Chang-Hoon Rhee1, Sang Min Shin2, Yong-Seok Choi2, Tetsutaro Yamaguchi3, Koutaro Maki3, Yong-Il Kim4, Seong-Sik Kim1, Soo-Byung Park1, Woo-Sung Son5. 1. Department of Orthodontics, Dental Research Institute, Pusan National University Dental Hospital, Yangsan, South Korea. 2. Department of Statistics, College of Natural Sciences, Pusan National University Dental Hospital, Yangsan, South Korea. 3. Department of Orthodontics, School of Dentistry, Showa University, Tokyo, Japan. 4. Department of Orthodontics, Dental Research Institute, Pusan National University Dental Hospital, Yangsan, South Korea; Department of Orthodontics, Biomedical Research Institute, Pusan National University Hospital, Busan, South Korea. Electronic address: kimyongil@pusan.ac.kr. 5. Department of Orthodontics, Dental Research Institute, Pusan National University Dental Hospital, Yangsan, South Korea. Electronic address: wsson@pusan.ac.kr.
Abstract
OBJECTIVE: From computed tomographic images, the dentocentral synchondrosis can be identified in the second cervical vertebra. This can demarcate the border between the odontoid process and the body of the 2nd cervical vertebra and serve as a good model for the prediction of bone and forensic age. Nevertheless, until now, there has been no application of the 2nd cervical vertebra based on the dentocentral synchondrosis. METHODS: In this study, statistical shape analysis was used to build bone and forensic age estimation regression models. Following the principles of statistical shape analysis and principal components analysis, we used cone-beam computed tomography (CBCT) to evaluate a Japanese population (35 males and 45 females, from 5 to 19 years old). RESULTS: The narrowest prediction intervals among the multivariate regression models were 19.63 for bone age and 2.99 for forensic age. There was no significant difference between form space and shape space in the bone and forensic age estimation models. However, for gender comparison, the bone and forensic age estimation models for males had the higher explanatory power. CONCLUSION: This study derived an improved objective and quantitative method for bone and forensic age estimation based on only the 2nd, 3rd and 4th cervical vertebral shapes.
OBJECTIVE: From computed tomographic images, the dentocentral synchondrosis can be identified in the second cervical vertebra. This can demarcate the border between the odontoid process and the body of the 2nd cervical vertebra and serve as a good model for the prediction of bone and forensic age. Nevertheless, until now, there has been no application of the 2nd cervical vertebra based on the dentocentral synchondrosis. METHODS: In this study, statistical shape analysis was used to build bone and forensic age estimation regression models. Following the principles of statistical shape analysis and principal components analysis, we used cone-beam computed tomography (CBCT) to evaluate a Japanese population (35 males and 45 females, from 5 to 19 years old). RESULTS: The narrowest prediction intervals among the multivariate regression models were 19.63 for bone age and 2.99 for forensic age. There was no significant difference between form space and shape space in the bone and forensic age estimation models. However, for gender comparison, the bone and forensic age estimation models for males had the higher explanatory power. CONCLUSION: This study derived an improved objective and quantitative method for bone and forensic age estimation based on only the 2nd, 3rd and 4th cervical vertebral shapes.
Authors: Rakhi Issrani; Namdeo Prabhu; Mohammed Ghazi Sghaireen; Kiran Kumar Ganji; Ali Mosfer A Alqahtani; Tamer Saleh ALJamaan; Amal Mohammed Alanazi; Sarah Hatab Alanazi; Mohammad Khursheed Alam; Manay Srinivas Munisekhar Journal: Int J Environ Res Public Health Date: 2022-04-28 Impact factor: 4.614