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Carotid plaque characteristics and presenting symptom
J Golledge1, R Cuming, M Ellis
1Department of Surgery, Charing Cross and Westminster Medical School, London, UK.
The British Journal of Surgery
|February 4, 1998
Summary
Echolucent carotid plaques (Types I and II) are associated with symptoms, but not symptom type. Plaque morphology does not predict stroke without warning, suggesting further study in asymptomatic patients is needed to identify high-risk individuals.
Area of Science:
- Vascular Neurology
- Medical Imaging
- Cardiovascular Research
Background:
- Identifying predictors of stroke beyond stenosis degree is crucial.
- Carotid artery disease plaque characteristics are increasingly recognized as important indicators.
- This study investigated the link between carotid plaque features and patient symptoms.
Purpose of the Study:
- To assess the relationship between carotid plaque morphology and surface features and presenting symptoms in patients with significant internal carotid stenosis.
- To determine if specific plaque characteristics predict stroke occurrence or type.
Main Methods:
- Color-flow duplex imaging was used to study 285 symptomatic and 65 asymptomatic patients with 60-99% internal carotid stenosis.
- Carotid plaque morphology was classified using the Gray-Weale criteria.
- Plaque surface features (smooth, irregular, ulcerated) were assessed.
Main Results:
- Plaque Types I and II were significantly more prevalent in symptomatic patients (83% vs. 44%, P < 0.0001).
- Plaque ulceration was more common in symptomatic individuals (23% vs. 14%, P = 0.04).
- No association was found between presenting symptom type and plaque morphology or surface features (P = 0.9 and P = 0.8).
Conclusions:
- Echolucent carotid plaques (Types I and II) are associated with the presence of symptoms, but not the specific type of symptom.
- Plaque morphology did not differentiate patients experiencing stroke without warning from other symptomatic groups.
- Prospective studies on plaque morphology in asymptomatic individuals may help identify high-risk patient groups for stroke.