Normal growth curve of choroid plexus in children: implications for assessing hydrocephalus due to choroid plexus

Hiroaki Hashimoto1,2, Osamu Takemoto1, Keisuke Nishimoto1

  • 11Department of Neurosurgery, Osaka Women's and Children's Hospital, Izumi, Osaka, Japan; and.

PubMed

Insights

This study establishes normal growth curves for pediatric intracranial, choroid plexus, and lateral ventricle volumes. These curves aid in objectively assessing hydrocephalus and choroid plexus hyperplasia (CPH).

Area of Science:

  • Pediatric neuroimaging
  • Cerebrospinal fluid dynamics
  • Developmental anatomy

Background:

  • Pediatric hydrocephalus evaluation necessitates understanding intracranial structure growth.
  • Limited data exists on normal choroid plexus growth in children.
  • Accurate growth curves are crucial for diagnosing conditions like hydrocephalus.

Purpose of the Study:

  • To develop normative growth curves for intracranial volume, choroid plexus volume, and lateral ventricles volume in children.
  • To objectively quantify hydrocephalus severity in cases of choroid plexus hyperplasia (CPH).
  • To evaluate the impact of surgical interventions on these volumes.

Main Methods:

  • Retrospective analysis of 229 pediatric head CT scans (ages 0-10).
  • Segmentation and volume calculation for intracranial, choroid plexus, and lateral ventricles.
  • Creation of age-specific growth curves and z-normalization for CPH assessment.

Main Results:

  • Positive correlations found between intracranial, choroid plexus, and lateral ventricles volumes.
  • Rapid growth observed until ~1-2 years, followed by plateauing.
  • CPH cases showed significantly elevated z-normalized volumes for choroid plexus and lateral ventricles.
  • Surgical interventions led to improvements in normalized volumes.

Conclusions:

  • Provides essential normative growth data for pediatric intracranial and ventricular volumes.
  • Enables objective assessment of hydrocephalus and CPH using z-scores.
  • Highlights the utility of quantitative imaging in evaluating treatment efficacy.
Abstract