Prognostic Role of Carotid Plaque MRI Features in Cerebrovascular Accidents: A Systematic Review and Meta-analysis

Hossein Hemmati1, Amirhossein Larijani2, Amirabbas Mollaei3

  • 1Razi Clinical Research Development Unit, Razi Hospital, Guilan University of Medical Sciences, Rasht, Iran.

Abstract

Insights

Magnetic resonance imaging (MRI) features like intraplaque hemorrhage (IPH), lipid-rich necrotic core (LRNC), and fibrous cap rupture (TRFC) significantly predict cerebrovascular accidents (CVA). These MRI findings identify high-risk patients for potential revascularization.

Area of Science:

  • Neurology
  • Radiology
  • Cardiovascular Science

Background:

  • Carotid plaque characteristics visualized by MRI are increasingly used to predict cerebrovascular accidents (CVA).
  • Key MRI-detected features include intraplaque hemorrhage (IPH), lipid-rich necrotic core (LRNC), and thinning/rupture of the fibrous cap (TRFC).

Purpose of the Study:

  • To systematically review and meta-analyze the association between MRI-reported carotid plaque features (IPH, LRNC, TRFC) and subsequent CVAs.
  • To evaluate the predictive value of these plaque characteristics for cerebrovascular events.

Main Methods:

  • A comprehensive literature search was conducted in PubMed, Scopus, and Web of Science databases.
  • Included were cohort studies with a mean follow-up of ≥1 month, reporting on IPH, LRNC, and TRFC in carotid plaques and subsequent stroke or transient ischemic attack.
  • A random effects model was employed to assess study heterogeneity and publication bias.

Main Results:

  • 13 studies involving 2729 participants met the eligibility criteria.
  • Hazard ratios (HR) for CVA were 4.64 for IPH, 2.89 for LRNC, and 5.02 for TRFC, indicating significant predictive value.
  • No significant heterogeneity was observed, and subgroup analysis showed no difference between asymptomatic and symptomatic groups.

Conclusions:

  • MRI-identified IPH, LRNC, and TRFC in carotid plaques are significant predictors of cerebral ischemic events, independent of luminal stenosis.
  • These MRI findings can help identify patients at high risk who may benefit from revascularization therapies.

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