Verification of the ability of the new MRI classification system to predict neurodevelopmental outcome in very

Masakazu Nishimoto1, Katsumi Hayakawa2, Koichi Tanda2

  • 1Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Kyoto Prefecture, Japan.

Brain & Development
|July 7, 2022
PubMed

Insights

This study evaluated a new MRI classification for white matter injury in very low-birth-weight infants. While the scoring tool

Area of Science:

  • Neonatal neurology
  • Neuroimaging
  • Developmental pediatrics

Background:

  • Very low-birth-weight infants (VLBWI) face significant risks for adverse neurodevelopmental outcomes.
  • A novel classification system for white matter injury (WMI) in VLBWI has been proposed.
  • Investigating WMI and neurodevelopmental outcomes using this new system is crucial.

Purpose of the Study:

  • To assess the relationship between white matter injury grades and neurodevelopmental outcomes in VLBWI.
  • To evaluate the utility of the Martinez-Biarge classification system for predicting outcomes.
  • To determine the frequency of cerebral palsy and intellectual disability based on WMI severity.

Main Methods:

  • A cohort of 131 VLBWI (birth weight <1500g) was analyzed.
  • Brain MRI was performed at term-equivalent age and graded (0-IV) by two radiologists.
  • Neurodevelopmental outcomes, including cerebral palsy (CP) and intellectual disability (ID), were assessed at ≥2 years.

Main Results:

  • Most infants had Grade 0 WMI (87%).
  • Grade I WMI was associated with an 18% CP frequency.
  • All infants with Grade III or IV WMI experienced mild CP and intellectual disability.

Conclusions:

  • The MRI scoring tool showed limited prognostic value overall.
  • Severe WMI (Grade III and IV) strongly correlated with adverse neurodevelopmental outcomes (CP and ID).
  • The classification system demonstrated excellent inter-rater reliability (kappa=0.95).
Abstract

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