Predicting adult facial type from mandibular landmark data at young ages

Heesoo Oh, Ryan Knigge, Anna Hardin, Richard Sherwood, Dana Duren, Manish Valiathan, Emily Leary, Kieran McNulty

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Objectives: To assess the potential of predicting adult facial types at different stages of mandibular development. Setting and Sample Population: A total of 941 participants from the Bolton-Brush, Denver, Fels, Iowa, Michigan and Oregon growth studies with longitudinal lateral cephalograms (total of 7166) between ages 6-21 years. Material and Methods: Each participant was placed into one of three facial types based on mandibular plane angle (MPA) from cephalograms taken closest to 18 years of age (range of 15-21 years): hypo-divergent (MPA < 28°), normo-divergent (28°≤ MPA ≤ 39°) and hyper-divergent (MPA > 39°). Cephalograms were categorized into 13 age groups 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 and 18-21. Twenty-three two-dimensional anatomical landmarks were digitized on the mandible and superimposed using generalized Procrustes analysis, which projects landmarks into a common shape space. Data were analysed within age categories using stepwise discriminant analysis to identify landmarks that distinguish adult facial types and by jackknife cross-validation to test how well young individuals can be reclassified into their adult facial types. Results: Although each category has multiple best discriminating landmarks among adult types, three landmarks were common across nearly all age categories: menton, gonion and articulare. Individuals were correctly classified better than chance, even among the youngest age category. Cross-validation rates improved with age, and hyper- and hypo-divergent groups have better reclassification rates than the normo-divergent group. Conclusions: The discovery of important indicators of adult facial type in the developing mandible helps improve our capacity to predict adult facial types at a younger age.

Original languageEnglish (US)
Pages (from-to)154-162
Number of pages9
JournalOrthodontics and Craniofacial Research
Volume22
Issue numberS1
DOIs
StatePublished - May 2019

Bibliographical note

Funding Information:
We are grateful to the AAOF Craniofacial Growth Legacy Collection. Research reported in this publication was supported by the National Institute of Dental & Craniofacial Research of the National Institutes of Health under Award Number R01DE024732. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Keywords

  • facial type
  • geometric morphometrics
  • longitudinal growth
  • mandibular shape

PubMed: MeSH publication types

  • Journal Article

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