Age estimation combining radiographic information of two dental and four skeletal predictors in children and subadults

Akiko Kumagai, Guy Willems, Ademir Franco, Patrick Thevissen

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

Improved age estimates may result from combining different age predictors. This study aimed to validate age estimation performances combining the radiographic development of teeth, cervical vertebrae, hand and wrist bones, skull, and mandible. The sampled consisted of 256 individuals aged between 4 and 20 years. Bayes’ rule with a multivariate continuation ratio model was applied for the distribution of the dental scores. The additional age information of the skeletal variables was assessed extending the dental model separately and combining the variables. The performances of all models were quantified and compared using mean error (ME), mean absolute error (MAE), and root mean squared error (RMSE). The best performance resulted combining all variables (ME − 0.04 for F and M; MAE 0.91 for F and 0.95 for M; RMSE 1.14 for F and 1.19 for M). To improve performances and minimize radiation doses, the combination of teeth and hand and wrist bones information is recommended.

Original languageEnglish
Pages (from-to)1769-1777
Number of pages9
JournalInternational Journal of Legal Medicine
Volume132
Issue number6
Early online date11 Aug 2018
DOIs
Publication statusPublished - Nov 2018

Keywords

  • Age estimation
  • Forensic Odontology
  • Skeletal and Dental Development

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