Longitudinal composite 3D faces and facial growth trends in children 6-11 years of age using 3D cephalometric surface

Bar Y Ainuz1,2, Rami R Hallac1,2, Alex A Kane1,2

  • 1Department of Plastic and Reconstructive Surgery, University of Texas Southwestern School of Medicine, Dallas, TX, USA.

Annals of Human Biology
|December 21, 2021
PubMed

Insights

This study establishes 3D normative craniofacial data for children aged 6-11 years, detailing facial growth trends. These findings provide essential reference values for diagnosing and treating craniofacial conditions.

Area of Science:

  • Craniofacial anthropometry
  • Pediatric growth and development
  • 3D imaging technologies

Background:

  • Normative craniofacial anthropometry is crucial for treating craniofacial conditions.
  • Objective datasets for pediatric craniofacial normative data are scarce.

Purpose of the Study:

  • To establish normative data for craniofacial morphology changes during childhood growth.
  • To create a longitudinal 3D dataset for pediatric facial growth reference.

Main Methods:

  • Longitudinal 3D surface imaging of healthy children (6-11 years) over six years.
  • Creation of composite 3D cephalometric faces for boys and girls annually.
  • Comparison of general and craniofacial anthropometric measurements.

Main Results:

  • Analysis of 791 stereophotogrammetric acquisitions from 180 children (400 boys, 391 girls).
  • Consistent increases in linear facial, orbital, nasal, and oral measurements with age.
  • Identified vertical and anteroposterior growth trends in facial regions.

Conclusions:

  • Presents a 6-year longitudinal 3D control dataset serving as reference norms for pediatric facial growth (ages 6-11).
  • Composite 3D normative faces are available for clinical and research applications.
  • Provides valuable data for understanding typical craniofacial development.
Abstract