Evidence map›Paper›PMID 41521841›Full record

ArticleHuman brain mapping2026

Feasibility and Validity of Ultra-Low-Field MRI for Measurement of Regional Infant Brain Volumes in Structures Associated With Antenatal Maternal Anemia.

Jessica E Ringshaw, Niall J Bourke, Michal R Zieff, Catherine J Wedderburn, Chiara Casella, Layla E Bradford, Simone R Williams, Donna Herr, Marlie Miles, Jonathan O'Muircheartaigh and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human brain mapping, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. 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

17 authors.

Jessica E RingshawDepartment of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0001-6885-8351
Niall J BourkeDepartment of Neuroimaging, Centre for Neuroimaging Sciences, Kings College London, London, England, UK.ORCID https://orcid.org/0000-0001-6478-1430
Michal R ZieffDepartment of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa.
Catherine J WedderburnDepartment of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-4887-1644
Chiara CasellaResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, England, UK.ORCID https://orcid.org/0000-0002-0292-3330
Layla E BradfordDepartment of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-5195-9081
Simone R WilliamsDepartment of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa.
Donna HerrDepartment of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa.
Marlie MilesDepartment of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa.
Jonathan O'MuircheartaighResearch Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, England, UK.ORCID https://orcid.org/0000-0002-8033-6959
Carly BennallickDepartment of Neuroimaging, Centre for Neuroimaging Sciences, Kings College London, London, England, UK.
Sean DeoniMaternal, Newborn, Child Nutrition and Health (MNCH) Discovery and Translational (D&T) Sciences Program, Gates Foundation, Seattle, Washington, USA.
Dan J SteinNeuroscience Institute, University of Cape Town, Cape Town, South Africa.
Daniel C AlexanderHawkes Institute and Department of Computer Science, University College London, London, England, UK.ORCID https://orcid.org/0000-0003-2439-350X
Derek K JonesCardiff University Brain Imaging Research Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, Wales, UK.ORCID https://orcid.org/0000-0003-4409-8049
Steven C R WilliamsDepartment of Neuroimaging, Centre for Neuroimaging Sciences, Kings College London, London, England, UK.ORCID https://orcid.org/0000-0003-4299-1941
Kirsten A DonaldDepartment of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-0276-9660

Funding

DELTAS II Del-22-002DELTAS II Science for Africa Foundation with support from Wellcome Trust and the UK Foreign, Commonwealth & Development OfficeGates Foundation INV-023509Gates Foundation INV-047888National Institute for Health and Care Research (NIHR) Maudsley Biomedical Research Centre (BRC)South African Medical Research CouncilWellcome Leap 222076/Z/20/ZWellcome TrustWellcome Trust International Training Fellowship 224287/Z/21/Z
6 · The paper itself

Abstract

The availability of ultra-low-field (ULF) magnetic resonance imaging (MRI) has the potential to improve neuroimaging accessibility in low-resource settings. However, the utility of ULF MRI in detecting child brain changes associated with anemia is unknown. The aim of this study was to assess the comparability of 3T high-field (HF) and 64mT ULF volumes in infants for brain regions associated with antenatal maternal anemia. This neuroimaging substudy is nested within Khula South Africa, a population-based birth cohort. Pregnant women were enrolled antenatally and postnatally, and mother-child dyads (n = 394) were followed prospectively at approximately 3, 6, 12, and 18 months. A subgroup of infants was scanned on 3T and 64mT MRI systems across study visits and images were segmented using MiniMORPH. Correlations and concordance coefficients were used to cross-validate HF and ULF infant brain volumes for the caudate nucleus, putamen, and corpus callosum. Seventy-eight children (53.85% male) had paired HF (mean [SD] age = 9.64 [5.26] months) and ULF (mean [SD] age = 9.47 [5.32] months) datasets. Results indicated strong agreement between systems for intracranial volume (ICV; r = 0.96, ρ

Indexed as

AnemiaBrainMagnetic Resonance ImagingAdultFeasibility StudiesFemaleHumansInfantMaleOrgan SizePregnancyReproducibility of ResultsSouth Africaantenatal maternal anemiaconcordancecross‐validationhigh‐field MRIinfant brain volumelow‐ and middle‐income countriesultra‐low‐field MRI

Identifiers

PMID41521841
PMCPMC12793889

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.