ArticleOpen heart
Observer variability in the assessment of CT coronary angiography and coronary artery calcium score: substudy of the Scottish COmputed Tomography of the HEART (SCOT-HEART) trial.
Article in Open heart. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 29 papers.
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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.
Role of Multidetector Computed Tomography in the Diagnosis and Management of Patients Attending a Rapid Access Chest Pain Clinic
The Association of Ectopic Fat and Cardiovascular Disease in People Living With HIV and General Populations: A Cross Sectional Analysis
Who cites it
29 citing papers in PubMed, 46 citations in OpenAlex.
- Coronary Plaque Radiomic Phenotypes Predict Fatal or Nonfatal Myocardial Infarction: Analysis of the SCOT-HEART Trial.JACC. Cardiovascular imaging · 2025Trial
- Association of coronary artery calcium score with qualitatively and quantitatively assessed adverse plaque on coronary CT angiography in the SCOT-HEART trial.European heart journal. Cardiovascular Imaging · 2022Trial
- Sex-Specific Computed Tomography Coronary Plaque Characterization and Risk of Myocardial Infarction.JACC. Cardiovascular imaging · 2021Trial
- Trial
- Breast arterial calcification on mammography and risk of coronary artery disease: a SCOT-HEART sub-study.Clinical radiology · 2019Trial
- Coronary Artery Plaque Characteristics Associated With Adverse Outcomes in the SCOT-HEART Study.Journal of the American College of Cardiology · 2019 · on this mapTrial
- Trial
- Symptoms and quality of life in patients with suspected angina undergoing CT coronary angiography: a randomised controlled trial.Heart (British Cardiac Society) · 2017Trial
- Use of Coronary Computed Tomographic Angiography to Guide Management of Patients With Coronary Disease.Journal of the American College of Cardiology · 2016Trial
- Real-World Implementation of Artificial Intelligence: Fully Automated Coronary Artery Calcium Scoring.Korean journal of radiology · 2026Article
- Coronary atherosclerotic burden in patients with embolic stroke of undetermined source.European stroke journal · 2026Article
- Observer variabilities for the diagnosis of coronary artery disease using anatomical and functional testing: the impact of certification.Clinical research in cardiology : official journal of the German Cardiac Society · 2026Article
- Fully automated coronary artery calcium score and risk categorization from chest CT using deep learning and multiorgan segmentation: A validation study from National Lung Screening Trial (NLST).International journal of cardiology. Heart & vasculature · 2025Article
- Characterizing Nonculprit Lesions and Perivascular Adipose Tissue of Patients Following Acute Myocardial Infarction Using Coronary Computed Tomography Angiography: A Comparative Study.Journal of the American Heart Association · 2024Article
- Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis.Circulation. Cardiovascular imaging · 2024Article
- Coronary Artery Stenosis and High-Risk Plaque Assessed With an Unsupervised Fully Automated Deep Learning Technique.JACC. Advances · 2024Article
- Artificial Intelligence-based Coronary Stenosis Quantification at Coronary CT Angiography versus Quantitative Coronary Angiography.Radiology. Cardiothoracic imaging · 2023Article
- Inter- and intra-observer reproducibility of CT-Leaman score by an independent core lab.The international journal of cardiovascular imaging · 2023Article
- Convolutional neural networks on risk stratification of patients with suspected coronary artery disease undergoing coronary computed tomography angiography.The international journal of cardiovascular imaging · 2023Article
- Assessing Agreement When Agreement Is Hard to Assess-The Agatston Score for Coronary Calcification.Diagnostics (Basel, Switzerland) · 2022Review
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Authors and funding
14 authors at 8 institutions in 1 country.
Funding
Abstract
introductionObserver variability can influence the assessment of CT coronary angiography (CTCA) and the subsequent diagnosis of angina pectoris due to coronary heart disease.
methodsWe assessed 210 CTCAs from the Scottish COmputed Tomography of the HEART (SCOT-HEART) trial for intraobserver and interobserver variability. Calcium score, coronary angiography and image quality were evaluated. Coronary artery disease was defined as none (<10%), mild (10-49%), moderate (50-70%) and severe (>70%) luminal stenosis and classified as no (<10%), non-obstructive (10-70%) or obstructive (>70%) coronary artery disease. Post-CTCA diagnosis of angina pectoris due to coronary heart disease was classified as yes, probable, unlikely or no.
resultsPatients had a mean body mass index of 29 (28, 30) kg/m(2), heart rate of 58 (57, 60)/min and 62% were men. Intraobserver and interobserver agreements for the presence or absence of coronary artery disease were excellent (95% agreement, κ 0.884 (0.817 to 0.951) and good (91%, 0.791 (0.703 to 0.879)). Intraobserver and interobserver agreement for the presence or absence of angina pectoris due to coronary heart disease were excellent (93%, 0.842 (0.918 to 0.755) and good (86%, 0.701 (0.799 to 0.603)), respectively. Observer variability of calcium score was excellent for calcium scores below 1000. More segments were categorised as uninterpretable with 64-multidetector compared to 320-multidetector CTCA (10.1% vs 2.6%, p<0.001) but there was no difference in observer variability.
conclusionsMulticentre multidetector CTCA has excellent agreement in patients under investigation for suspected angina due to coronary heart disease. TRIAL REGISTRATION NUMBER: NCT01149590.
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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.