Evidence map›Paper›PMID 38304343›Full record

ArticleFrontiers in radiology2023

High resolution and contrast 7 tesla MR brain imaging of the neonate.

Philippa Bridgen, Raphael Tomi-Tricot, Alena Uus, Daniel Cromb, Megan Quirke, Jennifer Almalbis, Beya Bonse, Miguel De la Fuente Botella, Alessandra Maggioni, Pierluigi Di Cio and 22 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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  6. TMagnetic resonance in medicine · 2025
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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

32 authors at 5 institutions in 2 countries.

Philippa BridgenLondon Collaborative Ultra High Field System (LoCUS), King's College London, London, United Kingdom.
Raphael Tomi-TricotLondon Collaborative Ultra High Field System (LoCUS), King's College London, London, United Kingdom.
Alena UusCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Daniel CrombCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Megan QuirkeGuys and St Thomas' NHS Foundation Trust, London, United Kingdom.
Jennifer AlmalbisGuys and St Thomas' NHS Foundation Trust, London, United Kingdom.
Beya BonseGuys and St Thomas' NHS Foundation Trust, London, United Kingdom.
Miguel De la Fuente BotellaGuys and St Thomas' NHS Foundation Trust, London, United Kingdom.
Alessandra MaggioniGuys and St Thomas' NHS Foundation Trust, London, United Kingdom.
Pierluigi Di CioLondon Collaborative Ultra High Field System (LoCUS), King's College London, London, United Kingdom.
Paul CawleyGuys and St Thomas' NHS Foundation Trust, London, United Kingdom.
Chiara CasellaCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Ayse Sila DokumaciBiomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Alice R ThomsonCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Jucha Willers MooreCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Devi BridglalCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Joao SaraviaCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Thomas FinckCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Anthony N PriceGuys and St Thomas' NHS Foundation Trust, London, United Kingdom.
Elisabeth PicklesLondon Collaborative Ultra High Field System (LoCUS), King's College London, London, United Kingdom.
Lucilio Cordero-GrandeCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Alexia EgloffGuys and St Thomas' NHS Foundation Trust, London, United Kingdom.
Jonathan O'MuircheartaighCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Serena J CounsellCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Sharon L GilesLondon Collaborative Ultra High Field System (LoCUS), King's College London, London, United Kingdom.
Maria DeprezCentre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Enrico De VitaLondon Collaborative Ultra High Field System (LoCUS), King's College London, London, United Kingdom.
Mary A RutherfordGuys and St Thomas' NHS Foundation Trust, London, United Kingdom.
A David EdwardsGuys and St Thomas' NHS Foundation Trust, London, United Kingdom.
Joseph V HajnalLondon Collaborative Ultra High Field System (LoCUS), King's College London, London, United Kingdom.
Shaihan J MalikLondon Collaborative Ultra High Field System (LoCUS), King's College London, London, United Kingdom.
Tomoki ArichiGuys and St Thomas' NHS Foundation Trust, London, United Kingdom.
King's College London · GBGuy's and St Thomas' NHS Foundation Trust · GBGreat Ormond Street Hospital · GBSiemens (United Kingdom) · GBUniversidad Politécnica de Madrid · ES

Funding

Medical Research Council MR/N026063/1Medical Research Council MR/P008712/1Medical Research Council MR/V036874/1Medical Research Council MR/W006251/1Wellcome Trust
6 · The paper itself

Abstract

Introduction: Ultra-high field MR imaging offers marked gains in signal-to-noise ratio, spatial resolution, and contrast which translate to improved pathological and anatomical sensitivity. These benefits are particularly relevant for the neonatal brain which is rapidly developing and sensitive to injury. However, experience of imaging neonates at 7T has been limited due to regulatory, safety, and practical considerations. We aimed to establish a program for safely acquiring high resolution and contrast brain images from neonates on a 7T system. Methods: Images were acquired from 35 neonates on 44 occasions (median age 39 + 6 postmenstrual weeks, range 33 + 4 to 52 + 6; median body weight 2.93 kg, range 1.57 to 5.3 kg) over a median time of 49 mins 30 s. Peripheral body temperature and physiological measures were recorded throughout scanning. Acquired sequences included T2 weighted (TSE), Actual Flip angle Imaging (AFI), functional MRI (BOLD EPI), susceptibility weighted imaging (SWI), and MR spectroscopy (STEAM). Results: There was no significant difference between temperature before and after scanning ( Discussion: We demonstrate safety and feasibility of imaging vulnerable neonates at ultra-high field and highlight the untapped potential for providing important new insights into brain development and pathological processes during this critical phase of early life.

Indexed as

braininfantmagnetic resonance imaging (MRI)neonateneuroradiologyultra-high field MRI

Identifiers

PMID38304343
PMCPMC10830693
OpenAlexW4390980951

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.