ArticleClinical research in cardiology : official journal of the German Cardiac Society2020
Correlation of machine learning computed tomography-based fractional flow reserve with instantaneous wave free ratio to detect hemodynamically significant coronary stenosis.
Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Functional Coronary Artery Assessment: a Systematic Literature Review.Wiener klinische Wochenschrift · 2022Pooled it
- The diagnostic performance of machine learning-based FFRCT for coronary artery disease: A meta-analysis.Open medicine (Warsaw, Poland) · 2025Article
- CT coronary fractional flow reserve based on artificial intelligence using different software: a repeatability study.BMC medical imaging · 2024Article
- Advanced CT measures of coronary artery disease with intermediate stenosis in patients with severe aortic valve stenosis.European radiology · 2024Article
- [Research progress on image-based calculation of coronary artery fractional flow reserve].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023Article
- [Morphological and functional diagnostics of coronary artery disease by computed tomography].Herz · 2023Review
- Feasibility and Comparison of Resting Full-Cycle Ratio and Computed Tomography Fractional Flow Reserve in Patients with Severe Aortic Valve Stenosis.Journal of cardiovascular development and disease · 2022Article
- Machine learning applications in cardiac computed tomography: a composite systematic review.European heart journal open · 2022Review
- Diagnostic performance of deep learning and computational fluid dynamics-based instantaneous wave-free ratio derived from computed tomography angiography.BMC cardiovascular disorders · 2022Observational
- Stable patients with suspected myocardial ischemia: comparison of machine-learning computed tomography-based fractional flow reserve and stress perfusion cardiovascular magnetic resonance imaging to detect myocardial ischemia.BMC cardiovascular disorders · 2022Observational
- Case Report: Invasive and Non-invasive Hemodynamic Assessment of Coronary Artery Disease: Strengths and Weaknesses.Frontiers in cardiovascular medicine · 2022Article
- Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI.Clinical research in cardiology : official journal of the German Cardiac Society · 2021Article
- Impact of machine-learning CT-derived fractional flow reserve for the diagnosis and management of coronary artery disease in the randomized CRESCENT trials.European radiology · 2020Observational
- Comparison of Machine Learning Computed Tomography-Based Fractional Flow Reserve and Coronary CT Angiography-Derived Plaque Characteristics with Invasive Resting Full-Cycle Ratio.Journal of clinical medicine · 2020Article
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFractional flow reserve based on coronary CT angiography (CT-FFR) is gaining importance for non-invasive hemodynamic assessment of coronary artery disease (CAD). We evaluated the on-site CT-FFR with a machine learning algorithm (CT-FFR
methodsThis study evaluated patients with CAD who had a clinically indicated coronary computed tomography angiography (cCTA) and underwent invasive coronary angiography (ICA) with iFR
resultsWe enrolled 40 patients (73% males, mean age 67 ± 12 years) who had iFR
conclusionOn-site CT-FFR
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