Evidence map›Paper›PMID 38357432›Full record

ArticleNeuroimage. Reports2023

Introduction of ultra-high-field MR brain imaging in infants: vital parameters, temperature and comfort.

I M van Ooijen, K V Annink, M J N L Benders, J Dudink, T Alderliesten, F Groenendaal, M L Tataranno, M H Lequin, J M Hoogduin, F Visser and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuroimage. Reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Precision functional imaging in infants using multi-echo fMRI at 7T.bioRxiv : the preprint server for biology · 2025
    Article
  2. Review
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

15 authors.

I M van OoijenDepartment of Neonatology, University Medical Center Utrecht, Utrecht Brain Center, University Utrecht, Utrecht, the Netherlands.
K V AnninkDepartment of Neonatology, University Medical Center Utrecht, Utrecht Brain Center, University Utrecht, Utrecht, the Netherlands.
M J N L BendersDepartment of Neonatology, University Medical Center Utrecht, Utrecht Brain Center, University Utrecht, Utrecht, the Netherlands.
J DudinkDepartment of Neonatology, University Medical Center Utrecht, Utrecht Brain Center, University Utrecht, Utrecht, the Netherlands.
T AlderliestenDepartment of Neonatology, University Medical Center Utrecht, Utrecht Brain Center, University Utrecht, Utrecht, the Netherlands.
F GroenendaalDepartment of Neonatology, University Medical Center Utrecht, Utrecht Brain Center, University Utrecht, Utrecht, the Netherlands.
M L TatarannoDepartment of Neonatology, University Medical Center Utrecht, Utrecht Brain Center, University Utrecht, Utrecht, the Netherlands.
M H LequinDepartement of Radiology, Division of Imaging and Oncology, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands.
J M HoogduinCentre for Image Sciences, High Field MR Research, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands.
F VisserCentre for Image Sciences, High Field MR Research, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands.
A J E RaaijmakersCentre for Image Sciences, High Field MR Research, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands.
D W J KlompCentre for Image Sciences, High Field MR Research, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands.
E C WiegersCentre for Image Sciences, High Field MR Research, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands.
J P WijnenCentre for Image Sciences, High Field MR Research, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands.
N E van der AaDepartment of Neonatology, University Medical Center Utrecht, Utrecht Brain Center, University Utrecht, Utrecht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Brain MRI in infants at ultra-high-field scanners might improve diagnostic quality, but safety should be evaluated first. In our previous study, we reported simulated specific absorption rates and acoustic noise data at 7 Tesla. Methods: In this study, we included twenty infants between term-equivalent age and three months of age. The infants were scanned on a 7 Tesla MRI directly after their clinically indicated 3 Tesla brain MRI scan. Vital parameters, temperature, and comfort were monitored throughout the process. Brain temperature was estimated during the MRI scans using proton MR spectroscopy. Results: We found no significant differences in vital parameters, temperature, and comfort during and after 7 Tesla MRI scans, compared to 3 Tesla MRI scans. Conclusions: These data confirm our hypothesis that scanning infants at 7 Tesla MRI appears to be safe and we identified no additional risks from scanning at 3 Tesla MRI.

Indexed as

InfantsNeuroimagingSafetyUltra-high-field (7 Tesla) MRI

Identifiers

PMID38357432
PMCPMC10865273

What OpenQuestion holds

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Registered trials

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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.