Evidence map›Paper›PMID 40377789›Full record

ArticleThe international journal of cardiovascular imaging2025

Reproducibility and reliability of flow quantification using CMR 2D-phase contrast and 4D-Flow in secondary mitral valve regurgitation.

Yasaman Safarkhanlo, Martina Boscolo Berto, Giancarlo Spano, Benedikt Bernhard, Jonathan Schütze, Anselm W Stark, Fabien Praz, Isaac Shiri, Alan A Peters, Christof Schaub and 5 more

Abstract readComparative Study
In one paragraph

Article in The international journal of cardiovascular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Yasaman SafarkhanloDepartment of Cardiology, Inselspital, University Hospital Bern, Bern, CH-3010, Switzerland.
Martina Boscolo BertoDepartment of Cardiology, Inselspital, University Hospital Bern, Bern, CH-3010, Switzerland.
Giancarlo SpanoDepartment of Cardiology, Inselspital, University Hospital Bern, Bern, CH-3010, Switzerland.
Benedikt BernhardDepartment of Cardiology, Inselspital, University Hospital Bern, Bern, CH-3010, Switzerland.
Jonathan SchützeDepartment of Cardiology, Inselspital, University Hospital Bern, Bern, CH-3010, Switzerland.
Anselm W StarkDepartment of Cardiology, Inselspital, University Hospital Bern, Bern, CH-3010, Switzerland.
Fabien PrazDepartment of Cardiology, Inselspital, University Hospital Bern, Bern, CH-3010, Switzerland.
Isaac ShiriDepartment of Cardiology, Inselspital, University Hospital Bern, Bern, CH-3010, Switzerland.
Alan A PetersTranslation Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.
Christof SchaubDepartment of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, University Hospital Bern, Bern, Switzerland.
Eva S PeperTranslation Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.
Chrysoula GarefaDepartment of Cardiology, Inselspital, University Hospital Bern, Bern, CH-3010, Switzerland.
Andreas WahlDepartment of Cardiology, Inselspital, University Hospital Bern, Bern, CH-3010, Switzerland.
Jessica A M BastiaansenTranslation Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.
Christoph GräniDepartment of Cardiology, Inselspital, University Hospital Bern, Bern, CH-3010, Switzerland. christoph.graeni@insel.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate quantification of mitral valve regurgitation (MVR) is crucial for patient management. While different MVR quantification methods based on cardiac magnetic resonance imaging (CMR) exist, their reproducibility and reliability remain uncertain. This study aims to evaluate the reproducibility of different CMR 2D-phase contrast (PC) and 4D-flow MVR quantification methods. The inter-reader and intra-reader reproducibility were assessed using intraclass correlation coefficients (ICC). Seven methods were evaluated: 2D-PC standard (LVSV minus aortic flow), 2D-PC mitral-aortic (mitral inflow minus aortic flow), 2D-PC direct (quantifying mitral backflow), 4D-flow standard, 4D-flow mitral-aortic, 4D-flow direct, and volumetric method (LVSV minus RVSV) in 32 patients (74.8 ± 9.8 years, 28% females) with secondary MVR, analyzed independently by two experienced readers. A total of 26 patients were included in the analysis for 2D-PC and 15 for 4D-flow methods. Among all techniques, 2D-PC standard was the most reliable method with both good inter-reader (ICC = 0.85, p < 0.001) and intra-reader agreement (ICC = 0.87, p < 0.001). The 4D-flow standard (ICC = 0.97, p < 0.001) and the volumetric method (ICC = 0.81, p < 0.001) showed excellent and good intra-reader agreements, respectively, but only moderate inter-reader reproducibility (ICC = 0.52, p = 0.027 and ICC = 0.71, p < 0.001). In patients with secondary MVR, 2D-PC standard method demonstrated the highest reproducibility, while 4D-flow methods showed excellent intra-reader reliability but more variable inter-reader agreement. Standardized post-processing protocols and training would likely enhance the clinical application of these techniques. Future studies should investigate these methods in larger, diverse cohorts and correlate findings with clinical outcomes.

Indexed as

HemodynamicsImage Interpretation, Computer-AssistedMagnetic Resonance Imaging, CineMitral ValveMitral Valve InsufficiencyMyocardial Perfusion ImagingAgedAged, 80 and overBlood Flow VelocityFemaleHumansMaleMiddle AgedObserver VariationPredictive Value of TestsReproducibility of Results2D-PC4D-flowCardiovascularChallengesData analysisFlowHeartValidationValvesVelocity & flow

Identifiers

PMID40377789
PMCPMC12241284

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Registered trials

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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.