Evidence map›Paper›PMID 40567445›Full record

ArticleNeuroimage. Reports2025

Brain MRI before and at term equivalent age predicts motor and cognitive outcomes in very preterm infants.

Alex M Pagnozzi, Kerstin Pannek, Roslyn N Boyd, Liza van Eijk, Joanne M George, Samudragupta Bora, DanaKai Bradford, Michael Fahey, Michael Ditchfield, Atul Malhotra and 2 more

Abstract read
In one paragraph

Article in Neuroimage. Reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Neurodevelopmental forecasting in preterms: aEEG at 32 weeks vs. MRI at term in predicting 2-year outcomes.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
  3. Article
  4. Article
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

12 authors.

Alex M PagnozziThe Australian e-Health Research Centre, CSIRO, Brisbane, Australia.
Kerstin PannekThe Australian e-Health Research Centre, CSIRO, Brisbane, Australia.
Roslyn N BoydChild Health Research Centre, Queensland Cerebral Palsy and Rehabilitation Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
Liza van EijkThe Australian e-Health Research Centre, CSIRO, Brisbane, Australia.
Joanne M GeorgeChild Health Research Centre, Queensland Cerebral Palsy and Rehabilitation Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
Samudragupta BoraMothers, Babies and Women's Health Program, Mater Research Institute, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
DanaKai BradfordThe Australian e-Health Research Centre, CSIRO, Brisbane, Australia.
Michael FaheyMonash Health Paediatric Neurology Unit and Department of Paediatrics, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia.
Michael DitchfieldMonash Imaging, Monash Health, Melbourne, Victoria, Australia.
Atul MalhotraDepartment of Paediatrics, Monash University, Melbourne, Victoria, Australia.
Paul B ColditzPerinatal Research Centre, The University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
Jurgen FrippThe Australian e-Health Research Centre, CSIRO, Brisbane, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain Magnetic Resonance Imaging (MRI) of high-risk infants in the neonatal period (from 26 weeks postmenstrual age to Term Equivalent Age (TEA)) is increasingly being used for the detection of brain injuries, and the early prognostication of adverse outcomes such as Cerebral Palsy (CP). While most imaging is performed around TEA in clinical practice for infants born preterm (<37 weeks of gestation), this would often require families to return to hospital for imaging. In this work, we extract structural biomarkers from MRI acquired both before and at TEA in a cohort of very preterm infants from the PPREMO and PREBO studies (n = 100), to determine if either time-point, or both combined, are predictive of both Bayley Scales of Infant and Toddler Development - Third Edition (Bayley-III) and the Neuro-sensory Motor Developmental Assessment (NSMDA) at 2 years. Using multivariable regression, moderately strong and statistically significant associations were found between brain structure on both early and TEA MRIs with 2-year outcomes (r = 0.39-0.55 for early MRI, r = 0.37-0.49 for Term MRI, r = 0.37-0.56 for early and TEA MRI combined). Importantly, brain biomarkers associated with early childhood outcomes from MRIs were identified, including white and grey matter volumes, deep grey matter and cerebellar volumes, and gyrification and surface area across the whole cortex. Early MRI showed the best prognostic accuracy along with combining timepoints, indicating the potential clinical benefit of Early MRI in predicting adverse outcomes.

Indexed as

BiomarkersCerebral palsyMagnetic resonance imagingNeurodevelopmental impairmentPredictionPreterm infantsStructural

Identifiers

PMID40567445
PMCPMC12172852

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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.