Carotid plaque magnetic resonance imaging and recurrent stroke risk: A systematic review and meta-analysis

Fengbin Deng1,2, Changping Mu1,2, Ling Yang1

  • 1Radiology Department, Chongqing General Hospital, University of Chinese Academy of Science.

Medicine
|March 30, 2020
PubMed
Abstract

Insights

MRI of carotid plaque components like intraplaque hemorrhage and lipid-rich necrotic core strongly predict recurrent ischemic events. These findings highlight the importance of plaque characterization for stroke risk assessment.

Area of Science:

  • Neurology
  • Radiology
  • Cardiovascular Medicine

Background:

  • Carotid plaque components visualized by MRI are increasingly studied for predicting recurrent ischemic events.
  • Understanding these plaque features is crucial for managing patients at risk of stroke.

Purpose of the Study:

  • To systematically review and meta-analyze the association between MRI-determined carotid plaque components and recurrent ischemic events.
  • To quantify the predictive value of intraplaque hemorrhage, lipid-rich necrotic core, and fibrous cap abnormalities for stroke recurrence.

Main Methods:

  • A systematic electronic search of PUBMED, EMBASE, and CENTRAL was conducted up to October 30, 2018.
  • Included were cohort studies with >1 month follow-up assessing MRI-defined plaque components and recurrent ipsilateral stroke/ischemic events.
  • Fixed-effect meta-analysis was performed due to assessed low heterogeneity.

Main Results:

  • Six studies with 621 participants met the eligibility criteria.
  • Intraplaque hemorrhage showed a hazard ratio (HR) of 7.14 (95% CI, 4.32-11.82) for recurrent stroke/TIA.
  • Thinning/rupture of the fibrous cap had an HR of 5.68 (95% CI, 2.40-13.47), and lipid-rich necrotic core had an HR of 2.73 (95% CI, 1.04-7.16).

Conclusions:

  • MRI-detected intraplaque hemorrhage, lipid-rich necrotic core, and fibrous cap abnormalities are significant predictors of recurrent stroke.
  • Larger cohort studies are recommended to further validate these findings due to the limited number of original studies.