ArticleInternational journal for numerical methods in biomedical engineering2019
Non-invasive coronary CT angiography-derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies.
Article in International journal for numerical methods in biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.
- Functional Coronary Artery Assessment: a Systematic Literature Review.Wiener klinische Wochenschrift · 2022Pooled it
- Synchronous wearable ultrasound for early detection of coronary and carotid artery comorbidity.Science advances · 2026Article
- Uncertainty Quantification and Sensitivity Analysis for Non-invasive Model-Based Instantaneous Wave-Free Ratio Prediction.International journal for numerical methods in biomedical engineering · 2025Article
- Hemodynamics of vascular shunts: trends, challenges, and prospects.Biophysical reviews · 2023Review
- Novel fast FFR derived from coronary CT angiography based on static first-pass algorithm: a comparison study.Journal of geriatric cardiology : JGC · 2023Article
- Automating fractional flow reserve (FFR) calculation from CT scans: A rapid workflow using unsupervised learning and computational fluid dynamics.International journal for numerical methods in biomedical engineering · 2022Article
- A predictive patient-specific computational model of coronary artery bypass grafts for potential use by cardiac surgeons to guide selection of graft configurations.Frontiers in cardiovascular medicine · 2022Article
- Analysis identifying minimal governing parameters for clinically accurateFrontiers in medical technology · 2022Article
- Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database.Biomechanics and modeling in mechanobiology · 2021Article
- Machine Learning Quantitation of Cardiovascular and Cerebrovascular Disease: A Systematic Review of Clinical Applications.Diagnostics (Basel, Switzerland) · 2021Review
- Application of physics-based flow models in cardiovascular medicine: Current practices and challenges.Biophysics reviews · 2021Review
- A Simple Method for Automatic 3D Reconstruction of Coronary Arteries From X-Ray Angiography.Frontiers in physiology · 2021Article
- Artificial intelligence approaches to predict coronary stenosis severity using non-invasive fractional flow reserve.Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2020Article
- Comparison of Instantaneous Wave-Free Ratio (iFR) and Fractional Flow Reserve (FFR) with respect to Their Sensitivities to Cardiovascular Factors: A Computational Model-Based Study.Journal of interventional cardiology · 2020Article
- 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
- A semi-active human digital twin model for detecting severity of carotid stenoses from head vibration-A coupled computational mechanics and computer vision method.International journal for numerical methods in biomedical engineering · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 8 institutions in 6 countries.
Funding
Abstract
Non-invasive coronary computed tomography (CT) angiography-derived fractional flow reserve (cFFR) is an emergent approach to determine the functional relevance of obstructive coronary lesions. Its feasibility and diagnostic performance has been reported in several studies. It is unclear if differences in sensitivity and specificity between these studies are due to study design, population, or "computational methodology." We evaluate the diagnostic performance of four different computational workflows for the prediction of cFFR using a limited data set of 10 patients, three based on reduced-order modelling and one based on a 3D rigid-wall model. The results for three of these methodologies yield similar accuracy of 6.5% to 10.5% mean absolute difference between computed and measured FFR. The main aspects of modelling which affected cFFR estimation were choice of inlet and outlet boundary conditions and estimation of flow distribution in the coronary network. One of the reduced-order models showed the lowest overall deviation from the clinical FFR measurements, indicating that reduced-order models are capable of a similar level of accuracy to a 3D model. In addition, this reduced-order model did not include a lumped pressure-drop model for a stenosis, which implies that the additional effort of isolating a stenosis and inserting a pressure-drop element in the spatial mesh may not be required for FFR estimation. The present benchmark study is the first of this kind, in which we attempt to homogenize the data required to compute FFR using mathematical models. The clinical data utilised in the cFFR workflows are made publicly available online.
Indexed as
Identifiers
What 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.