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 - http://www.scopus.com/inward/record.url?scp=85051256949&partnerID=8YFLogxK
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 -