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Modelling 3D craniofacial growth trajectories for population comparison and classification illustrated using sex-differences
Abstract
Many disorders present with characteristic abnormalities of the craniofacial complex. Precise descriptions of how and when these abnormalities emerge and change during childhood and adolescence can inform our understanding of their underlying pathology and facilitate diagnosis from craniofacial shape. In this paper we develop a framework for analysing how anatomical differences between populations emerge and change over time, and for binary group classification that adapts to the age of each participant. As a proxy for a disease-control comparison we use a database of 3D photographs of normally developing boys and girls to examine emerging sex-differences. Essentially we define 3D craniofacial ‘growth curves’ for each sex. Differences in the forehead, upper lip, chin and nose emerge primarily from different growth rates between the groups, whereas differences in the buccal region involve different growth directions. Differences in the forehead, buccal region and chin are evident before puberty, challenging the view that sex differences result from pubertal hormone levels. Classification accuracy was best for older children. This paper represents a significant methodological advance for the study of facial differences between growing populations and comprehensively describes developing craniofacial sex differences.
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Matthews et al. [59] reported different peaks in the rate of growth, with girls' growth accelerating from approximately 11 years and boys' from approximately age twelve.
“Similarly, Matthews et al. [59] reported different peaks in the rate of growth, with girls’ growth accelerating from approximately 11 years of age and boys’ accelerating from approximately age twelve.”
From Simulation of facial growth based on longitudinal data: Age progression and age regression between 7 and 17 years of age using 3D surface data (2019) · cites this paper as [59]
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- Farkas, L. G. Anthropometry of the Head and Face. (Raven Press, 1994).
- Claes, P., Walters, M. & Clement, J. Improved facial outcome assessment using a 3D anthropometric mask. Int. J. Oral Maxillofac. Surg. 41, 324–330 (2012). · DOI
- Hutton, T. J., Buxton, B. F. & Hammond, P. In BMVC. (eds R Harvey & A Bangham) 439-448 (Citeseer, 2003).
- Hammond, P. et al. Discriminating power of localized three-dimensional facial morphology. Am. J. Hum. Genet. 77, 999–1010 (2005). · DOI
- Suttie, M. et al. Facial dysmorphism across the fetal alcohol spectrum. Pediatrics 131, e779–e788 (2013). · DOI
- Hammond, P. & Suttie, M. Large‐scale objective phenotyping of 3D facial morphology. Hum. Mutat. 33, 817–825 (2012). · DOI
- Cox-Brinkman, J. et al. Three-dimensional face shape in Fabry disease. Eur. J. Hum. Genet. 15, 535–542 (2007). · DOI
- Hammond, P. et al. Fine-grained facial phenotype–genotype analysis in Wolf–Hirschhorn syndrome. Eur. J. Hum. Genet. 20, 33–40 (2012). · DOI
- Shaweesh, A., Clement, J., Thomas, C. & Bankier, A. Construction and use of facial archetypes in anthropology and syndrome diagnosis. Forensic Sci. Int. 159, S175–S185 (2006). · DOI
- Hammond, P. The use of 3D face shape modelling in dysmorphology. Arch. Dis. Child. 92, 1120–1126 (2007). · DOI
- Hutton, T. J., Buxton, B. F., Hammond, P. & Potts, H. W. Estimating average growth trajectories in shape-space using kernel smoothing. IEEE Trans. Med. Imaging 22, 747–753 (2003). · DOI · Paper page
- Nadaraya, E. A. On estimating regression. Theory of Probability & Its Applications 9, 141–142 (1964). · DOI · Paper page
- Watson, G. S. Smooth regression analysis. Sankhyā: The Indian Journal of Statistics, Series A, 359–372 (1964).
- Matthews, H. et al. Spatially dense morphometrics of craniofacial sexual dimorphism in one year-olds. J. Anat. 229, 549–559 (2016). · DOI
- Claes, P. et al. Sexual dimorphism in multiple aspects of 3D facial symmetry and asymmetry defined by spatially dense geometric morphometrics. J. Anat. 221, 97–114 (2012). · DOI
- Claes, P. et al. Dysmorphometrics: The modelling of morphological abnormality. Theoretical Biology and Medical Modelling 9 (2012). · DOI
- Wold, S., Ruhe, A., Wold, H. & Dunn, I. WJ. The collinearity problem in linear regression. The partial least squares (PLS) approach to generalized inverses. SIAM J. Sci. Stat. Comp. 5, 735–743 (1984). · DOI · Paper page
- Shrimpton, S. et al. A spatially-dense regression study of facial form and tissue depth: Towards an interactive tool for craniofacial reconstruction. Forensic Sci. Int. 234, 103–110 (2014). · DOI
- Krstajic, D., Buturovic, L. J., Leahy, D. E. & Thomas, S. Cross-validation pitfalls when selecting and assessing regression and classification models. J. Cheminform. 6, 10 (2014). · DOI · Paper page
- Dryden, I. L. & Mardia, K. V. Statistical shape analysis. Vol. 4 (Wiley Chichester, 1998).
