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Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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Normative reference data for intracranial volume in children: The results of CT volumetry

L A Satanin1, A A Evteev2, S G Rudnev3

  • 1Department of Pediatric Neurosurgery, Burdenko National Medical Research Center for Neurosurgery, Moscow, Russia. lsatanin@nsi.ru.

Child'S Nervous System : Chns : Official Journal of the International Society for Pediatric Neurosurgery
|February 23, 2024
PubMed

Insights

This study provides crucial intracranial volume (ICV) growth charts for Russian children aged 0-17, addressing a gap in pediatric standards. These charts, based on CT scans, aid clinical practice in assessing brain and skull development.

Area of Science:

  • Pediatric Radiology
  • Neuroimaging
  • Biostatistics

Background:

  • Intracranial volume (ICV) is a key metric for assessing pediatric brain and skull development.
  • Existing ICV growth standards lack sufficient data from large pediatric cohorts.
  • There is a clinical need for reliable ICV reference ranges in children.

Purpose of the Study:

  • To establish normal intracranial volume (ICV) variation ranges in Russian children.
  • To develop sex-specific ICV growth standards for clinical application.
  • To validate a modern automated system for ICV estimation.

Main Methods:

  • High-resolution head CT scans from 673 healthy children (0-17 years) were analyzed.
  • Intracranial volume (ICV) was estimated using the Endex software system.
  • RefCurv software with GAMLSS and LMS methods generated age- and sex-specific centile growth references.

Main Results:

  • Endex software-derived ICV estimates demonstrated high comparability with conventional methods.
  • Sex-specific pediatric growth charts for intracranial volume (ICV) were successfully constructed.
  • Smooth centile references for ICV were generated based on age and sex.

Conclusions:

  • This research provides validated ICV growth charts for clinical use in children aged 0-17.
  • The study utilized a robust sample size of 673 high-resolution CT images.
  • The developed charts support accurate assessment of pediatric brain and skull development.
Abstract

Keywords:
ChildrenComputed tomographyGAMLSSGrowth chartsIntracranial volumeLMS methodNormal variationRefCurv

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