Evidence map›Paper›PMID 39673110›Full record

ArticleMagnetic resonance in medicine2025

T

Aiman Mahmoud, Raphael Tomi-Tricot, David Leitão, Philippa Bridgen, Anthony N Price, Alena Uus, Arnaud Boutillon, Andrew J Lawrence, Daniel Cromb, Paul Cawley and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. TMagnetic resonance in medicine · 2025
    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

18 authors.

Aiman MahmoudImaging Physics and Engineering Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Raphael Tomi-TricotLondon Collaborative Ultrahigh field System (LoCUS), King's College London, London, UK.
David LeitãoImaging Physics and Engineering Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID https://orcid.org/0000-0001-5853-8602
Philippa BridgenLondon Collaborative Ultrahigh field System (LoCUS), King's College London, London, UK.
Anthony N PriceGuy's and St. Thomas' NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0002-6907-7554
Alena UusEarly Life Imaging Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID https://orcid.org/0000-0001-5796-2145
Arnaud BoutillonImaging Physics and Engineering Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Andrew J LawrenceDepartment of Psychological Medicine, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK.
Daniel CrombEarly Life Imaging Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID https://orcid.org/0000-0002-9814-8841
Paul CawleyGuy's and St. Thomas' NHS Foundation Trust, London, UK.
Maria DeprezImaging Physics and Engineering Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Enrico De VitaLondon Collaborative Ultrahigh field System (LoCUS), King's College London, London, UK.
Sharon L GilesLondon Collaborative Ultrahigh field System (LoCUS), King's College London, London, UK.
Mary A RutherfordEarly Life Imaging Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
A David EdwardsGuy's and St. Thomas' NHS Foundation Trust, London, UK.
Joseph V HajnalImaging Physics and Engineering Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Tomoki ArichiGuy's and St. Thomas' NHS Foundation Trust, London, UK.
Shaihan J MalikImaging Physics and Engineering Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID https://orcid.org/0000-0001-8925-9032

Funding

Action Medical Research GN2728Medical Research Council MR/P008712/1Medical Research Council MR/V036874/1Medical Research Council MR/Y009665/1Medical Research Council Centre for Neurodevelopmental Disorders MR/N026063/1National Institute for Health Research (NIHR)Wellcome EPSRC Centre for Medical Engineering WT203148/Z/16/ZWellcome Trust 201526Wellcome Trust 203148Wellcome Trust WT 201526/Z/16/Z
6 · The paper itself

Abstract

purposeTo determine the expected range of NMR relaxation times (T

methodsData were acquired in a total of 40 examinations on infants in natural sleep. The cohort included 34 unique subjects with postmenstrual age range between 33 and 52 weeks and contained a mix of healthy individuals and those with clinical concerns. Single-slice T

resultsLinear regression was used to estimate relaxation times at term equivalent age (40 weeks postmenstrual age).

conclusionsWe describe neonatal brain tissue and age-specific T

Indexed as

BrainMagnetic Resonance ImagingCerebellumFemaleGray MatterHumansImage Processing, Computer-AssistedInfant, NewbornMaleWhite Matterneonatal imagingrelaxation timesultrahigh field

Identifiers

PMID39673110
PMCPMC7617262

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.