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Classification of the Skeletal Variation in Normal Occlusion

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Authors
Kim, Ji-Young; Lee, Shin-Jae; Kim, Tae-Woo; Nahm, Dong-Seok; Chang, Young-Il
Issue Date
2005
Publisher
E.H Angle Education and Research Foundation
Citation
Angle Orthod. 2005;75(3):311-319
Keywords
Skeletal typingPrincipal component analysisCluster analysis
Abstract
The aims of this study were to classify normal occlusion samples into specific skeletal types
and to analyze the dentoalveolar compensation in a normal occlusion in order to provide the clinically
applicable differential diagnostic criteria for an individual malocclusion patient. Lateral cephalograms of
294 normal occlusion samples, who were selected from 15,836 adults through a community dental health
survey, were measured. Using a principal component analysis, two factors representing the anteroposterior
and vertical skeletal relationships were extracted from 18 skeletal variables. Cluster analysis was then used
to classify the skeletal patterns into nine types. Nine types of polygonal charts with a profilogram were
created. Discriminant analysis with a stepwise entry of variables was designed to identify several potential
variables for skeletal typing, which could be linked with computerized cephalometric analysis for an
individual malocclusion patient. Discriminant analysis assigned 87.8% classification accuracy to the predictive
model. It was concluded that because the range of a normal occlusion includes quite diverse
anteroposterior and vertical skeletal relationships, classifying the skeletal pattern and establishing an individual
dentoalveolar treatment objective might facilitate clinical practice.
ISSN
0003-3219
Language
English
URI
https://hdl.handle.net/10371/66607
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College of Dentistry/School of Dentistry (치과대학/치의학대학원)Dept. of Dentistry (치의학과)Journal Papers (저널논문_치의학과)
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