Smith, Olivia A.M., Nashed, Youssef S.G., Duncan, Christian et al. (3 more authors) (2020) 3D Modeling of craniofacial ontogeny and sexual dimorphism in children. Anatomical Record. ISSN 1932-8494
Abstract
Background: The range of normal variation of growth and development of the craniofacial region is of direct clinical interest but incompletely understood. Here we develop a statistical model of craniofacial growth and development to compare craniofacial ontogeny between age groups and sexes and pilot an approach to modeling that is relatively straightforward to apply in the context of clinical research and assessment. Methods: The sample comprises head surface meshes captured using a 3dMD five-camera system from 65 males and 47 females (range 3–20 years) from the Headspace project, Liverpool, UK. The surface meshes were parameterized using 16 anatomical landmarks and 59 semilandmarks on curves and surfaces. Modes and degrees of growth and development were assessed and compared among ages and sexes using Procrustes based geometric morphometric methods. Results: Regression analyses indicate that 3–10 year olds undergo greater changes than 11–20 year olds and that craniofacial growth and development differs between these age groups. The analyses indicate that males extend growth allometrically into larger size ranges, contributing substantially to adult dimorphism. Comparisons of ontogenetic trajectories between sexes find no significant differences, yet when hypermorphosis is accounted for in the older age group there is a significant residual sexual dimorphism. Conclusions: The study adds to knowledge of how adult craniofacial form and sexual dimorphism develop. It was carried out using readily available software which facilitates replication of this work in diverse populations to underpin clinical assessment of deformity and the outcomes of corrective interventions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 American Association for Anatomy. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details |
Keywords: | 3D scanning,human facial growth,Morphometrics,sexual dimorphism |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Hull York Medical School (York) The University of York > Faculty of Sciences (York) > Computer Science (York) The University of York > Faculty of Arts and Humanities (York) > Archaeology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 10 Feb 2021 16:20 |
Last Modified: | 07 Feb 2025 00:30 |
Published Version: | https://doi.org/10.1002/ar.24582 |
Status: | Published online |
Refereed: | Yes |
Identification Number: | 10.1002/ar.24582 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:170997 |
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