[Craniofacial characters for Angle's class II malocclusion using Procrusts superimposition and multivariate statistics].
OBJECTIVE
Cluster and discriminant analysis of the morphological characters of Angle's Class II malocclusion was performed using Procrusts standardization. The classification of craniofacial morphology with the help of morphometry and multivariate statistics was also discussed.


METHODS
A total of 894 class II patients were collected from the department of orthodontic, Peking University School and Hospital of Stomatology during 1997-2000. Using Procrusts standardization and cluster analysis, the samples were divided into different groups, discrimination equations were then established.


RESULTS
The samples were divided into 11 subdivisions by Procrusts superimposition and cluster analysis. Three discrimination equations were established. The accuracy rate of cross-validated grouped cases was 80.17%.


CONCLUSIONS
Procrusts standardization had certain advantages in morphological classification; cluster analysis could be used in classification of Angle class II malocclusion; For different types, the differentiate rate was not the same; the discrimination equations was the foundation for future research.
Na
Bin
B
Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing 100081, China.
Xu
Tian-min
TM
Lin
Jiu-xiang
JX
D000293:Adolescent; D000328:Adult; D002508:Cephalometry / Q000379:methods*; D002648:Child; D016000:Cluster Analysis; D016002:Discriminant Analysis; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008297:Male; D008312:Malocclusion, Angle Class II / Q000000981:diagnostic imaging* / Q000473:pathology; D008875:Middle Aged; D011859:Radiography; D012886:Skull / Q000000981:diagnostic imaging*; D055815:Young Adult