Evidence map›Paper›PMID 38968093›Full record

ArticleMagnetic resonance in medicine2024

Characterizing T1 in the fetal brain and placenta over gestational age at 0.55T.

Jordina Aviles Verdera, Raphael Tomi-Tricot, Lisa Story, Mary A Rutherford, Sebastien Ourselin, Joseph V Hajnal, Shaihan J Malik, Jana Hutter

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jordina Aviles VerderaCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0009-0007-7575-4244
Raphael Tomi-TricotCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Lisa StoryWomen's Health, GSTT, London, UK.
Mary A RutherfordCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Sebastien OurselinBiomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Joseph V HajnalCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Shaihan J MalikCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0001-8925-9032
Jana HutterCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0003-3476-3500

Funding

Deutsche Forschungs Gemeinschaft (DFG) and Heisenberg 502024488Health Services and Delivery Research Programme NIHR3016640UK Research and Innovation MR/T018119/1Wellcome/EPSRC Centre for Medical Engineering WT203148/Z/16/ZWellcome Trust 201526Wellcome Trust 203148
6 · The paper itself

Abstract

purposeT1 mapping and T1-weighted contrasts have a complimentary but currently under utilized role in fetal MRI. Emerging clinical low field scanners are ideally suited for fetal T1 mapping. The advantages are lower T1 values which results in higher efficiency and reduced field inhomogeneities resulting in a decreased requirement for specialist tools. In addition the increased bore size associated with low field scanners provides improved patient comfort and accessibility. This study aims to demonstrate the feasibility of fetal brain T1 mapping at 0.55T.

methodsAn efficient slice-shuffling inversion-recovery echo-planar imaging (EPI)-based T1-mapping and postprocessing was demonstrated for the fetal brain at 0.55T in a cohort of 38 fetal MRI scans. Robustness analysis was performed and placental measurements were taken for validation.

resultsHigh-quality T1 maps allowing the investigation of subregions in the brain were obtained and significant correlation with gestational age was demonstrated for fetal brain T1 maps (

conclusionsEfficient, quantitative T1 mapping in the fetal brain was demonstrated on a clinical 0.55T MRI scanner, providing foundations for both future research and clinical applications including low-field specific T1-weighted acquisitions.

Indexed as

BrainEcho-Planar ImagingFetusGestational AgeMagnetic Resonance ImagingPlacentaFemaleHumansImage Processing, Computer-AssistedPregnancyPrenatal Diagnosisfetal MRIlow costlow‐fieldrelaxometry

Identifiers

PMID38968093
PMCPMC7617244

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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.