Trial reportEuropean heart journal2016
Coronary plaque quantification and fractional flow reserve by coronary computed tomography angiography identify ischaemia-causing lesions.
Trial report in European heart journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04547231 (Impact of Stenosis and Plaque Features in Coronary CT Angiography, Physiologic Assessment and Pharmacotherapy on the Clinical Outcomes After Invasive Coronary Angiography), which is not on this map. Cited by 147 papers, 5 of them syntheses that pooled it.
What it found
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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.
Impact of Stenosis and Plaque Features in Coronary CT Angiography, Physiologic Assessment and Pharmacotherapy on the Clinical Outcomes After Invasive Coronary Angiography
Who cites it
147 citing papers in PubMed, 5 syntheses or guidelines pooled it, 285 citations in OpenAlex.
- Influence of plaque characteristics by coronary computed tomography angiography on lesion-specific ischemia: a systematic review and meta-analysis.European radiology · 2025Pooled it
- Prognostic value of coronary computed tomography angiographic derived fractional flow reserve: a systematic review and meta-analysis.Heart (British Cardiac Society) · 2022Pooled it
- Development and application of artificial intelligence in cardiac imaging.The British journal of radiology · 2020Pooled it
- Computed tomography angiography-derived fractional flow reserve (CT-FFR) for the detection of myocardial ischemia with invasive fractional flow reserve as reference: systematic review and meta-analysis.European radiology · 2020Pooled it
- A systematic review of imaging anatomy in predicting functional significance of coronary stenoses determined by fractional flow reserve.The international journal of cardiovascular imaging · 2017Pooled it
- Machine Learning From Quantitative Coronary Computed Tomography Angiography Predicts Fractional Flow Reserve-Defined Ischemia and Impaired Myocardial Blood Flow.Circulation. Cardiovascular imaging · 2022Trial
- Predicting Chronic Myocardial Ischemia Using CCTA-Based Radiomics Machine Learning Nomogram.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022Trial
- Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study.European radiology · 2018Trial
- Testosterone Treatment and Coronary Artery Plaque Volume in Older Men With Low Testosterone.JAMA · 2017Trial
- Non-invasive Computational Techniques for Diagnosing Myocardial Ischemia: Challenges and Future of FFRAnnals of biomedical engineering · 2026Review
- Advanced quantitative CT for coronary artery disease: integrating stenosis quantification, plaque quantification, and fractional flow reserve-CT.The British journal of radiology · 2026Review
- Association of physiological discordance between fractional flow reserve and non-hyperaemic pressure ratios with lipid-rich plaque burden.European heart journal open · 2026Article
- Prognostic implications of functional significance, high-risk plaque and vessel characteristics in patients with diabetes mellitus.The Korean journal of internal medicine · 2026Article
- Artificial intelligence-guided quantitative coronary CT assessment to rule-in or rule-out myocardial ischaemia.European heart journal. Cardiovascular Imaging · 2026Article
- Coronary CT Angiography-Based Prediction Model for Hemodynamically Significant Coronary Stenosis Integrating Morphological and Plaque Characteristics.Cardiovascular engineering and technology · 2026Article
- Article
- Coronary Computed Tomography Angiography Atherosclerotic Plaque Volume as A Predictor of Myocardial Blood Flow Impairment in Non-Obstructive Coronary Artery Disease.Reviews in cardiovascular medicine · 2025Article
- Comparison of magnetocardiography and coronary computed tomographic angiography for detection of coronary artery stenosis and the influence of calcium.European radiology · 2025Article
- The Emerging Role of Computed Tomography Coronary Angiography in the Left Main Stem Percutaneous Coronary Intervention.Reviews in cardiovascular medicine · 2025Review
- QUIET WARRIOR - Rationale and design: An ancillary study to the Women's IschemiA TRial to Reduce Events in Nonobstructive CAD (WARRIOR).American heart journal plus : cardiology research and practice · 2025Article
87 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
16 authors at 7 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsCoronary plaque characteristics are associated with ischaemia. Differences in plaque volumes and composition may explain the discordance between coronary stenosis severity and ischaemia. We evaluated the association between coronary stenosis severity, plaque characteristics, coronary computed tomography angiography (CTA)-derived fractional flow reserve (FFRCT), and lesion-specific ischaemia identified by FFR in a substudy of the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps). METHODS AND
resultsCoronary CTA stenosis, plaque volumes, FFRCT, and FFR were assessed in 484 vessels from 254 patients. Stenosis >50% was considered obstructive. Plaque volumes (non-calcified plaque [NCP], low-density NCP [LD-NCP], and calcified plaque [CP]) were quantified using semi-automated software. Optimal thresholds of quantitative plaque variables were defined by area under the receiver-operating characteristics curve (AUC) analysis. Ischaemia was defined by FFR or FFRCT ≤0.80. Plaque volumes were inversely related to FFR irrespective of stenosis severity. Relative risk (95% confidence interval) for prediction of ischaemia for stenosis >50%, NCP ≥185 mm(3), LD-NCP ≥30 mm(3), CP ≥9 mm(3), and FFRCT ≤0.80 were 5.0 (3.0-8.3), 3.7 (2.4-5.6), 4.6 (2.9-7.4), 1.4 (1.0-2.0), and 13.6 (8.4-21.9), respectively. Low-density NCP predicted ischaemia independent of other plaque characteristics. Low-density NCP and FFRCT yielded diagnostic improvement over stenosis assessment with AUCs increasing from 0.71 by stenosis >50% to 0.79 and 0.90 when adding LD-NCP ≥30 mm(3) and LD-NCP ≥30 mm(3) + FFRCT ≤0.80, respectively.
conclusionStenosis severity, plaque characteristics, and FFRCT predict lesion-specific ischaemia. Plaque assessment and FFRCT provide improved discrimination of ischaemia compared with stenosis assessment alone.
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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.