Cerebral Ultrasound at Term-Equivalent Age: Correlations with Neuro-Motor Outcomes at 12-24 Months Corrected Age

Adrian Ioan Toma1,2, Vlad Dima3, Lidia Rusu4

  • 1Life Memorial Hospital, 010719 Bucharest, Romania.

PubMed

Insights

Cerebral ultrasound findings at term-equivalent age correlate with neuro-motor outcomes in preterm infants. Abnormalities in white and grey matter on ultrasound predict motor deficits at 12 and 24 months corrected age.

Area of Science:

  • Neonatal Neurology
  • Developmental Pediatrics
  • Neuroimaging

Background:

  • Preterm infants face risks of neurodevelopmental impairments.
  • Cerebral ultrasound is a key tool for assessing brain structure in neonates.
  • Early identification of neuro-motor risks is crucial for timely intervention.

Purpose of the Study:

  • To correlate cerebral ultrasound findings at term-equivalent age (TEA) with neuro-motor outcomes at 12 and 24 months corrected age in preterm infants.
  • To identify specific ultrasound markers predictive of gross and fine motor deficits.
  • To investigate the involvement of both white and grey matter structures.

Main Methods:

  • Cerebral ultrasound assessed parameters like ventricular size, basal ganglia diameter, and cortical depth at TEA.
  • Neuro-motor development evaluated using the Amiel Tison neurologic examination and motor acquisition milestones.
  • Statistical analysis (FANOVA test) used to determine significant associations (p < 0.05).

Main Results:

  • Abnormal gross motor skills at 12 and 24 months correlated with increased ventricular midbody size and decreased basal ganglia diameter.
  • At 24 months, impaired motor outcomes also associated with decreased cortical depth and immature gyral patterns.
  • Fine motor deficits showed similar associations, particularly with ventricular size and gyral maturation.

Conclusions:

  • Cerebral ultrasound findings at TEA are significantly associated with neuro-motor outcomes in preterm infants.
  • Ultrasound can detect both white matter (ventricular size) and grey matter (basal ganglia, cortex, gyration) abnormalities.
  • These findings highlight the utility of neonatal neuroimaging for predicting long-term neurodevelopmental trajectories.