Evidence map›Paper›PMID 42426943›Full record

ArticleMagnetic resonance in medicine2026

4D Flow MRI-Based Quantification of Tricuspid Regurgitation: A Possible Approach to Improve Measurement Repeatability.

Alessandra Riva, Giulia Pasqualin, Francesco Sturla, Lara Tondi, Simone Saitta, Davide Tondi, Jessica Zannoni, Giandomenico Disabato, Daniel Giese, Massimo Chessa and 4 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Alessandra Riva3D and Computer Simulation Laboratory, IRCCS, Policlinico San Donato, San Donato Milanese, Italy.ORCID https://orcid.org/0000-0001-9648-7711
Giulia PasqualinPediatric and Adult Congenital Disease Heart Centre, IRCCS Policlinico San Donato, San Donato Milanese, Italy.ORCID https://orcid.org/0000-0002-3362-4501
Francesco Sturla3D and Computer Simulation Laboratory, IRCCS, Policlinico San Donato, San Donato Milanese, Italy.ORCID https://orcid.org/0000-0001-7317-304X
Lara TondiMultimodality Cardiac Imaging, IRCCS Policlinico San Donato, San Donato Milanese, Italy.ORCID https://orcid.org/0000-0001-7140-0341
Simone SaittaDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.ORCID https://orcid.org/0000-0002-3974-5945
Davide TondiDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.ORCID https://orcid.org/0009-0009-8038-5476
Jessica ZannoniDepartment of Clinical and Interventional Cardiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy.ORCID https://orcid.org/0000-0002-6709-7789
Giandomenico DisabatoMultimodality Cardiac Imaging, IRCCS Policlinico San Donato, San Donato Milanese, Italy.ORCID https://orcid.org/0000-0003-1024-1644
Daniel GieseResearch & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany.ORCID https://orcid.org/0000-0002-3925-4441
Massimo ChessaPediatric and Adult Congenital Disease Heart Centre, IRCCS Policlinico San Donato, San Donato Milanese, Italy.ORCID https://orcid.org/0000-0001-7432-4815
Pietro SpagnoloDepartment of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy.ORCID https://orcid.org/0000-0003-0914-314X
Alberto RedaelliDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.ORCID https://orcid.org/0000-0002-9020-2188
Massimo LombardiMultimodality Cardiac Imaging, IRCCS Policlinico San Donato, San Donato Milanese, Italy.ORCID https://orcid.org/0000-0003-1700-8749
Emiliano VottaDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.ORCID https://orcid.org/0000-0001-7115-0151

Funding

Italian Ministry of Health (Ricerca Corrente)
6 · The paper itself

Abstract

purposeTo address limitations in tricuspid regurgitation (TR) quantification by magnetic resonance imaging (MRI) or transthoracic echocardiography (TTE), a new method is proposed to directly quantify TR volume (TR

methodsThirty patients with TR were prospectively enrolled. TR

resultsThe dynamic 4D Flow method correlated strongly with all other MRI methods (r = 0.77-0.81, p < 0.0001) but consistently yielded higher TR

conclusion4D Flow with dynamic TV tracking offers a reproducible and potentially more sensitive method for TR

Indexed as

Image Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingTricuspid Valve InsufficiencyAdultAgedAlgorithmsBlood Flow VelocityFemaleHumansImage EnhancementMaleMiddle AgedReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID42426943
PMCPMC13527280

What OpenQuestion holds

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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.