Consensus Classification of Brain Injury Predicts Long-Term Neurodevelopmental Outcomes in Neonates With

Basel Thayyil1, James N Scott2, Alia Embaireeg1

  • 1Section of Neonatology, Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada.

Pediatric Neurology
|July 31, 2026
PubMed

Insights

The Canadian MRI classification system accurately predicts neurodevelopmental outcomes in infants treated for hypoxic-ischemic encephalopathy. Grey matter scores are highly specific for predicting death or severe impairment, while total MRI scores best identify cerebral palsy risk.

Area of Science:

  • Neonatal Neurology
  • Neuroimaging
  • Developmental Pediatrics

Background:

  • Accurate prognostication is crucial for managing neonatal hypoxic-ischemic encephalopathy (HIE).
  • Therapeutic hypothermia is a standard treatment for moderate-to-severe HIE.
  • Evaluating predictive tools for long-term outcomes is essential.

Purpose of the Study:

  • To assess the predictive capability of the Canadian standardized magnetic resonance imaging (MRI) classification system.
  • To determine the system's effectiveness in neonates treated with therapeutic hypothermia.
  • To correlate MRI findings with long-term neurodevelopmental outcomes.

Main Methods:

  • Retrospective cohort study of 172 neonates with moderate-to-severe HIE.
  • Therapeutic hypothermia administered between 2014-2020.
  • MRI scans analyzed using the Canadian consensus system; outcomes assessed at 18-24 months.

Main Results:

  • Grey matter (GM) scores showed 80.8% sensitivity and 93.0% specificity for death or severe neurodevelopmental impairment (sNDI).
  • Total MRI scores demonstrated strong discrimination for cerebral palsy (CP) risk (AUC 0.927).
  • Near-normal MRI had a 99.1% negative predictive value for CP.

Conclusions:

  • The Canadian MRI classification system provides clinically meaningful risk stratification for HIE.
  • GM scores are highly specific for predicting death/sNDI; Total MRI scores best identify CP risk.
  • Structural MRI alone is sufficient for prognostication in this cohort.
Abstract