Evidence map›Paper›PMID 36372971›Full record

ArticleMagnetic resonance in medicine2023

In vivo T

Francesco Padormo, Paul Cawley, Louise Dillon, Emer Hughes, Jennifer Almalbis, Joanna Robinson, Alessandra Maggioni, Miguel De La Fuente Botella, Dan Cromb, Anthony Price and 13 more

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Motion-corrected brain MRI at ultralow field (64 mT).Magnetic resonance in medicine · 2025
    Article
  3. Rapid quantitative MRI at 46 mT: Accelerated TMagnetic resonance in medicine · 2025
    Article
  4. Article
  5. TMagnetic resonance in medicine · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Repeatability and reproducibility of rapid TImaging neuroscience (Cambridge, Mass.) · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. In vivo TMagnetic resonance in medicine · 2023
    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

23 authors at 4 institutions in 2 countries.

Francesco Padormo *Center for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.ORCID 0000-0001-5699-2692
Paul CawleyCenter for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.ORCID 0000-0002-4353-0656
Louise DillonCenter for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
Emer HughesCenter for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
Jennifer AlmalbisCenter for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
Joanna RobinsonCenter for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
Alessandra MaggioniCenter for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
Miguel De La Fuente BotellaCenter for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
Dan CrombCenter for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.ORCID 0000-0002-9814-8841
Anthony PriceCenter for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.ORCID 0000-0002-6907-7554
Lori ArlinghausHyperfine, Inc., Guilford, Connecticut, USA.ORCID 0000-0002-8582-1777
John PittsHyperfine, Inc., Guilford, Connecticut, USA.
Tianrui LuoHyperfine, Inc., Guilford, Connecticut, USA.ORCID 0000-0003-4770-530X
Dingtian ZhangHyperfine, Inc., Guilford, Connecticut, USA.
Sean C L DeoniAdvanced Baby Imaging Lab, Rhode Island Hospital, Warren, Alpert Medical School at Brown University, Providence, Rhode Island, USA.
Steve WilliamsMedical Research Council Center for Neurodevelopmental Disorders, King's College London, London, United Kingdom.
Shaihan MalikCenter for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.ORCID 0000-0001-8925-9032
Jonathan O MuircheartaighCenter for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
Serena J CounsellCenter for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
Mary RutherfordCenter for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
Tomoki ArichiCenter for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
A David EdwardsCenter for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
Joseph V HajnalCenter for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.
King's College London · GBGuilford College · USBrown University · USWellcome Centre for Human Neuroimaging · GB

Funding

Medical Research Council MR/N026063/1Medical Research Council MR/P008712/1Medical Research Council MR/V036874/1Medical Research Council MR/W006251/1Wellcome TrustWellcome Trust 206675/Z/17/ZWellcome Trust WT 203148/Z/16/Z
6 · The paper itself

Abstract

purposeUltralow-field (ULF) point-of-care MRI systems allow image acquisition without interrupting medical provision, with neonatal clinical care being an important potential application. The ability to measure neonatal brain tissue T

methodsExaminations were performed on a 64-mT portable MRI system. A phantom validation experiment was performed, and a total of 33 in vivo exams were acquired from 28 neonates with postmenstrual age ranging from 31

resultsReduction of T

conclusionNeonatal T

Indexed as

BrainWhite MatterAdultBrain MappingCerebellumHumansInfantInfant, NewbornLinear ModelsMagnetic Resonance Imaginggray matterneonatalrelaxometryultralow-field MRIwhite matter

Identifiers

PMID36372971
PMCPMC10099617
OpenAlexW4308954899

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.