ArticleEuropean radiology2021
A 2-year investigation of the impact of the computed tomography-derived fractional flow reserve calculated using a deep learning algorithm on routine decision-making for coronary artery disease management.
Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 36 citations in OpenAlex.
- Clinical Management Across CAD-RADS Categories in Patients with Intermediate CT-FFR.Journal of cardiovascular development and disease · 2026Article
- Clinical use of coronary computed tomography angiography-derived fractional flow reserve: expert consensus by an International Working Group.European radiology · 2026Article
- CT-derived fractional flow reserve combined with atherosclerotic extent to determine long-term outcomes in diabetic patients with coronary artery disease.Journal of geriatric cardiology : JGC · 2026Article
- Impact of Diabetes on Management and Outcomes in Patients with Borderline FFRJournal of cardiovascular development and disease · 2025Article
- Long-term prognostic value of the CT-derived fractional flow reserve combined with atherosclerotic burden in patients with non-obstructive coronary artery disease.European radiology · 2025Article
- Computed Tomography and Coronary Plaque Analysis.Tomography (Ann Arbor, Mich.) · 2025Review
- Prognostic Significance of Computed Tomography-Derived Fractional Flow Reserve for Long-Term Outcomes in Individuals With Coronary Artery Disease.Journal of the American Heart Association · 2025Article
- Article
- Coronary artery disease classification using ConvMixer based classifier from CT angiography images.PeerJ. Computer science · 2025Article
- Artificial intelligence-assisted measurements of coronary computed tomography angiography parameters such as stenosis, flow reserve, and fat attenuation for predicting major adverse cardiac events in patients with coronary arterial disease.Biomolecules & biomedicine · 2024Article
- Cardiovascular computed tomography in cardiovascular disease: An overview of its applications from diagnosis to prediction.Journal of geriatric cardiology : JGC · 2024Article
- Epidemiology and current management of cardiovascular disease in China.Journal of geriatric cardiology : JGC · 2024Article
- The Role of Fluid Mechanics in Coronary Atherosclerotic Plaques: An Up-to-Date Review.Reviews in cardiovascular medicine · 2024Review
- Value of CT‑derived fractional flow reserve in identifying patients with acute myocardial infarction based on coronary computed tomography angiography.Experimental and therapeutic medicine · 2023Article
- Energy loss is related to CT fractional flow reserve progression in type 2 diabetes mellitus patients.American heart journal plus : cardiology research and practice · 2023Article
- Combination of coronary CT angiography, FFRClinical cardiology · 2023Article
- Is it the Time to Move Towards Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve Guided Percutaneous Coronary Intervention? The Pros and Cons.Current cardiology reviews · 2023Review
- Impact of coronary computed tomography angiography-derived fractional flow reserve based on deep learning on clinical management.Frontiers in cardiovascular medicine · 2023Article
- Artificial intelligence for strengthening healthcare systems in low- and middle-income countries: a systematic scoping review.NPJ digital medicine · 2022Article
- Detecting Coronary Artery Disease from Computed Tomography Images Using a Deep Learning Technique.Diagnostics (Basel, Switzerland) · 2022Article
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Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
Abstract
objectiveThis study aims to investigate the safety and feasibility of using a deep learning algorithm to calculate computed tomography angiography-based fractional flow reserve (DL-FFRCT) as an alternative to invasive coronary angiography (ICA) in the selection of patients for coronary intervention. MATERIALS AND
methodsPatients (N = 296) with symptomatic coronary artery disease identified by coronary computed tomography angiography (CTA) with stenosis over 50% were retrospectively enrolled from a single centre in this study. ICA-guided interventions were performed in patients at admission, and DL-FFRCT was conducted retrospectively. The influences on decision-making by using DL-FFRCT and the clinical outcome were compared to those of ICA-guided care for symptomatic CAD at the 2-year follow-up evaluation.
resultTwo hundred forty-three patients were evaluated. Up to 72% of diagnostic ICA studies could have been avoided by using a DL-FFRCT value > 0.8 as a cut-off for intervention. A similar major adverse cardiovascular event (MACE) rate was observed in patients who underwent revascularisation with a DL-FFRCT value ≤ 0.8 (2.9%) compared to that of ICA-guided interventions (3.3%) (stented lesions with ICA stenosis > 75%) (p = 0.838).
conclusionDL-FFRCT can reduce the need for diagnostic coronary angiography when identifying patients suitable for coronary intervention. A low MACE rate was found in a 2-year follow-up investigation. KEY POINTS: • Seventy-two percent of diagnostic ICA studies could have been avoided by using a DL-FFRCT value > 0.8 as a cut-off for intervention. • Coronary artery stenting based on the diagnosis by using a 320-detector row CT scanner and a positive DL-FFRCT value could potentially be associated with a lower occurrence rate of major adverse cardiovascular events (2.9%) within the first 2 years. • A low event rate was found when intervention was performed in tandem lesions with haemodynamic significance based on DL-FFRCT < 0.8 as a cut-off value.
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