ArticleQuantitative imaging in medicine and surgery2026
The predictive value of Plaque-RADS classification in two-dimensional carotid ultrasound for stroke risk stratification.
Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: The Carotid Plaque Reporting and Data System (Plaque-RADS) standardizes plaque risk assessment, but its ability to predict the prevalence of stroke has not yet been fully investigated. This study aimed to evaluate the association between the Plaque-RADS categories and stroke prevalence in a large prospective cohort using two-dimensional (2D) carotid ultrasound. Methods: In total, 2,023 patients undergoing carotid ultrasound were enrolled in this prospective cohort study. Stroke risk was stratified using Plaque-RADS categories 1-4. Based on clinical diagnosis, the patients were categorized into stroke and non-stroke groups. The associations between the Plaque-RADS categories and stroke prevalence/recurrence were analyzed by multivariate logistic regression, adjusted for gender, age, and diabetes mellitus. A linear trend test was performed across the ordinal categories. Results: The stroke group (n=212) had a higher proportion of males (65.1% Conclusions: The Plaque-RADS classification, as applied in 2D carotid ultrasound, effectively stratifies both initial and short-term recurrent stroke risk, supporting its integration into routine clinical practice for risk assessment.
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