Evidence map›Paper›PMID 41284003›Full record

ArticleChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2025

Volumetric analysis of term-equivalent age MRI in post-haemorrhagic ventricular dilatation reveals association between deep grey matter volume and developmental outcomes.

Matthew John Kane, Jonathan O'Muircheartaigh, Malak Mohamed, Kshitij Mankad, Cristine Sortica Da Costa, William Dawes, Greg James, Aswin Chari, Kristian Aquilina

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Article in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Matthew John KaneUCL Great Ormond Street Institute of Child Health, University College London, London, UK.
Jonathan O'MuircheartaighDepartment of Forensic & Neurodevelopmental Sciences, Institute of Psychiatry Psychology & Neuroscience, King's College London, London, UK.
Malak MohamedImperial College Healthcare NHS Trust, Department of Paediatrics Intensive Care, St Mary's Hospital, London, UK.
Kshitij MankadDepartment of Neuroradiology, Great Ormond Street Hospital for Children, London, UK.
Cristine Sortica Da CostaDepartment of Neonatology, Great Ormond Street Hospital for Children, London, UK.
William DawesDepartment of Neurosurgery, Alder Hey Children's Hospital, Liverpool, UK.
Greg JamesDepartment of Neurosurgery, Great Ormond Street Hospital for Children, London, UK.
Aswin ChariDepartment of Neurosurgery, Great Ormond Street Hospital for Children, London, UK.
Kristian AquilinaDepartment of Neurosurgery, Great Ormond Street Hospital for Children, London, UK. kristian.aquilina@gosh.nhs.uk.

Funding

National Institute for Health and Care Research, United Kingdom Academic Clinical Lectureship
6 · The paper itself

Abstract

aimThis study aimed to identify factors influencing brain volumes at term-equivalent age (TEA) in preterm infants with post-haemorrhagic ventricular dilatation (PHVD) and explore how these volumes, and other factors, correlate with neurodevelopmental outcome (NDO).

methodA retrospective cohort study of 84 infants with PHVD managed on a standardised pathway at a single centre between 2012 and 2020. Brain volumes were measured from TEA MRI scans in 31 infants. NDO was assessed at one and two years. Primary analyses included the 31 infants with measured brain volumes. Sensitivity analysis included all 84 infants using multiple imputation for missing brain volumes.

resultsSepsis (-12.75mL, 95% CI -17.89 to -7.61) was linked to smaller cerebellar volume. Intubation (-0.09mL/day, 95% CI -0.15 to -0.04) and inotropic support (-3.19mL, 95% CI -6.18 to -0.20) were associated with reduced deep grey matter (dGM) volume. Larger dGM volume predicted lower odds of poor NDO at two years (OR 0.75, 95% CI 0.60 to 0.94). Sensitivity analysis supported these findings.

interpretationdGM volume at TEA could predict NDO among infants with PHVD. Addressing modifiable factors influencing dGM volume may improve outcomes. Understanding associations of independent variables with NDO is essential to evaluate the impact of neurosurgical interventions. WHAT THIS PAPER ADDS: - Among infants with post-haemorrhagic ventricular dilatation: - Sepsis was associated with smaller cerebellar volumes at term-equivalent age. - Intubation and inotrope use were associated with smaller deep grey matter volumes at term-equivalent age. - Larger deep grey matter volume at term-equivalent age was associated with improved neurodevelopmental outcome at two years.

Indexed as

Cerebral HemorrhageCerebral VentriclesGray MatterCohort StudiesDilatation, PathologicFemaleHumansInfantInfant, NewbornInfant, PrematureMagnetic Resonance ImagingMaleOrgan SizeRetrospective StudiesBrain volumeDevelopmental outcomeGerminal matrix haemorrhagePost-haemorrhagic ventricular dilatationPrematuritySepsis

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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.