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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.

SUBMITTER: Matthews HS

PROVIDER: S-EPMC5859289 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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Modelling 3D craniofacial growth trajectories for population comparison and classification illustrated using sex-differences.

Matthews Harold S HS Penington Anthony J AJ Hardiman Rita R Fan Yi Y Clement John G JG Kilpatrick Nicola M NM Claes Peter D PD

Scientific reports 20180319 1

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 par ...[more]

PMID: 29556038

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Project description:ImportanceIf we assume that women and men exhibit variations of the same fundamental vascular physiology, then conventional analyses of subclinical measures would suggest that women catch up to men by midlife in the extent of potentially important vascular disease. Alternatively, under the assumption that vascular physiology may fundamentally differ between women and men, a sex-specific analysis of existing data could offer new insights and augment our understanding of sex differences in cardiovascular diseases.ObjectiveTo evaluate whether longitudinal patterns of blood pressure (BP) elevation differ between women and men during the life course when considering baseline BP levels as the reference.Design, setting, and participantsWe conducted sex-specific analyses of longitudinal BP measures (144 599 observations) collected for a period of 43 years (1971 to 2014) in 4 community-based US cohort studies. The combined total included 32 833 participants (54% female) spanning ages 5 to 98 years. Data were analyzed between May 4, 2019, and August 5, 2019.ExposuresAge and serially assessed longitudinal BP measures: systolic BP, diastolic BP, mean arterial pressure (MAP), and pulse pressure (PP).Main outcomes and measuresSex-specific change in each primary BP measure compared with baseline BP levels, derived from multilevel longitudinal models fitted over the age span, and new-onset cardiovascular disease events.ResultsOf the 32 833 participants, 17 733 were women (54%). Women compared with men exhibited a steeper increase in BP that began as early as in the third decade and continued through the life course (likelihood ratio test χ2 = 531 for systolic BP; χ2 = 123 for diastolic BP; χ2 = 325 for MAP; and χ2 = 572 for PP; P for all <.001). After adjustment for multiple cardiovascular disease risk factors, these between-sex differences in all BP trajectories persisted (likelihood ratio test χ2 = 314 for systolic BP; χ2 = 31 for diastolic BP; χ2 = 129 for MAP; and χ2 = 485 for PP; P for all <.001).Conclusions and relevanceIn contrast with the notion that important vascular disease processes in women lag behind men by 10 to 20 years, sex-specific analyses indicate that BP measures actually progress more rapidly in women than in men, beginning early in life. This early-onset sexual dimorphism may set the stage for later-life cardiovascular diseases that tend to present differently, not simply later, in women compared with men.

Dataset Information

Modelling 3D craniofacial growth trajectories for population comparison and classification illustrated using sex-differences.

Publications

Modelling 3D craniofacial growth trajectories for population comparison and classification illustrated using sex-differences.

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