ArticleThe international journal of cardiovascular imaging2021
Maximum plaque height in carotid ultrasound predicts cardiovascular disease outcomes: a population-based validation study of the American society of echocardiography's grade II-III plaque characterization and protocol.
Article in The international journal of cardiovascular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 26 citations in OpenAlex.
- Predicting carotid plaques in metabolic dysfunction-associated steatotic liver disease using machine learning and SHAP interpretation.Scientific reports · 2025Article
- Carotid plaque score is associated with 10-year major adverse cardiovascular events in low-intermediate risk patients referred to a general cardiology community clinic.European heart journal. Cardiovascular Imaging · 2025Article
- Constructing a clinical prediction model for patients with coronary heart disease: a study based on carotid ultrasound and clinical related factors.Frontiers in cardiovascular medicine · 2025Article
- Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data.Diagnostics (Basel, Switzerland) · 2024Article
- Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort.The international journal of cardiovascular imaging · 2024Article
- UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review.Reviews in cardiovascular medicine · 2024Review
- Deep Learning Paradigm and Its Bias for Coronary Artery Wall Segmentation in Intravascular Ultrasound Scans: A Closer Look.Journal of cardiovascular development and disease · 2023Review
- Associations between Circulating VEGFR2Journal of immunology research · 2022Article
- Unseen Artificial Intelligence-Deep Learning Paradigm for Segmentation of Low Atherosclerotic Plaque in Carotid Ultrasound: A Multicenter Cardiovascular Study.Diagnostics (Basel, Switzerland) · 2021Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
The presence of carotid arterial plaque by ultrasound enhances cardiovascular risk stratification beyond traditional risk factors. However, plaque quantification techniques require further outcomes-based investigation. The purpose of this study was to evaluate the utility of a focused carotid ultrasound protocol and novel plaque grading system developed by the American Society of Echocardiography (ASE). A retrospective analysis of 514 outpatients who were referred for coronary angiography between 2011 and 2014 was performed using a province-sponsored health database. All participants prospectively received a focused carotid ultrasound. Maximum plaque height (MPH) of arterial carotid plaque was quantified, using the Grade II-III plaque definition of MPH ≥ 1.5 mm for stratification, according to recent ASE recommendations. Participants were followed for 1.33-5.11 years (average follow-up = 3.60 ± 1.65 years) to identify the occurrence of cardiovascular events. Major events (death, myocardial infarction [MI], stroke, and transient ischemic attack [TIA]) were correlated to MPH. Participants with MPH ≥ 1.5 mm were more likely to experience stable angina, coronary artery bypass grafting, and stress testing at both 1-year and total follow-up. After adjusting for cardiac risk factors, increased MPH was shown to be predictive for TIA (odds ratio [OR] = 1.33, 95% confidence interval (CI) = 1.01-1.75); p = 0.04), whereas the odds of non-ST-elevation MI (OR = 1.55, 95% CI = 0.99-2.43; p = 0.06) approached significance. Using Kaplan-Meier survival analysis, MPH ≥ 1.5 mm demonstrated good separation for the composite outcome of death, MI, stroke, and TIA over total follow-up (p = 0.02). This rapid, office-based quantification of MPH in carotid ultrasound may serve as a stratification tool for predicting major cardiovascular events.
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Registered trials
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