Anatomical configurations associated with posthemorrhagic hydrocephalus among premature infants with intraventricular

Hannah M Tully1,2, Tara L Wenger3, Walter A Kukull4

  • 1Departments of 1 Neurology.

Neurosurgical Focus
|November 2, 2016
PubMed

Insights

Intraventricular hemorrhage (IVH) in premature infants can lead to posthemorrhagic hydrocephalus (PHH). This study found intraventricular obstruction and infratentorial crowding are key factors associated with PHH development.

Area of Science:

  • Neonatal neurology
  • Pediatric neurosurgery
  • Medical imaging in neonates

Background:

  • Intraventricular hemorrhage (IVH) is a common complication in premature infants.
  • IVH can lead to ventricular dilation, potentially progressing to posthemorrhagic hydrocephalus (PHH).
  • Identifying anatomical predictors of PHH is crucial for timely intervention.

Purpose of the Study:

  • To investigate anatomical factors predisposing premature infants with Grade III or IV IVH to PHH.
  • To compare infants with PHH to those with resolved ventricular dilation (RVD) and healthy controls.
  • To identify potential imaging biomarkers for surgical planning.

Main Methods:

  • Retrospective analysis of 110 premature infants with Grade III or IV IVH (2004-2014).
  • Assessment of cerebrospinal fluid (CSF) obstruction patterns, skull shape, and brain/skull ratios using ultrasound and MR images.
  • Comparison of infants with PHH, RVD, and healthy controls.

Main Results:

  • 59% of infants with IVH developed PHH.
  • Intraventricular CSF obstruction was present in 86% of infants with PHH but absent in those with RVD (p < 0.001).
  • Infants with PHH showed infratentorial crowding (increased brain/skull ratio), while RVD infants showed less crowding compared to controls.

Conclusions:

  • Intraventricular obstruction and infratentorial crowding are strongly associated with PHH in premature infants with IVH.
  • Brain MRI is essential for surgical planning in these infants.
  • Further prospective studies are needed to establish causality and predictive value of these factors.