ArticleEuropean radiology2015
Coronary CT angiography-derived fractional flow reserve correlated with invasive fractional flow reserve measurements--initial experience with a novel physician-driven algorithm.
Article in European radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02805621 (Machine leArning Based CT angiograpHy derIved FFR a Multi-ceNtEr, Registry), which is not on this map. Cited by 26 papers, 1 of them a synthesis 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.
Machine leArning Based CT angiograpHy derIved FFR a Multi-ceNtEr, Registry
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.
- Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in ischemia-causing coronary stenosis: a meta-analysis.Japanese journal of radiology · 2016Pooled it
- Feasibility of On-Site CT-FFR Analysis in Ruling Out In-Stent Restenosis on Cardiac PCCT.Journal of cardiovascular development and disease · 2026Article
- Angiography versus angio-based fractional flow in assessing intracranial vertebrobasilar artery stenosis.European radiology · 2026Article
- Clinical Impact of CT-Based FFR in Everyday Cardiology: Bridging Computation and Decision-Making.Biomedicines · 2025Review
- A novel physics-based model for fast computation of blood flow in coronary arteries.Biomedical engineering online · 2023Article
- Diagnostic performance of computational fluid dynamics (CFD)-based fractional flow reserve (FFR) derived from coronary computed tomographic angiography (CCTA) for assessing functional severity of coronary lesions.Quantitative imaging in medicine and surgery · 2023Article
- A novel method for noninvasive quantification of fractional flow reserve based on the custom function.Frontiers in bioengineering and biotechnology · 2023Article
- Prevalence of pathological FFREuropean radiology · 2021Article
- Serial coronary CT angiography-derived fractional flow reserve and plaque progression can predict long-term outcomes of coronary artery disease.European radiology · 2021Article
- Diagnostic accuracy of coronary computed tomography angiography-derived fractional flow reserve.Biomedical engineering online · 2021Article
- Diagnostic Performance of a Machine Learning-Based CT-Derived FFR in Detecting Flow-Limiting Stenosis.Arquivos brasileiros de cardiologia · 2021Article
- Coronary Blood Flow Measurement in Conventional Coronary Angiograms by a New Method Based on Contrast Density Detection. A Physiological Insight.Arquivos brasileiros de cardiologia · 2020Article
- The effects of clinically-derived parametric data uncertainty in patient-specific coronary simulations with deformable walls.International journal for numerical methods in biomedical engineering · 2020Article
- 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
- Computational instantaneous wave-free ratio (IFR) for patient-specific coronary artery stenoses using 1D network models.International journal for numerical methods in biomedical engineering · 2019Article
- Non-invasive coronary CT angiography-derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies.International journal for numerical methods in biomedical engineering · 2019Article
- Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR.The international journal of cardiovascular imaging · 2018Article
- Fractional Flow Reserve Derived from Coronary Computed Tomography Angiography Datasets: The Next Frontier in Noninvasive Assessment of Coronary Artery Disease.BioMed research international · 2018Review
- Myocardial blood flow quantification for evaluation of coronary artery disease by computed tomography.Cardiovascular diagnosis and therapy · 2017Review
- The effect of blood pressure on non-invasive fractional flow reserve derived from coronary computed tomography angiography.European radiology · 2017Observational
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe present study aimed to determine the feasibility of a novel fractional flow reserve (FFR) algorithm based on coronary CT angiography (cCTA) that permits point-of-care assessment, without data transfer to core laboratories, for the evaluation of potentially ischemia-causing stenoses.
methodsTo obtain CT-based FFR, anatomical coronary information and ventricular mass extracted from cCTA datasets were integrated with haemodynamic parameters. CT-based FFR was assessed for 36 coronary artery stenoses in 28 patients in a blinded fashion and compared to catheter-based FFR. Haemodynamically relevant stenoses were defined by an invasive FFR ≤0.80. Time was measured for the processing of each cCTA dataset and CT-based FFR computation. Assessment of cCTA image quality was performed using a 5-point scale.
resultsMean total time for CT-based FFR determination was 51.9 ± 9.0 min. Per-vessel analysis for the identification of lesion-specific myocardial ischemia demonstrated good correlation (Pearson's product-moment r = 0.74, p < 0.0001) between the prototype CT-based FFR algorithm and invasive FFR. Subjective image quality analysis resulted in a median score of 4 (interquartile ranges, 3-4).
conclusionsOur initial data suggest that the CT-based FFR method for the detection of haemodynamically significant stenoses evaluated in the selected population correlates well with invasive FFR and renders time-efficient point-of-care assessment possible. KEY POINTS: • CT-based FFR computation is a promising novel non-invasive application. • A novel prototype algorithm permits time-efficient point-of-care CT-based FFR assessment. • Initial results of the CT-based FFR prototype algorithm compare favourably with FFR.
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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.