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Computational and Mathematical Methods in Medicine
Volume 2015, Article ID 405912, 9 pages
Research Article

Quantitative Assessment of Cervical Vertebral Maturation Using Cone Beam Computed Tomography in Korean Girls

1Department of Orthodontics, Dental Research Institute, Pusan National University Dental Hospital, Geumoro 20, Yangsan 626787, Republic of Korea
2Department of Orthodontics, School of Dentistry, Pusan National University, Yangsan 626870, Republic of Korea
3Department of Orthodontics, Biomedical Research Institute, Pusan National University Hospital, Gudeokro 179, Busan 602739, Republic of Korea
4Department of Orthodontics, School of Dentistry, Showa University, Tokyo 1428555, Japan

Received 13 January 2015; Accepted 13 March 2015

Academic Editor: Chuangyin Dang

Copyright © 2015 Bo-Ram Byun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This study was aimed to examine the correlation between skeletal maturation status and parameters from the odontoid process/body of the second vertebra and the bodies of third and fourth cervical vertebrae and simultaneously build multiple regression models to be able to estimate skeletal maturation status in Korean girls. Hand-wrist radiographs and cone beam computed tomography (CBCT) images were obtained from 74 Korean girls (6–18 years of age). CBCT-generated cervical vertebral maturation (CVM) was used to demarcate the odontoid process and the body of the second cervical vertebra, based on the dentocentral synchondrosis. Correlation coefficient analysis and multiple linear regression analysis were used for each parameter of the cervical vertebrae (). Forty-seven of 64 parameters from CBCT-generated CVM (independent variables) exhibited statistically significant correlations (). The multiple regression model with the greatest had six parameters (PH2/W2, UW2/W2, (OH+AH2)/LW2, UW3/LW3, D3, and H4/W4) as independent variables with a variance inflation factor (VIF) of <2. CBCT-generated CVM was able to include parameters from the second cervical vertebral body and odontoid process, respectively, for the multiple regression models. This suggests that quantitative analysis might be used to estimate skeletal maturation status.