Cover Image

Dental age estimation of Malay children and adolescents: Chaillet and Demirjian's data improved using artificial multilayer perceptron neural network

Purpose: The aim of this study was to assess the suitability of the 8-tooth method on the Malaysian Malays aged 5.00-17.99 years originally introduced by Chaillet and Demirjian and to develop a more reliable teeth maturity scores for age estimation based on artificial neural networks (ANN). A total...

Full description

Saved in:
Bibliographic Details
Main Authors: Bunyarit, Safar Sumit, Nambiar, Phrabhakaran, Naidu, Murali K., Ying, Rozaida Poh Yuen, Asif, Muhammad Khan
Format: Article
Published: Elsevier 2021
Subjects:
RK Dentistry
Oral surger
Online Access:http://eprints.um.edu.my/34920/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.um.eprints.34920
record_format eprints
spelling my.um.eprints.349202022-05-09T01:56:13Z http://eprints.um.edu.my/34920/ Dental age estimation of Malay children and adolescents: Chaillet and Demirjian's data improved using artificial multilayer perceptron neural network Bunyarit, Safar Sumit Nambiar, Phrabhakaran Naidu, Murali K. Ying, Rozaida Poh Yuen Asif, Muhammad Khan RK Dentistry Oral surger Purpose: The aim of this study was to assess the suitability of the 8-tooth method on the Malaysian Malays aged 5.00-17.99 years originally introduced by Chaillet and Demirjian and to develop a more reliable teeth maturity scores for age estimation based on artificial neural networks (ANN). A total of 1569 dental panoramic tomographs of Malaysian Malays aged 5.00-17.99 years were assessed. Tooth development was initially recorded using a score chart adapted from Demirjian's eight developmental stages. Maturity scores were converted to dental age (DA). The mean and standard deviation of chronological age (CA), DA and the difference between CA and DA were calculated. Artificial neural networks was then employed to develop new dental maturity scores (NDA) and its reliability was assessed. Results: Initial comparison of known CA with estimated DA derived from Chaillet and Demirjian's dental maturity scores showed that DA was consistently underestimated by 2.09 +/- 0.90 years for Malay boys and 2.79 +/- 0.99 years for Malay girls for all age groups (paired t-test, p < 0.05). In order to improve the age estimation, an adaptation using artificial neural networks was employed to develop new dental maturity scores (NDA) that was more suitable for the Malay subjects. The results showed more accuracy in estimating dental age (0.035 +/- 0.84 years for boys and 0.048 +/- 0.928 years for girls, paired t-test, p > 0.05). Conclusion: In conclusion, the new dental maturity scores were highly accurate in estimating the age of Malaysian Malay children and adolescents. (C) 2021 Japanese Society of Pediatric Dentistry. Published by Elsevier Ltd. All rights reserved. Elsevier 2021-07 Article PeerReviewed Bunyarit, Safar Sumit and Nambiar, Phrabhakaran and Naidu, Murali K. and Ying, Rozaida Poh Yuen and Asif, Muhammad Khan (2021) Dental age estimation of Malay children and adolescents: Chaillet and Demirjian's data improved using artificial multilayer perceptron neural network. Pediatric Dental Journal, 31 (2). pp. 176-185. ISSN 0917-2394, DOI https://doi.org/10.1016/j.pdj.2021.06.002 <https://doi.org/10.1016/j.pdj.2021.06.002>. 10.1016/j.pdj.2021.06.002
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic RK Dentistry
Oral surger
spellingShingle RK Dentistry
Oral surger
Bunyarit, Safar Sumit
Nambiar, Phrabhakaran
Naidu, Murali K.
Ying, Rozaida Poh Yuen
Asif, Muhammad Khan
Dental age estimation of Malay children and adolescents: Chaillet and Demirjian's data improved using artificial multilayer perceptron neural network
description Purpose: The aim of this study was to assess the suitability of the 8-tooth method on the Malaysian Malays aged 5.00-17.99 years originally introduced by Chaillet and Demirjian and to develop a more reliable teeth maturity scores for age estimation based on artificial neural networks (ANN). A total of 1569 dental panoramic tomographs of Malaysian Malays aged 5.00-17.99 years were assessed. Tooth development was initially recorded using a score chart adapted from Demirjian's eight developmental stages. Maturity scores were converted to dental age (DA). The mean and standard deviation of chronological age (CA), DA and the difference between CA and DA were calculated. Artificial neural networks was then employed to develop new dental maturity scores (NDA) and its reliability was assessed. Results: Initial comparison of known CA with estimated DA derived from Chaillet and Demirjian's dental maturity scores showed that DA was consistently underestimated by 2.09 +/- 0.90 years for Malay boys and 2.79 +/- 0.99 years for Malay girls for all age groups (paired t-test, p < 0.05). In order to improve the age estimation, an adaptation using artificial neural networks was employed to develop new dental maturity scores (NDA) that was more suitable for the Malay subjects. The results showed more accuracy in estimating dental age (0.035 +/- 0.84 years for boys and 0.048 +/- 0.928 years for girls, paired t-test, p > 0.05). Conclusion: In conclusion, the new dental maturity scores were highly accurate in estimating the age of Malaysian Malay children and adolescents. (C) 2021 Japanese Society of Pediatric Dentistry. Published by Elsevier Ltd. All rights reserved.
format Article
author Bunyarit, Safar Sumit
Nambiar, Phrabhakaran
Naidu, Murali K.
Ying, Rozaida Poh Yuen
Asif, Muhammad Khan
author_facet Bunyarit, Safar Sumit
Nambiar, Phrabhakaran
Naidu, Murali K.
Ying, Rozaida Poh Yuen
Asif, Muhammad Khan
author_sort Bunyarit, Safar Sumit
title Dental age estimation of Malay children and adolescents: Chaillet and Demirjian's data improved using artificial multilayer perceptron neural network
title_short Dental age estimation of Malay children and adolescents: Chaillet and Demirjian's data improved using artificial multilayer perceptron neural network
title_full Dental age estimation of Malay children and adolescents: Chaillet and Demirjian's data improved using artificial multilayer perceptron neural network
title_fullStr Dental age estimation of Malay children and adolescents: Chaillet and Demirjian's data improved using artificial multilayer perceptron neural network
title_full_unstemmed Dental age estimation of Malay children and adolescents: Chaillet and Demirjian's data improved using artificial multilayer perceptron neural network
title_sort dental age estimation of malay children and adolescents: chaillet and demirjian's data improved using artificial multilayer perceptron neural network
publisher Elsevier
publishDate 2021
url http://eprints.um.edu.my/34920/
_version_ 1735409634714320896
score 13.211869

Similar Items