ArticleEuropean heart journal. Cardiovascular Imaging2024
Impact of atherosclerosis imaging-quantitative computed tomography on diagnostic certainty, downstream testing, coronary revascularization, and medical therapy: the CERTAIN study.
Article in European heart journal. Cardiovascular Imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Coronary plaque burden assessed by coronary CT angiography in individuals with type 1 diabetes and healthy controls.The international journal of cardiovascular imaging · 2026Article
- Coronary Computed Tomography and Artificial Intelligence-based Plaque Analysis.Current atherosclerosis reports · 2026Review
- Quantitative Coronary Atherosclerotic Plaque Burden From CCTA and the Benefit From Lipid-Lowering Medication.Circulation. Cardiovascular imaging · 2026Observational
- Innovations In Artificial Intelligence-Guided Atherosclerosis Cardiovascular Imaging: From Detection to Prognosis.Current atherosclerosis reports · 2026Review
- AI-enhanced coronary CTA for optimizing surgical planning in CABG: a new frontier in preoperative assessment?European heart journal. Imaging methods and practice · 2026Article
- Precision medicine and personalized nursing in cardiovascular disease: clinical applications and frontier developments.Frontiers in cardiovascular medicine · 2026Review
- Artificial intelligence in coronary CT angiography: transforming the diagnosis and risk stratification of atherosclerosis.The international journal of cardiovascular imaging · 2025Review
- First comparison between artificial intelligence-guided coronary computed tomography angiography versus single-photon emission computed tomography testing for ischemia in clinical practice.Coronary artery disease · 2025Article
- The role of cardiac imaging in the post-ISCHEMIA world.The British journal of radiology · 2025Review
- Artificial Intelligence in Imaging for Personalized Management of Coronary Artery Disease.Journal of clinical medicine · 2025Review
- Diagnostic accuracy in coronary CT angiography analysis: artificial intelligence versus human assessment.Open heart · 2025Article
- Cardiovascular imaging in 2024: review of current research and innovations.European heart journal. Imaging methods and practice · 2025Review
- A Promising Pathway Toward Mitigation and Eradication of Coronary Artery Disease.Cardiology research · 2024Review
- Digital health innovation and artificial intelligence in cardiovascular care: a case-based review.NPJ cardiovascular health · 2024Review
- Performance of an artificial intelligence-guided quantitative coronary computed tomography algorithm for predicting myocardial ischemia in real-world practice.International journal of cardiology. Heart & vasculature · 2024Article
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Authors and funding
16 authors.
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Abstract
aimsThe incremental impact of atherosclerosis imaging-quantitative computed tomography (AI-QCT) on diagnostic certainty and downstream patient management is not yet known. The aim of this study was to compare the clinical utility of the routine implementation of AI-QCT versus conventional visual coronary CT angiography (CCTA) interpretation. METHODS AND
resultsIn this multi-centre cross-over study in 5 expert CCTA sites, 750 consecutive adult patients referred for CCTA were prospectively recruited. Blinded to the AI-QCT analysis, site physicians established patient diagnoses and plans for downstream non-invasive testing, coronary intervention, and medication management based on the conventional site assessment. Next, physicians were asked to repeat their assessments based upon AI-QCT results. The included patients had an age of 63.8 ± 12.2 years; 433 (57.7%) were male. Compared with the conventional site CCTA evaluation, AI-QCT analysis improved physician's confidence two- to five-fold at every step of the care pathway and was associated with change in diagnosis or management in the majority of patients (428; 57.1%; P < 0.001), including for measures such as Coronary Artery Disease-Reporting and Data System (CAD-RADS) (295; 39.3%; P < 0.001) and plaque burden (197; 26.3%; P < 0.001). After AI-QCT including ischaemia assessment, the need for downstream non-invasive and invasive testing was reduced by 37.1% (P < 0.001), compared with the conventional site CCTA evaluation. Incremental to the site CCTA evaluation alone, AI-QCT resulted in statin initiation/increase an aspirin initiation in an additional 28.1% (P < 0.001) and 23.0% (P < 0.001) of patients, respectively.
conclusionThe use of AI-QCT improves diagnostic certainty and may result in reduced downstream need for non-invasive testing and increased rates of preventive medical therapy.
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