Back to Search Start Over

Cross Sectional Analysis of Eurasian Skull Anatomy for 3D Cephalometry—Normative Data Reveal Four Different Skull Types.

Authors :
Ludwigs, Leon
Pape, Christian
Visse, Helena Sophie
Runte, Christoph
Meyer, Ulrich
Dirksen, Dieter
Source :
Journal of Personalized Medicine. Jun2023, Vol. 13 Issue 6, p1018. 13p.
Publication Year :
2023

Abstract

The unsolved problem in three-dimensional surgical planning for patients with facial deformity, dysgnathia, or asymmetry is the lack of a normative database of "norm skulls" that can be used as treatment objectives. A study was conducted on 90 Eurasian persons (46 male and 44 female adults) for whom cone beam-computed tomography images were available. Inclusion criteria were adult patients with a skeletal Class I pattern, proper interincisal relationship with normal occlusion, the absence of an open bite both in the anterior and posterior region, and a normal and balanced facial appearance; patients with dysgnathia and malformations were excluded. A total of 18 landmarks were digitized and 3D cephalometric measurements were performed and analyzed by means of proportions calculated from the landmarks. Male and female skulls were analyzed, as well as subdivisions revealed by cluster analysis. The data showed that four subtypes of skulls were distinguishable with statistical significance (p < 0.05). A male and a female type subdivided in a brachiocephalic and dolichocephalic phenotype could be identified. For each type, a mean shape was calculated by a Procrustes transformation, which, in turn, was used to create four template skulls from a male and a female skull. This was accomplished by fitting the polygon models of the two skulls to each of the two subtypes based on the landmarks marked on them using a thin plate spline transformation. The normative data of the subtypes can individually serve as a guide for orthodontic surgery in the Eurasian population, which is especially helpful in 3D planning and the execution of craniofacial operations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20754426
Volume :
13
Issue :
6
Database :
Academic Search Index
Journal :
Journal of Personalized Medicine
Publication Type :
Academic Journal
Accession number :
164685319
Full Text :
https://doi.org/10.3390/jpm13061018