MRI-based brain volumes of preterm infants at term: a systematic review and meta-analysis.


Journal

Archives of disease in childhood. Fetal and neonatal edition
ISSN: 1468-2052
Titre abrégé: Arch Dis Child Fetal Neonatal Ed
Pays: England
ID NLM: 9501297

Informations de publication

Date de publication:
Sep 2022
Historique:
received: 22 07 2021
accepted: 30 11 2021
pubmed: 27 1 2022
medline: 23 8 2022
entrez: 26 1 2022
Statut: ppublish

Résumé

MRI allows a detailed assessment of brain structures in preterm infants, outperforming cranial ultrasound. Neonatal MR-based brain volumes of preterm infants could serve as objective, quantitative and reproducible surrogate parameters of early brain development. To date, there are no reference values for preterm infants' brain volumes at term-equivalent age. Systematic review of the literature to determine reference ranges for MRI-based brain volumes of very preterm infants at term-equivalent age. PubMed Database was searched on 6 April 2020 for studies reporting MR-based brain volumes on representative unselected populations of very preterm and/or very low birthweight infants examined at term equivalent age (defined as 37-42 weeks mean postmenstrual age at MRI). Analyses were limited to volumetric parameters reported in >3 studies. Weighted mean volumes and SD were both calculated and simulated for each parameter. An initial 367 publications were identified. Following application of exclusion criteria, 13 studies from eight countries were included for analysis, yielding four parameters. Weighted mean total brain volume was 379 mL (SD 72 mL; based on n=756). Cerebellar volume was 21 mL (6 mL; n=791), cortical grey matter volume 140 mL (47 mL; n=572) and weighted mean volume of unmyelinated white matter was 195 mL (38 mL; n=499). This meta-analysis reports pooled data on several brain and cerebellar volumes which can serve as reference for future studies assessing MR-based volumetric parameters as a surrogate outcome for neurodevelopment and for the interpretation of individual or cohort MRI-based volumetric findings.

Sections du résumé

BACKGROUND BACKGROUND
MRI allows a detailed assessment of brain structures in preterm infants, outperforming cranial ultrasound. Neonatal MR-based brain volumes of preterm infants could serve as objective, quantitative and reproducible surrogate parameters of early brain development. To date, there are no reference values for preterm infants' brain volumes at term-equivalent age.
OBJECTIVE OBJECTIVE
Systematic review of the literature to determine reference ranges for MRI-based brain volumes of very preterm infants at term-equivalent age.
METHODS METHODS
PubMed Database was searched on 6 April 2020 for studies reporting MR-based brain volumes on representative unselected populations of very preterm and/or very low birthweight infants examined at term equivalent age (defined as 37-42 weeks mean postmenstrual age at MRI). Analyses were limited to volumetric parameters reported in >3 studies. Weighted mean volumes and SD were both calculated and simulated for each parameter.
RESULTS RESULTS
An initial 367 publications were identified. Following application of exclusion criteria, 13 studies from eight countries were included for analysis, yielding four parameters. Weighted mean total brain volume was 379 mL (SD 72 mL; based on n=756). Cerebellar volume was 21 mL (6 mL; n=791), cortical grey matter volume 140 mL (47 mL; n=572) and weighted mean volume of unmyelinated white matter was 195 mL (38 mL; n=499).
CONCLUSION CONCLUSIONS
This meta-analysis reports pooled data on several brain and cerebellar volumes which can serve as reference for future studies assessing MR-based volumetric parameters as a surrogate outcome for neurodevelopment and for the interpretation of individual or cohort MRI-based volumetric findings.

Identifiants

pubmed: 35078779
pii: archdischild-2021-322846
doi: 10.1136/archdischild-2021-322846
pmc: PMC9411894
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

520-526

Informations de copyright

© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Julia Romberg (J)

Department of Pediatrics, University Hospital Tuebingen, Tuebingen, Germany julia.romberg@med.uni-tuebingen.de.

Marko Wilke (M)

Pediatric Neurology & Developmental Medicine, University Hospital Tuebingen, Tuebingen, Germany.

Christoph Allgaier (C)

Department of Pediatrics, Center for Pediatric Clinical Studies, University Hospital Tuebingen, Tuebingen, Germany.

Thomas Nägele (T)

Department of Neuroradiology, University Hospital Tuebingen, Tuebingen, Germany.

Corinna Engel (C)

Department of Pediatrics, Center for Pediatric Clinical Studies, University Hospital Tuebingen, Tuebingen, Germany.

Christian F Poets (CF)

Department of Neonatology, University Hospital Tuebingen, Tuebingen, Germany.

Axel Franz (A)

Department of Neonatology, University Hospital Tuebingen, Tuebingen, Germany.

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Classifications MeSH