ReviewThe British journal of radiology2022
Four-dimensional flow CMR in tetralogy of fallot: current perspectives.
Review in The British journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- Repaired tetralogy of Fallot across adulthood: from right ventricular remodelling to targeted intervention.Heart failure reviews · 2026Review
- Computed tomography and magnetic resonance imaging findings in congenital cardiovascular anomalies.Diagnostic and interventional radiology (Ankara, Turkey) · 2026Review
- 4D Flow Yields Similar Clinical Results Compared To 2D Phase Contrast for Decision Making Regarding Pulmonary Valve Replacement in Repaired Tetralogy of Fallot.Pediatric cardiology · 2026Article
- [Clinical application of the 4D flow sequence in cardiac magnetic resonance imaging. Practical examples].Archivos de cardiologia de Mexico · 2025Review
- Cardiovascular magnetic resonance in Tetralogy of Fallot-state of the art.Cardiovascular diagnosis and therapy · 2025Review
- Diastolic Right Ventricle Dysfunction in Repaired Tetralogy of Fallot: Is it Time for 4D-Flow-MRI Parameters?JACC. Asia · 2024Article
- Flow pattern analysis of right ventricular outflow tract in repaired tetralogy of Fallot through 4D flow MRI.Heart and vessels · 2024Article
- Contemporary multimodality non-invasive cardiac imaging protocols for tetralogy of Fallot.Pediatric radiology · 2024Review
- Evolution of Surgical Management in Tetralogy of Fallot: A Historical and Contemporary Review.Heart views : the official journal of the Gulf Heart AssociationArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tetralogy of Fallot is the most common cyanotic congenital heart defect, accounting for 10% of all CHD. Despite most patients now surviving well into adulthood, morbidity and mortality rates continue to be high. Surgical and percutaneous pulmonary valve replacement are procedures that are performed to prevent long-term complications from occurring. Unfortunately, pulmonary valve replacement based on current CMR criteria does not prevent postoperative ventricular arrhythmia, heart failure, and sudden cardiac death. Thus, a more advanced and comprehensive hemodynamic evaluation is needed to better understand right ventricular (dys)function in tetralogy of Fallot patients and to optimize the timing of valve replacement. Recently, four-dimensional flow CMR has emerged as a promising and non-invasive imaging technique that can provide comprehensive quantitative evaluation of flow in an entire volume within the chest in a single imaging session. With velocity-encoding in all three spatial directions throughout the complete cardiac cycle, it can provide analysis of cardiac, pulmonary artery and aortic flow volumes, flow velocities, flow patterns, as well as more advanced hemodynamic parameters. Four-dimensional flow CMR could therefore provide insights into the complex hemodynamics of tetralogy of Fallot and could potentially provide novel criteria for pulmonary valve replacement in these patients. The aim of this review is to provide an overview of available research on four-dimensional flow CMR research in tetralogy of Fallot patients.
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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.