Craniofacial morphology: a principal component analysis.
A series of 56 measurements was derived from lateral cephalometric radiographs of a large sample of subjects. These measurements were subjected to a principal-component analysis which resulted in a series of six components (factors). These factors, represented in general terms and in rank order of their percentage sample variability were as follows: Factor 1. Vertical facial characteristics Factor 2. Anteroposterior aspects of facial morphology Factor 3. Midfacial and dental protrusion Factor 4. Relationship of the mandible and dentition to the profile Factor 5. Horizontal base-line relationships (internal or deep) Factor 6. Maxillary incisor relationships These principal components and the variables contained within them were shown to have sex and age interactions. A longitudinal study of the principal component changes with age was then undertaken. Demonstrable age changes were verified for Factors 1, 2, and 3, and Factors 1 and 3 were observed to show patterns of change which were statistically different from each other and the remaining principal components. An orthodontically treated sample of patients was also assessed for factor changes. Factors 1 and 2 were found to show statistically reliable changes resulting from treatment and/or growth. The remaining four factors showed no statistically supportable alteration. The data-reduction method involving a principal-component analysis would seem to have potential research and clinical applications.
D000293:Adolescent; D000328:Adult; D000367:Age Factors; D002508:Cephalometry / Q000379:methods*; D002648:Child; D003817:Dentition / Q000033:anatomy & histology; D005145:Face / Q000033:anatomy & histology*; D006801:Humans; D007180:Incisor / Q000033:anatomy & histology; D007568:Jaw / Q000033:anatomy & histology; D008137:Longitudinal Studies; D008445:Maxillofacial Development; D008954:Models, Biological; D009971:Orthodontics, Corrective; D012737:Sex Factors; D012886:Skull / Q000033:anatomy & histology*; D014716:Vertical Dimension