Evidence map›Paper›PMID 31400054›Full record

ArticleMagnetic resonance in medicine2020

Whole-heart T

Giovanna Nordio, Torben Schneider, Gastao Cruz, Teresa Correia, Aurelien Bustin, Claudia Prieto, René M Botnar, Markus Henningsson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. 3D Whole-Heart Joint TNMR in biomedicine · 2026
    Article
  2. 3D joint TMagnetic resonance in medicine · 2025
    Article
  3. Cardiac MR: From Theory to Practice.Frontiers in cardiovascular medicine · 2022
    Review
  4. Article
  5. Whole-heart TMagnetic resonance in medicine · 2020
    Article
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

8 authors.

Giovanna NordioSchool of Biomedical Engineering and Imaging Sciences, King's College of London, London, United Kingdom.ORCID 0000-0002-7835-2992
Torben SchneiderSchool of Biomedical Engineering and Imaging Sciences, King's College of London, London, United Kingdom.
Gastao CruzSchool of Biomedical Engineering and Imaging Sciences, King's College of London, London, United Kingdom.
Teresa CorreiaSchool of Biomedical Engineering and Imaging Sciences, King's College of London, London, United Kingdom.ORCID 0000-0002-1606-9550
Aurelien BustinSchool of Biomedical Engineering and Imaging Sciences, King's College of London, London, United Kingdom.ORCID 0000-0002-2845-8617
Claudia PrietoSchool of Biomedical Engineering and Imaging Sciences, King's College of London, London, United Kingdom.
René M BotnarSchool of Biomedical Engineering and Imaging Sciences, King's College of London, London, United Kingdom.
Markus HenningssonSchool of Biomedical Engineering and Imaging Sciences, King's College of London, London, United Kingdom.ORCID 0000-0001-6142-3005

Funding

British Heart Foundation RG/12/1/29262Wellcome Trust 203148
6 · The paper itself

Abstract

purposeTo combine a 3D saturation-recovery-based myocardial T

methodsData from T

resultsIn the phantom study, the Bland-Altman plot shows that the 2D fat-iNAVs does not affect the T

conclusionsWe demonstrate the feasibility to combine the 3D SASHA T

Indexed as

Magnetic Resonance ImagingRespirationAdipose TissueAdultAlgorithmsBreath HoldingFemaleHeartHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedImaging, Three-DimensionalMaleMyocardiumPhantoms, ImagingReproducibility of Resultsfat image navigatormyocardial T1 mappingrespiratory motion compensation

Identifiers

PMID31400054
PMCPMC6791811

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.