Dental age estimation of Malaysian Indian children and adolescents: applicability of Chaillet and Demirjian’s modified method using artificial neural network

Abstract

BACKGROUND: Recognising the importance of dental age (DA) estimation in forensic investigations, a variety of methods abound in the literature due to population-specific attributes. A reference eight-tooth method developed by Chaillet and Demirjian estimated the DA of children and adolescents. AIM: This study aims to investigate the applicability of Chaillet and Demirjian's method among Malaysian Indians aged 5.00-17.99 years. SUBJECTS AND METHODS: -test and artificial neural networks multilayer perceptron (ANN-MLP). RESULTS: -test analysis against the reference dental maturity scores revealed underestimation of DA in boys of 1.68 years and girls of 2.56 years indicating inaccurate age estimation. A population-specific prediction model with a new set of dental maturity scores was established on Chaillet and Demirjian's scores using ANN-MLP. The new dental maturity scores showed accurate estimation of DA with differences between CA and DA being 12 and 25 days for boys and girls, respectively. Furthermore, a new DA prediction formula was developed using regression analysis following the establishment of new dental scores based on ANN-MLP. CONCLUSION: A novel Malaysian Indian-specific prediction model that demonstrated accurate DA estimation was established.

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