ArticleEuropean heart journal. Cardiovascular Imaging2017
Quantitative global plaque characteristics from coronary computed tomography angiography for the prediction of future cardiac mortality during long-term follow-up.
Article in European heart journal. Cardiovascular Imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.
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Who cites it
62 citing papers in PubMed, 1 synthesis or guideline pooled it, 120 citations in OpenAlex.
- SCCT 2021 Expert Consensus Document on Coronary Computed Tomographic Angiography: A Report of the Society of Cardiovascular Computed Tomography.Journal of cardiovascular computed tomographyGuideline
- Coronary Plaque Radiomic Phenotypes Predict Fatal or Nonfatal Myocardial Infarction: Analysis of the SCOT-HEART Trial.JACC. Cardiovascular imaging · 2025Trial
- Diagnostic Performance of AI-enabled Plaque Quantification from Coronary CT Angiography Compared with Intravascular Ultrasound.Radiology. Cardiothoracic imaging · 2024Trial
- Trial
- Repeatability of quantitative pericoronary adipose tissue attenuation and coronary plaque burden from coronary CT angiography.Journal of cardiovascular computed tomographyTrial
- Inflammatory biomarkers show sex-specific associations with cardiometabolic disease and coronary atherosclerosis as assessed by coronary CT angiography.American journal of preventive cardiology · 2027Article
- Advanced quantitative CT for coronary artery disease: integrating stenosis quantification, plaque quantification, and fractional flow reserve-CT.The British journal of radiology · 2026Review
- Artificial intelligence-enabled plaque characterization from coronary computed tomography establishes basis of angina in women with nonobstructive atherosclerosis.Communications medicine · 2026Article
- Deep Learning-based Automated Coronary Plaque Quantification: First Demonstration With Ultra-high Resolution Photon-counting Detector CT at Different Temporal Resolutions.Investigative radiology · 2026Article
- Ultra-low-dose coronary CT angiography via super-resolution deep learning reconstruction: impact on image quality, coronary plaque, and stenosis analysis.European radiology · 2025Article
- Age-stratified differences in coronary artery plaque phenotypes in women and men with non-obstructive coronary artery disease.Open heart · 2025Article
- Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis.Circulation. Cardiovascular imaging · 2024Article
- Coronary computed tomographic angiography-derived anatomic and hemodynamic plaque characteristics in prediction of cardiovascular events.The international journal of cardiovascular imaging · 2024Article
- Noninvasive Atherosclerotic Phenotyping: The Next Frontier into Understanding the Pathobiology of Coronary Artery Disease.Current atherosclerosis reports · 2024Review
- Transgender Women With Suppressed Testosterone Display Lower Burden of Coronary Disease Than Matched Cisgender Men.Journal of the Endocrine Society · 2024Article
- Computed Tomography Angiography Characteristics of Thin-Cap Fibroatheroma in Patients With Diabetes.Journal of the American Heart Association · 2024Article
- Compositional plaque progression in women and men with non-obstructive coronary artery disease.International journal of cardiology. Heart & vasculature · 2024Article
- Mixed plaque on coronary CT angiography predicts atherosclerotic events in asymptomatic intermediate-risk individuals.Open heart · 2024Article
- Atherosclerotic plaque features relevant to rupture-risk detected by clinical photon-counting CT ex vivo: a proof-of-concept study.European radiology experimental · 2024Article
- Advances in Artificial Intelligence-Assisted Coronary Computed Tomographic Angiography for Atherosclerotic Plaque Characterization.Reviews in cardiovascular medicine · 2024Review
2 more citing papers are in PubMed but not listed here.
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Authors and funding
15 authors at 4 institutions in 2 countries.
Funding
Abstract
aimsAdverse plaque characteristics determined by coronary computed tomography angiography (CTA) have been associated with future cardiac events. Our aim was to investigate whether quantitative global per-patient plaque characteristics from coronary CTA can predict subsequent cardiac death during long-term follow-up. METHODS AND
resultsOut of 2748 patients without prior history of coronary artery disease undergoing CTA with dual-source CT, 32 patients suffered cardiac death (mean follow-up of 5 ± 2 years). These patients were matched to 32 controls by age, gender, risk factors, and symptoms (total 64 patients, 59% male, age 69 ± 10 years). Coronary CTA data sets were analysed by semi-automated software to quantify plaque characteristics over the entire coronary tree, including total plaque volume, volumes of non-calcified plaque (NCP), low-density non-calcified plaque (LD-NCP, attenuation <30 Hounsfield units), calcified plaque (CP), and corresponding burden (plaque volume × 100%/vessel volume), as well as stenosis and contrast density difference (CDD, maximum percent difference in luminal attenuation/cross-sectional area compared to proximal cross-section). In patients who died from cardiac cause, NCP, LD-NCP, CP and total plaque volumes, quantitative stenosis, and CDD were significantly increased compared to controls (P < 0.025 for all). NCP > 146 mm³ [hazards ratio (HR) 2.24; 1.09-4.58; P = 0.027], LD-NCP > 10.6 mm³ (HR 2.26; 1.11-4.63; P = 0.025), total plaque volume > 179 mm³ (HR 2.30; 1.12-4.71; P = 0.022), and CDD > 35% in any vessel (HR 2.85;1.4-5.9; P = 0.005) were associated with increased risk of future cardiac death, when adjusted for segment involvement score.
conclusionAmong quantitative global plaque characteristics, total, non-calcified, and low-density plaque volumes as well as CDD predict cardiac death in long-term follow-up.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.