Identification of fibrous cap rupture with magnetic resonance imaging is highly associated with recent transient

Chun Yuan1, Shao-xiong Zhang, Nayak L Polissar

  • 1Department of Radiology, University of Washington, Seattle 98195, USA. cyuan@u.washington.edu

Circulation
|January 16, 2002
PubMed
Abstract

Insights

Magnetic resonance imaging (MRI) can identify ruptured fibrous caps in carotid atherosclerosis. Ruptured caps are strongly linked to recent transient ischemic attack (TIA) or stroke, indicating high risk.

Area of Science:

  • Vascular imaging
  • Cerebrovascular disease
  • Atherosclerosis imaging

Background:

  • High-resolution MRI differentiates carotid plaque fibrous cap integrity (thick, thin, ruptured) in vivo.
  • Carotid atherosclerosis plaque rupture is a key event in stroke pathogenesis.

Purpose of the Study:

  • To determine if MRI-identified fibrous cap thinning or rupture correlates with recent transient ischemic attack (TIA) or stroke.
  • To assess the association between carotid plaque morphology and recent cerebrovascular events.

Main Methods:

  • Fifty-three patients undergoing carotid endarterectomy underwent preoperative carotid MRI.
  • MRI scans were analyzed using established criteria to classify fibrous cap status (intact-thick, intact-thin, ruptured).
  • Cap status was compared between patients with and without a history of recent TIA or stroke.

Main Results:

  • A significant trend showed a higher percentage of symptomatic patients (recent TIA/stroke) with ruptured caps (70%) versus thick caps (9%).
  • Patients with ruptured fibrous caps were 23 times more likely to have had a recent TIA or stroke compared to those with thick caps.
  • MRI identification of fibrous cap rupture demonstrated a strong association with recent ischemic events.

Conclusions:

  • MRI detection of a ruptured fibrous cap is highly associated with recent TIA or stroke.
  • Carotid plaque fibrous cap characteristics visualized by MRI may predict future ischemic events.
  • Further prospective studies are needed to confirm the predictive value of MRI-derived cap characteristics.