Evidence map›Paper›PMID 39737688›Full record

ArticleMagnetic resonance in medicine2025

T

Kelly Payette, Alena U Uus, Ella Kollstad, Jordina Aviles Verdera, Dario Gallo, Megan Hall, Joseph V Hajnal, Mary A Rutherford, Lisa Story, Jana Hutter

Abstract read
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. Article
  2. Article
  3. TMagnetic resonance in medicine · 2025
    Article
  4. 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

10 authors.

Kelly PayetteResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0001-7041-0150
Alena U UusResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0001-5796-2145
Ella KollstadDepartment of Women & Children's Health, King's College London, London, UK.
Jordina Aviles VerderaResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0009-0007-7575-4244
Dario GalloResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Megan HallResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Joseph V HajnalResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Mary A RutherfordResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Lisa StoryResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Jana HutterResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0003-3476-3500

Funding

Structure and function of the placenta from implantation to delivery: a next generation MRI approachU01HD087202 · NICHD · KING'S COLLEGE LONDON · PI ALEXANDER, DANIEL, ALJABAR, PAUL · 2015 to 2015
$3.2M
Deutsche Forschungsgemeinschaft 502024488Engineering and Physical Sciences Research Council EP/V034537/1National Institute for Health and Care Research 301664National Institute of Health (Human Placenta Project) 1U01HD087202-01NICHD NIH HHS U01 HD087202NIHR Clinical Research Facility (CRF) based at Guy's and St Thomas'UK Research and Innovation MR/T018119/1Wellcome/EPSRC Centre for Medical Engineering WT203148/Z/16/ZWellcome TrustWellcome Trust 201374/Z/16/BWellcome Trust 201374/Z/16/Z
6 · The paper itself

Abstract

purposeHuman brain development during gestation is complex, as both structure and function are rapidly forming. Structural imaging methods using MRI are well developed to explore these changes, but functional imaging tools are lacking. Low-field MRI is a promising modality to bridge this gap. The longer intrinsic T

methodsDynamic multi-echo gradient-echo sequences were acquired in 135 cases at 0.55 T between 20 and 40 weeks' gestation. Automatic high-resolution reconstruction and segmentation tools were developed, resulting in T

resultsAll regional fetal brain T

conclusionLow-field MRI allows for a detailed, regional T

Indexed as

BrainFetusMagnetic Resonance ImagingPrenatal DiagnosisFemaleGestational AgeGray MatterHumansImage Processing, Computer-AssistedMalePregnancyfetal brain developmentlow‐field MRIT2* relaxometry

Identifiers

PMID39737688
PMCPMC11893027

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.