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Computer-assisted carotid plaque characterisation

N el-Barghouty1, G Geroulakos, A Nicolaides

  • 1Academic Vascular Unit, St Mary's Hospital Medical School, London, UK.

European Journal of Vascular and Endovascular Surgery : the Official Journal of the European Society for Vascular Surgery
|May 1, 1995
PubMed
Summary
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Computer analysis of carotid plaque echogenicity can identify high-risk plaques. Echolucent plaques were significantly more likely to be associated with cerebral infarction than echogenic plaques.

Area of Science:

  • Neurology
  • Vascular Surgery
  • Medical Imaging

Background:

  • Cerebral infarction is a major cause of disability and death.
  • Carotid artery stenosis is a significant risk factor for stroke.
  • Plaque characteristics may predict stroke risk.

Purpose of the Study:

  • To investigate the relationship between carotid plaque echogenicity, quantified by computer analysis, and the incidence of cerebral infarction.

Main Methods:

  • Eighty-seven patients with significant internal carotid artery stenosis were studied.
  • Carotid plaque images were analyzed using computer software to determine echogenicity (grey scale median).
  • Correlation with CT-confirmed ipsilateral cerebral infarction was assessed.

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Main Results:

  • 36% of plaques were associated with cerebral infarction.
  • Echolucent plaques (grey scale median ≤ 32) had a significantly higher incidence of CT infarction (55%) compared to echogenic plaques (grey scale median > 32, 11%).
  • Echolucent plaques were associated with a 22-fold increased risk of cerebral infarction.

Conclusions:

  • Computer-aided analysis of carotid plaque echogenicity can identify high-risk plaques.
  • This method holds potential for identifying asymptomatic individuals at high risk for stroke.