Evidence map›Paper›PMID 33123752›Full record

ArticleNeuroradiology2021

Diffusion magnetic resonance imaging assessment of regional white matter maturation in preterm neonates.

J A Kimpton, D Batalle, M L Barnett, E J Hughes, A T M Chew, S Falconer, J D Tournier, D Alexander, H Zhang, A D Edwards and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

J A KimptonCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.ORCID https://orcid.org/0000-0002-2257-3024
D BatalleCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.ORCID https://orcid.org/0000-0003-2097-979X
M L BarnettCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.
E J HughesCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.ORCID https://orcid.org/0000-0002-9867-3179
A T M ChewCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.ORCID https://orcid.org/0000-0002-4344-2015
S FalconerCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.ORCID https://orcid.org/0000-0002-3359-4736
J D TournierCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.ORCID http://orcid.org/0000-0001-5591-7383
D AlexanderDepartment of Computer Science and Centre for Medical Imaging Computing, University College London, London, UK.ORCID https://orcid.org/0000-0003-2439-350X
H ZhangDepartment of Computer Science and Centre for Medical Imaging Computing, University College London, London, UK.ORCID https://orcid.org/0000-0002-5426-2140
A D EdwardsCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK.ORCID http://orcid.org/0000-0003-4801-7066
S J CounsellCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, UK. serena.counsell@kcl.ac.uk.ORCID https://orcid.org/0000-0002-8033-5673
King's College London · GBUniversity College London · GB

Funding

Department of Health RP-PG-0707-10154Medical Research Council MR/L011530/1Medical Research Council MR/N026063/1Wellcome TrustWellcome Trust 217316/Z/19/ZWellcome Trust WT 203148/Z/16/Z
6 · The paper itself

Abstract

purposeDiffusion magnetic resonance imaging (dMRI) studies report altered white matter (WM) development in preterm infants. Neurite orientation dispersion and density imaging (NODDI) metrics provide more realistic estimations of neurite architecture in vivo compared with standard diffusion tensor imaging (DTI) metrics. This study investigated microstructural maturation of WM in preterm neonates scanned between 25 and 45 weeks postmenstrual age (PMA) with normal neurodevelopmental outcomes at 2 years using DTI and NODDI metrics.

methodsThirty-one neonates (n = 17 male) with median (range) gestational age (GA) 32

resultsPMA at scan positively correlated with fractional anisotropy (FA) in the CST, fornix and optic radiations and neurite density index (NDI) in the cingulum, CST and fornix and negatively correlated with mean diffusivity (MD) in all tracts. A multilinear regression model demonstrated PMA at scan influenced all diffusion measures, GA and GAxPMA at scan influenced FA, MD and NDI and gender affected NDI. Cross-sectional analyses revealed asynchronous WM maturation within and between WM tracts.).

conclusionWe describe normal WM maturation in preterm neonates with normal neurodevelopmental outcomes. NODDI can enhance our understanding of WM maturation compared with standard DTI metrics alone.

Indexed as

White MatterBrainCross-Sectional StudiesDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingHumansInfantInfant, NewbornInfant, PrematureMagnetic Resonance ImagingMaleDiffusion magnetic resonance imaging (dMRI)High-angular resolution diffusion MR imaging (HARDI)NeonateNeurite orientation dispersion and density imaging (NODDI)PretermTractography

Identifiers

PMID33123752
PMCPMC7966229
OpenAlexW3095220642

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.