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

TY - JOUR

T1 - Age estimation combining radiographic information of two dental and four skeletal predictors in children and subadults

AU - Kumagai, Akiko

AU - Willems, Guy

AU - Franco, Ademir

AU - Thevissen, Patrick

N1 - Funding Information: Ethical approval was provided by the Ethical Committee of the School of Dentistry at Iwate Medical University under reference no. 01237 according to the Declaration of Helsinki regarding human experimentation. Publisher Copyright: © 2018, Springer-Verlag GmbH Germany, part of Springer Nature. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.

PY - 2018/11

Y1 - 2018/11

N2 - 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.

AB - 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.

KW - Age estimation

KW - Forensic Odontology

KW - Skeletal and Dental Development

UR - https://www.scopus.com/pages/publications/85051256949

U2 - 10.1007/s00414-018-1910-9

DO - 10.1007/s00414-018-1910-9

M3 - Article

C2 - 30099588

AN - SCOPUS:85051256949

SN - 0937-9827

VL - 132

SP - 1769

EP - 1777

JO - International Journal of Legal Medicine

JF - International Journal of Legal Medicine

IS - 6

ER -