ArticleEuropean radiology2019
The best predictor of ischemic coronary stenosis: subtended myocardial volume, machine learning-based FFR
Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Influence of plaque characteristics by coronary computed tomography angiography on lesion-specific ischemia: a systematic review and meta-analysis.European radiology · 2025Pooled 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
- Diagnosis of coronary artery disease in patients with type 2 diabetes mellitus based on computed tomography and pericoronary adipose tissue radiomics: a retrospective cross-sectional study.Cardiovascular diabetology · 2023Trial
- Multimodal prediction of major adverse cardiovascular events in hypertensive patients with coronary artery disease: integrating pericoronary fat radiomics, CT-FFR, and clinicoradiological features.La Radiologia medica · 2025Article
- Computed Tomography Angiography in the Catheterization Laboratory: A Guide Towards Optimizing Coronary Interventions.Journal of cardiovascular development and disease · 2025Review
- The diagnostic performance of machine learning-based FFRCT for coronary artery disease: A meta-analysis.Open medicine (Warsaw, Poland) · 2025Article
- Artificial Intelligence based fractional flow reserve.Cardiology journal · 2025Review
- Differential sensitivities to blood pressure variations in internal carotid and intracranial arteries: a numerical approach to stroke prediction.Scientific reports · 2023Article
- Global trans-lesional computed tomography-derived fractional flow reserve gradient is associated with clinical outcomes in diabetic patients with non-obstructive coronary artery disease.Cardiovascular diabetology · 2023Article
- Distribution of FFRCT in single obstructive coronary stenosis and predictors for major adverse cardiac events: a propensity score matching study.BMC medical imaging · 2022Article
- Long-term prognostic value of the serial changes of CT-derived fractional flow reserve and perivascular fat attenuation index.Quantitative imaging in medicine and surgery · 2022Article
- CT Fractional Flow Reserve for the Diagnosis of Myocardial Bridging-Related Ischemia: A Study Using Dynamic CT Myocardial Perfusion Imaging as a Reference Standard.Korean journal of radiology · 2021Article
- Prognostic value of CT-derived myocardial blood flow, CT fractional flow reserve and high-risk plaque features for predicting major adverse cardiac events.Cardiovascular diagnosis and therapy · 2021Article
- Practical utilization of cardiac computed tomography for the success in complex coronary intervention.Cardiovascular intervention and therapeutics · 2021Review
- Machine Learning Quantitation of Cardiovascular and Cerebrovascular Disease: A Systematic Review of Clinical Applications.Diagnostics (Basel, Switzerland) · 2021Review
- Diagnostic performance of quantitative, semi-quantitative, and visual analysis of dynamic CT myocardial perfusion imaging: a validation study with invasive fractional flow reserve.European radiology · 2021Article
- At the heart of innovation: cardiac imaging in 2019.European radiology · 2021Article
- Impact of machine learning-based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease.European radiology · 2020Article
- Pressure-flow curve derived from coronary CT angiography for detection of significant hemodynamic stenosis.European radiology · 2020Article
- Hemodynamic Change of Coronary Atherosclerotic Plaque After Statin Treatment: A Serial Follow-Up Study by Computed Tomography-Derived Fractional Flow Reserve.Journal of the American Heart Association · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
objectivesThe present study aimed to compare the diagnostic performance of a machine learning (ML)-based FFR
methodsPatients who underwent both CCTA and FFR
resultsOne hundred eighty patients with 208 lesions were included. The lesion length (LL), diameter stenosis, area stenosis, plaque burden, V
conclusionsML-based FFR KEY POINTS: • Machine learning-based FFR
Indexed as
Identifiers
30903334What OpenQuestion holds
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.