Is sequential cranial ultrasound reliable for detection of white matter injury in very preterm infants?

Lara M Leijser1, Francisca T de Bruïne, Jeroen van der Grond

  • 1Department of Pediatrics, Division of Neonatology, J6-S, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands.

Neuroradiology
|March 10, 2010
PubMed

Insights

Sequential cranial ultrasounds (cUS) can detect severe white matter (WM) injury in preterm infants, but magnetic resonance imaging (MRI) is more reliable for milder cases.

Area of Science:

  • Neonatal neurology
  • Pediatric neuroimaging
  • Developmental neuroscience

Background:

  • Cranial ultrasound (cUS) may have limitations in accurately detecting diffuse white matter (WM) injury in neonates.
  • Reliable assessment of WM injury is crucial for very preterm infants.

Purpose of the Study:

  • To evaluate the reliability of a sequential cUS classification system for WM injury in very preterm infants.
  • To compare sequential cUS findings with magnetic resonance imaging (MRI) as the reference standard.

Main Methods:

  • 110 very preterm infants (gestational age <32 weeks) underwent serial cUS and MRI around term equivalent age (TEA).
  • cUS and MRI were assessed for WM and lateral ventricle abnormalities.
  • A classification system (normal/mildly, moderately, severely abnormal) was applied to sequential cUS and MRI data.

Main Results:

  • Sequential cUS classified infants as normal/mildly abnormal (22%), moderately abnormal (65%), and severely abnormal (13%).
  • MRI classifications were 30%, 52%, and 18% for normal/mildly, moderately, and severely abnormal, respectively.
  • The positive predictive value of cUS was high for severe WM injury (0.79) but lower for mild (0.67) and moderate (0.64) abnormalities.

Conclusions:

  • Sequential cUS reliably detects severe WM injury in very preterm infants.
  • cUS is less reliable for diagnosing mild and moderate WM injury.
  • MRI around TEA is recommended for accurate detection of WM injury in this population.
Abstract

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