imaging (HR-VWI) plaque characteristics and cardiovascular health (CVH) metrics for ischemic stroke risk in MCA atherosclerotic stenosis.
  • To explore the combined utility of plaque features and CVH metrics in identifying high-risk individuals.

Main Methods:

  • Retrospective analysis of 209 patients with MCA atherosclerosis.
  • HR-VWI was used to assess plaque characteristics such as stenosis degree, enhancement ratio, plaque burden, remodeling index, and intraplaque hemorrhage.
  • Seven CVH metrics were collected, and their association with ischemic stroke was analyzed using univariate and multivariate methods.

Main Results:

  • Independent predictors of ischemic stroke included degree of stenosis, plaque burden, intraplaque hemorrhage, physical activity, and diet.
  • The combination of plaque characteristics, diet, and physical activity demonstrated the highest predictive performance (AUC = 0.828), with 86.30% sensitivity and 66.67% specificity.

Conclusions:

  • Plaque characteristics identified through HR-VWI, when combined with CVH metrics, can effectively identify populations at high risk for ischemic stroke.
  • This integrated approach provides valuable insights for improving risk evaluation and stratification strategies in patients with MCA atherosclerotic stenosis.
Abstract

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