ReviewInterventional cardiology clinics2018
Computed Tomography Fractional Flow Reserve to Guide Coronary Angiography and Intervention.
Review in Interventional cardiology clinics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Real-world application of CCTA with CT-FFR for coronary assessment pre-TAVI: the CT2TAVI study.The international journal of cardiovascular imaging · 2025Observational
- Prognostic Implication of Computational Angiography-Derived Fractional Flow Reserve in Patients With Nonobstructive Coronary Artery Disease.Journal of the American Heart Association · 2025Article
- Drug coated balloons in percutaneous coronary intervention: how can computational modelling help inform evolving clinical practice?Frontiers in medical technology · 2025Review
- Current Status of Cardiac CT for Nuclear Medicine Professionals: Coronary Artery Disease Evaluation.Nuclear medicine and molecular imaging · 2024Review
- Addition of FFRct in the diagnostic pathway of patients with stable chest pain to reduce unnecessary invasive coronary angiography (FUSION) : Rationale and design for the multicentre, randomised, controlled FUSION trial.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2023Article
- Validity and Diagnostic Performance of Computing Fractional Flow Reserve From 2-Dimensional Coronary Angiography Images.Texas Heart Institute journal · 2023Article
- The Role of Novel Cardiac Imaging for Contemporary Management of Heart Failure.Journal of clinical medicine · 2022Review
- Case Report: Invasive and Non-invasive Hemodynamic Assessment of Coronary Artery Disease: Strengths and Weaknesses.Frontiers in cardiovascular medicine · 2022Article
- [Update on coronary CT-more than just anatomical imaging? : Current guidelines and functional CT techniques for the quantification of stenoses].Der Radiologe · 2020Review
- [Evaluation of Myocardial Ischemia Using Coronary Computed Tomography Angiography in Patients with Stable Angina].Taehan Yongsang Uihakhoe chi · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Computed tomography angiography (CTA) has played a significant role in evaluation of coronary artery disease in the last decade and has demonstrated high sensitivity and negative predictive values. However, the positive predictive value as compared with invasive fractional flow reserve (FFR) is limited. CT-FFR has emerged as a disruptive noninvasive technology with higher specificity and diagnostic accuracy for detection of hemodynamically significant coronary lesions as compared with invasive FFR than conventional coronary CTA. CT-FFR has been shown to be cost-effective as a gate-keeper to invasive coronary angiography and has the potential to limit unnecessary invasive angiography studies.
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.