[Indexes of forensic identification by the digital orthopantomogram of the normal teeth].
OBJECTIVE
To explore more concise and unified forensic identification indexes for people with none dental disease in digital orthopantomogram.


METHODS
To select randomly 170 digital orthopantomogram with none dental disease. Then to select indexes for full dentition patterns and dental alignment patterns according to the dental physiological variations and the characters of dental alignment respectively. Finally diversity of the indexes would be evaluated by statistical analysis.


RESULTS
The group with none dental disease had 74 kinds of full dentition pattern in 170 samples, thus its diversity was 43.53%. The group had 129 kinds of dental alignment pattern, thus its diversity was 75.88%. The group had 150 kinds of full dentition/dental alignment pattern, thus its diversity was 88.24%.


CONCLUSIONS
The diversity of the full dentition pattern was not very good. So the full dentition coding was not very effective when it was used solely. The diversity of dental alignment pattern was good. So the method of dental alignment coding could be used in the maxillofacial forensic identification. If the group was coded by the full dentition and dental alignment pattern at the same time, its diversity was better than any single pattern. So the method would be valuable in forensic identification.
Gao
Dong
D
Department of Forensic Pathology, West China School of Preclinical and Forensic Medicine, Sichuan University, Chengdu 610041, China. landlord3799@sina.com.cn
Wang
Qing-Hong
QH
Ye
Jia-Qing
JQ
Wang
Hu
H
Zhang
Zhao-Hui
ZH
Deng
Zhen-Hua
ZH
D003817:Dentition; D005553:Forensic Dentistry; D006801:Humans; D008334:Mandible / Q000000981:diagnostic imaging; D008437:Maxilla / Q000000981:diagnostic imaging; D019252:Radiography, Dental, Digital; D011862:Radiography, Panoramic / Q000379:methods