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Development of a Reference Data Set (RDS) for dental age estimation (DAE) and testing of this with a separate Validation Set (VS) in a southern Chinese population.

Authors :
Jayaraman, Jayakumar
Wong, Hai Ming
King, Nigel M.
Roberts, Graham J.
Source :
Journal of Forensic & Legal Medicine; Oct2016, Vol. 43, p26-33, 8p
Publication Year :
2016

Abstract

<bold>Background: </bold>Many countries have recently experienced a rapid increase in the demand for forensic age estimates of unaccompanied minors. Hong Kong is a major tourist and business center where there has been an increase in the number of people intercepted with false travel documents. An accurate estimation of age is only possible when a dataset for age estimation that has been derived from the corresponding ethnic population. Thus, the aim of this study was to develop and validate a Reference Data Set (RDS) for dental age estimation for southern Chinese.<bold>Materials and Methods: </bold>A total of 2306 subjects were selected from the patient archives of a large dental hospital and the chronological age for each subject was recorded. This age was assigned to each specific stage of dental development for each tooth to create a RDS. To validate this RDS, a further 484 subjects were randomly chosen from the patient archives and their dental age was assessed based on the scores from the RDS. Dental age was estimated using meta-analysis command corresponding to random effects statistical model. Chronological age (CA) and Dental Age (DA) were compared using the paired t-test.<bold>Results: </bold>The overall difference between the chronological and dental age (CA-DA) was 0.05 years (2.6 weeks) for males and 0.03 years (1.6 weeks) for females. The paired t-test indicated that there was no statistically significant difference between the chronological and dental age (p > 0.05).<bold>Conclusion: </bold>The validated southern Chinese reference dataset based on dental maturation accurately estimated the chronological age. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1752928X
Volume :
43
Database :
Supplemental Index
Journal :
Journal of Forensic & Legal Medicine
Publication Type :
Academic Journal
Accession number :
117913479
Full Text :
https://doi.org/10.1016/j.jflm.2016.07.007