Observational studyCirculation. Cardiovascular imaging2025
AI-Quantitative CT Coronary Plaque Features Associate With a Higher Relative Risk in Women: CONFIRM2 Registry.
Observational study in Circulation. Cardiovascular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04279496 (Coronary CT Angiography Evaluation for Clinical Outcomes), which is not on this map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter
Who cites it
14 citing papers in PubMed.
- Rethinking risk: The prognostic power of coronary plaque in young women.American journal of preventive cardiology · 2026Article
- Differences of plaque burden measures on CCTA in younger men and women.American journal of preventive cardiology · 2026Article
- Age and sex specific coronary plaque characteristics among South Asians: Insights from the DILWALE CTA study.American journal of preventive cardiology · 2026Article
- Non-calcified plaque volume assessed by coronary computed tomographic angiography: prognostic significance, reproducibility, and temporal progression.European heart journal. Imaging methods and practice · 2026Article
- Review
- Association of AI-assisted quantitative coronary plaque burden and CT-derived fractional flow reserve with major adverse cardiovascular events.BMC medical imaging · 2026Article
- Biological Cardiovascular Age Derived from Coronary CTA Reports Using a Large Language Model: A Novel Predictor of Major Adverse Cardiovascular Events?Diagnostics (Basel, Switzerland) · 2026Article
- AI-driven radiomics in vascular disease: a narrative review of image analysis and clinical translation.Cardiovascular diagnosis and therapy · 2026Review
- Chronic ischemic heart disease: A nonuniform syndrome.American heart journal plus : cardiology research and practice · 2026Review
- The potential of artificial intelligence in clinical trials.European journal of clinical investigation · 2026Review
- Risk in Women Emerges at Lower Coronary Plaque Burden Than in Men: PROMISE Trial.Circulation. Cardiovascular imaging · 2026Article
- Using AI-Quantitative CT to evaluate the relationship between coronary artery calcium and segment involvement scores in quantifying coronary plaque burden.The international journal of cardiovascular imaging · 2026Article
- CT coronary angiography in the lipid clinic: a pilot study and lipidologist survey.The international journal of cardiovascular imaging · 2025Article
- Lipomatous Hypertrophy of the Interatrial Septum (LHIS) a Biomarker for Cardiovascular Protection? A Hypothesis Generating Case-Control Study.Journal of cardiovascular development and disease · 2025Article
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Authors and funding
59 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCoronary plaque features are imaging biomarkers of cardiovascular risk, but less is known about sex-specific patterns in their prognostic value. This study aimed to define sex differences in the coronary atherosclerotic phenotypes assessed by artificial intelligence-based quantitative computed tomography (AI-QCT) and the associated risk of major adverse cardiovascular events (MACEs).
methodsGlobal multicenter registry including symptomatic patients with suspicion of coronary artery disease referred for coronary computed tomography angiography. AI-QCT analyzed 16 coronary artery disease features. The primary end point was MACE defined as death, myocardial infarction, late revascularization, cerebrovascular events, unstable angina, and congestive heart failure.
resultsAmong 3551 patients (mean age, 59±12 years; 49.5% women), MACE occurred in 3.2% of women and 6.1% of men during an average follow-up of 4.8±2.2 years. The AI-QCT features total plaque volume, noncalcified plaque, calcified plaque, and percentage atheroma volume were significantly higher in men (
conclusionsThe AI-QCT plaque features, total plaque volume, noncalcified plaque, calcified plaque, and percentage atheroma volume, conferred a higher relative MACE risk in women and may prompt more aggressive antiatherosclerotic therapy and reinforced preventive interventions. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT04279496.
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