- Claes, P. et al. Modelling 3D facial shape from DNA. PLoS Genet. 10 (2014). · DOI
- Hennessy, R. J., McLearie, S., Kinsella, A. & Waddington, J. L. Facial surface analysis by 3D laser scanning and geometric morphometrics in relation to sexual dimorphism in cerebral–craniofacial morphogenesis and cognitive function. J. Anat. 207, 283–295 (2005). · DOI
- Velemínská, J. et al. Surface facial modelling and allometry in relation to sexual dimorphism. HOMO 63, 81–93 (2012). · DOI · Paper page
- Bulygina, E., Mitteroecker, P. & Aiello, L. Ontogeny of facial dimorphism and patterns of individual development within one human population. Am. J. Phys. Anthropol. 131, 432–443 (2006). · DOI · Paper page
- Shearer, B. M., Sholts, S. B., Garvin, H. M. & Wärmländer, S. K. Sexual dimorphism in human browridge volume measured from 3D models of dry crania: a new digital morphometrics approach. Forensic Sci. Int. 222, 400. e401–400. e405 (2012). · DOI
- Garvin, H. M. & Ruff, C. B. Sexual dimorphism in skeletal browridge and chin morphologies determined using a new quantitative method. Am. J. Phys. Anthropol. 147, 661–670 (2012). · DOI
- Petaros, A., Garvin, H. M., Sholts, S. B., Schlager, S. & Wärmländer, S. K. Sexual dimorphism and regional variation in human frontal bone inclination measured via digital 3D models. Leg. Med. 29, 53–61 (2017). · DOI
- Manhein, M. H. et al. In vivo facial tissue depth measurements for children and adults. Journal of Forensic Science 45, 48–60 (2000). · DOI
- Rosas, A. & Bastir, M. Thin-plate spline analysis of allometry and sexual dimorphism in the human craniofacial complex. Am. J. Phys. Anthropol. 117, 236–245 (2002). · DOI
- Enlow, D. H. & Hans, M. G. Essentials of Facial Growth. (WB Saunders Company, 1996).
- Bernstein, R. M. Hormones and human and nonhuman primate growth. Horm. Res. Paediatr. 88, 15–21 (2017). · DOI
- Gaži-Čoklica, V., Muretić, Ž., Brčić, R., Kern, J. & Miličić, A. Craniofacial parameters during growth from the deciduous to permanent dentition—a longitudinal study. Eur. J. Orthod. 19, 681–689 (1997). · DOI
- Kesterke, M. J. et al. Using the 3D Facial Norms Database to investigate craniofacial sexual dimorphism in healthy children, adolescents, and adults. Biol. Sex Differ. 7, 1 (2016). · DOI
- Joffe, T. H. et al. Fetal and infant head circumference sexual dimorphism in primates. Am. J. Phys. Anthropol. 126, 97–110 (2005). · DOI
- Neave, N., Laing, S., Fink, B. & Manning, J. T. Second to fourth digit ratio, testosterone and perceived male dominance. Proc. R. Soc. Lond. B. Biol. Sci. 270, 2167–2172 (2003). · DOI
- Schaefer, K., Fink, B., Mitteroecker, P., Neave, N. & Bookstein, F. L. Visualizing facial shape regression upon 2nd to 4th digit ratio and testosterone. Coll. Antropol. 29, (415–419 (2005).
- Weinberg, S. M., Parsons, T. E., Raffensperger, Z. D. & Marazita, M. L. Prenatal sex hormones, digit ratio, and face shape in adult males. Orthod. Craniofac. Res. 18, 21–26 (2015). · DOI
- Shea, B. T. Ontogenetic approaches to sexual dimorphism in anthropoids. Hum. Evol. 1, 97–110 (1986). · DOI
- Hastie, T., Tibshirani, R. & Friedman, J. The Elements of Statistical Learning. (Springer, 2001). · DOI · Paper page
- Hammond, P. et al. 3D analysis of facial morphology. Am. J. Med. Genet. A 126, 339–348 (2004). · DOI
- Weinberg, S. M. et al. Three-dimensional morphometric analysis of craniofacial shape in the unaffected relatives of individuals with nonsyndromic orofacial clefts: a possible marker for genetic susceptibility. Am. J. Med. Genet. A 146, 409–420 (2008). · DOI
- Hoyme, H. E. et al. Updated clinical guidelines for diagnosing fetal alcohol spectrum disorders. Pediatrics 138 (2016). · DOI · Paper page
- Muggli, E. et al. Association between prenatal alcohol exposure and craniofacial shape of children at 12 months of age. JAMA Pediatrics 171, 771–780 (2017). · DOI
- Streissguth, A. et al. Fetal alcohol syndrome in adolescents and adults. JAMA 265, 1961–1967 (1991). · DOI
- Klingenberg, C. P. IN Advances in morphometrics (eds Leslie F Marcus et al.) 23-49 (Springer, 1996). · DOI
Cited by
Sorted by citations
Koudelová, J., Hoffmannová, E., Dupej, J., & Velemínská, J. (2019) · PLOS ONE · doi:10.1371/journal.pone.0212618 · Cited by 33
Metadata
- Authors
- Matthews, H. S., Penington, A. J., Hardiman, R., Fan, Y., Clement, J. G., Kilpatrick, N. M., & Claes, P. D.
- ORCID
- Claes, Peter D.
- Venue
- Scientific Reports
- Published
- 2018-03-19
- Volume
- 8
- Issue
- 1
- ISSN
- 2045-2322
- PMC
- PMC5859289
- Cited by
- 62
- References
- 0
- Language
- en
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