Literature DB >> 24290254

Three-dimensional facial distances of Northern Sudanese persons from childhood to young adulthood.

Chiarella Sforza1, Claudia Dolci2, Davide G Tommasi2, Luca Pisoni2, Marcio De Menezes2, Fadil Elamin3.   

Abstract

No current age- and gender-related normative data exist for the dimensions of facial structures in Northern Sudanese subjects. In the current study information about normal sex- and age-related linear distances is provided. The three-dimensional coordinates of 14 landmarks on the facial soft tissues were obtained using a hand-held laser scanner in 653 healthy Northern Sudanese subjects (326 males and 327 females) aged 4-30 years. From the landmarks, 13 linear distances were calculated, and averaged for age and sex. Comparisons were performed by factorial analysis of variance. All analyzed linear soft tissue facial dimensions were significantly larger in men than in women (p < 0.01), except mouth width (ch-ch), upper facial height (n-sn), mandibular body length (pg-go) and width (go-go). All measurements underwent significant modifications as a function of age (p < 0.01), with significant age × sex interactions (p < 0.01) for all linear dimensions except lower face height (sn-pg). Overall, when compared to literature data for African and Caucasoid subjects, several differences were found, pointing to the necessity of ethnic-specific data. Data collected in the present investigation could serve as a database for the quantitative description of human facial morphology during normal growth and development.
Copyright © 2013 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aging; Digital anthropometry; Face; Growth; Northern Sudanese

Mesh:

Year:  2013        PMID: 24290254     DOI: 10.1016/j.jcms.2013.10.013

Source DB:  PubMed          Journal:  J Craniomaxillofac Surg        ISSN: 1010-5182            Impact factor:   2.078


  3 in total

1.  3D analysis of child facial dimensions for design of medical devices in low-middle income countries (LMIC).

Authors:  Israel Amirav; Claude Kasereka Masumbuko; Michael T Hawkes; Ian Solomon; Yossi Aldar; Gil Margalit; Alon Zvirin; Yaron Honen; Eugenie Sahika Sivasivugha; Ron Kimmel
Journal:  PLoS One       Date:  2019-05-23       Impact factor: 3.240

2.  Workflow and Strategies for Recruitment and Retention in Longitudinal 3D Craniofacial Imaging Study.

Authors:  Rafael Denadai; Junior Chun-Yu Tu; Ya-Ru Tsai; Yi-Ning Tsai; Emma Yuh-Jia Hsieh; Betty Cj Pai; Chih-Hao Chen; Alex Kane; Lun-Jou Lo; Pang-Yun Chou
Journal:  Int J Environ Res Public Health       Date:  2019-11-12       Impact factor: 3.390

3.  A longitudinal study of facial growth of Southern Chinese in Hong Kong: Comprehensive photogrammetric analyses.

Authors:  Yi Feng Wen; Hai Ming Wong; Colman Patrick McGrath
Journal:  PLoS One       Date:  2017-10-20       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.