ArticleJACC. Cardiovascular imaging2015
Atherosclerotic plaque characteristics by CT angiography identify coronary lesions that cause ischemia: a direct comparison to fractional flow reserve.
Article in JACC. Cardiovascular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01233518 (Determination of Fractional Flow Reserve by Anatomic Computed Tomographic Angiography), which is not on this map. Cited by 115 papers, 3 of them syntheses that pooled it.
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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.
Determination of Fractional Flow Reserve by Anatomic Computed Tomographic Angiography
Who cites it
115 citing papers in PubMed, 3 syntheses or guidelines pooled it, 282 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
- Diagnostic performance of cardiac imaging methods to diagnose ischaemia-causing coronary artery disease when directly compared with fractional flow reserve as a reference standard: a meta-analysis.European heart journal · 2017Pooled it
- Pooled 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
- Relationship Between Endothelial Wall Shear Stress and High-Risk Atherosclerotic Plaque Characteristics for Identification of Coronary Lesions That Cause Ischemia: A Direct Comparison With Fractional Flow Reserve.Journal of the American Heart Association · 2016Trial
- Coronary plaque quantification and fractional flow reserve by coronary computed tomography angiography identify ischaemia-causing lesions.European heart journal · 2016Trial
- 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
- Chronic ischemic heart disease: A nonuniform syndrome.American heart journal plus : cardiology research and practice · 2026Review
- Fractional Flow Reserve from Coronary CT: Evidence, Applications, and Future Directions.Journal of cardiovascular development and disease · 2025Review
- Quantitative Coronary Artery Plaque Parameters and Severity of Ischemia in Patients With INOCA.Circulation. Cardiovascular imaging · 2025Article
- 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
- Diagnostic performance of wireless fractional flow reserve: a meta-analysis.Archives of medical science : AMS · 2025Review
- Machine Learning for Evaluating Vulnerable Plaque on Coronary Computed Tomography Using Spectral Imaging.Circulation reports · 2024Article
- Current Status of Cardiac CT for Nuclear Medicine Professionals: Coronary Artery Disease Evaluation.Nuclear medicine and molecular imaging · 2024Review
- The Role of Cardiac Computed Tomography Angiography in Risk Stratification for Coronary Artery Disease.Journal of the Society for Cardiovascular Angiography & Interventions · 2024Review
- Computed Tomography Evaluation of Coronary Atherosclerosis: The Road Travelled, and What Lies Ahead.Diagnostics (Basel, Switzerland) · 2024Review
- Change in Pd/Pa: Clinical Implications for Predicting Future Cardiac Events at Deferred Coronary Lesions.Circulation. Cardiovascular interventions · 2024Article
55 more citing papers are in PubMed but not listed here.
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Authors and funding
15 authors at 10 institutions in 5 countries.
Funding
Abstract
objectivesThis study evaluated the association between atherosclerotic plaque characteristics (APCs) by coronary computed tomographic angiography (CTA), and lesion ischemia by fractional flow reserve (FFR).
backgroundFFR is the gold standard for determining lesion ischemia. Although APCs by CTA-including aggregate plaque volume % (%APV), positive remodeling (PR), low attenuation plaque (LAP), and spotty calcification (SC)-are associated with future coronary syndromes, their relationship to lesion ischemia is unclear.
methods252 patients (17 centers, 5 countries; mean age 63 years; 71% males) underwent coronary CTA, with FFR performed for 407 coronary lesions. Coronary CTA was interpreted for <50% and ≥50% stenosis, with the latter considered obstructive. APCs by coronary CTA were defined as: 1) PR, lesion diameter/reference diameter >1.10; 2) LAP, any voxel <30 Hounsfield units; and 3) SC, nodular calcified plaque <3 mm. Odds ratios (OR) and net reclassification improvement of APCs for lesion ischemia, defined by FFR ≤0.8, were analyzed.
resultsBy FFR, ischemia was present in 151 lesions (37%). %APV was associated with a 50% increased risk of ischemia per 5% additional APV. PR, LAP, and SC were associated with ischemia, with a 3 to 5 times higher prevalence than in nonischemic lesions. In multivariable analyses, a stepwise increased risk of ischemia was observed for 1 (OR: 4.0, p < 0.001) and ≥2 (OR: 12.1, p < 0.001) APCs. These findings were APC dependent, with PR (OR: 5.3, p < 0.001) and LAP (OR: 2.1, p = 0.038) associated with ischemia, but not SC. When examined by stenosis severity, PR remained a predictor of ischemia for all lesions, whereas %APV and LAP were associated with ischemia for only ≥50%, but not for <50%, stenosis.
conclusions%APV and APCs by coronary CTA improve identification of coronary lesions that cause ischemia. PR is associated with all ischemia-causing lesions, whereas %APV and LAP are only associated with ischemia-causing lesions ≥50%. (Determination of Fractional Flow Reserve by Anatomic Computed Tomographic Angiography; NCT01233518).
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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.