Observational studyOpen heart2020
Clinical use of 4D flow MRI for quantification of aortic regurgitation.
Observational study in Open heart, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 35 citations in OpenAlex.
- 4D-Flow Cardiac Magnetic Resonance Imaging: An 8-Year Clinical Practice Review.Reviews in cardiovascular medicine · 2026Review
- Total Regurgitant Fraction to Predict Aortic Valve Surgery in Patients With Concomitant Aortic and Mitral Regurgitation.Cardiology research · 2025Article
- Performance of respiratory gated 4D flow MRI with adaptive k-space reordering in healthy controls and aortic dissection: reproducibility and agreement with 2D phase contrast MRI.The international journal of cardiovascular imaging · 2025Article
- Comprehensive 4D-flow cardiac magnetic resonance evaluation of the descending thoracic aorta in aortic regurgitation.European heart journal. Imaging methods and practice · 2025Article
- Assessing Regurgitation Severity, Adverse Remodeling, and Fibrosis with CMR in Aortic Regurgitation.Current cardiology reports · 2024Review
- Methods of ex vivo analysis of tissue status in vascularized composite allografts.Journal of translational medicine · 2023Review
- A clinician's guide to understanding aortic 4D flow MRI.Insights into imaging · 2023Review
- Super-resolution 4D flow MRI to quantify aortic regurgitation using computational fluid dynamics and deep learning.The international journal of cardiovascular imaging · 2023Article
- Feasibility of Wave Intensity Analysis from 4D Cardiovascular Magnetic Resonance Imaging Data.Bioengineering (Basel, Switzerland) · 2023Article
- Calibration of patient-specific boundary conditions for coupled CFD models of the aorta derived from 4D Flow-MRI.Frontiers in bioengineering and biotechnology · 2023Article
- Accelerated sequences of 4D flow MRI using GRAPPA and compressed sensing: A comparison against conventional MRI and computational fluid dynamics.Magnetic resonance in medicine · 2022Article
- Aortic regurgitation: A multimodality approach.Journal of clinical ultrasound : JCU · 2022Review
- Quantitative evaluation of aortic valve regurgitation in 4D flow cardiac magnetic resonance: at which level should we measure?BMC medical imaging · 2022Article
- Rationale and clinical applications of 4D flow cardiovascular magnetic resonance in assessment of valvular heart disease: a comprehensive review.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022Review
- The Role of Cardiac Magnetic Resonance in Aortic Stenosis and Regurgitation.Journal of cardiovascular development and disease · 2022Review
- Advanced cardiovascular multimodal imaging and aortic stenosis.Heart failure reviews · 2022Review
- Role of Cardiovascular Magnetic Resonance in Native Valvular Regurgitation: A Comprehensive Review of Protocols, Grading of Severity, and Prediction of Valve Surgery.Frontiers in cardiovascular medicine · 2022Review
- The role of 4D flow MRI for clinical applications in cardiovascular disease: current status and future perspectives.Quantitative imaging in medicine and surgery · 2021Review
- Analysis of Turbulence Effects in a Patient-Specific Aorta with Aortic Valve Stenosis.Cardiovascular engineering and technology · 2021Article
- 4D flow imaging of the thoracic aorta: is there an added clinical value?Cardiovascular diagnosis and therapy · 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
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The main objective of the present study was to compare the use of four-dimensional (4D) flow MRI with the habitual sequence (two-dimensional phase-contrast (2DPC) MRI) for the assessment of aortic regurgitation (AR) in the clinical routine. Methods: This was a retrospective, observational cohort study of patients with varying grades of AR. For the purposes of the present study, we selected all the cases with a regurgitant fraction (RF)>5% as determined by 2DPC MRI (n=34). In all cases, both sequences (2DPC and 4D flow MRI) were acquired in a single session to ensure comparability. We compared the results of the two techniques by evaluating forward flow, regurgitant flow and regurgitation fraction. Then, the patients were divided into subgroups to determine if these factors had any influence on the measurements: aortic diameter (≤ vs >38 mm), valve anatomy (tricuspid vs bicuspid/quadricuspid), stenosis (gradient ≥15 vs <15) and region of interest location (aortic valve vs sinotubular junction). Results: No statistically significant differences were observed between the two techniques with Pearson's correlation coefficients (r) of forward flow (r=0.826/p value<0001), regurgitant flow (r=0.866/p value<0001) and RF (r=0.761/p value<0001). Conclusions: The findings of this study confirm the value of 4D flow MRI for grading AR in clinical practice with an excellent correlation with the standard technique (2DPC MRI).
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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.