Dental age estimation of Malaysian Indian children and adolescents : applicability of Chaillet and Demirjian's modified method using artificial neural network
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: Dental panoramic tomographs of Malaysian Indians aged 5.00-17.99 years were statistically analysed using paired t-test and artificial neural networks multilayer perceptron (ANN-MLP).
RESULTS: A total of 1015 dental panoramic tomographs were analysed. Paired t-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.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2022 |
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Erschienen: |
2022 |
Enthalten in: |
Zur Gesamtaufnahme - volume:49 |
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Enthalten in: |
Annals of human biology - 49(2022), 3-4 vom: 23. Juni, Seite 192-199 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Bunyarit, Safar Sumit [VerfasserIn] |
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Links: |
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Themen: |
Artificial neural network |
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Anmerkungen: |
Date Completed 04.10.2022 Date Revised 07.12.2022 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1080/03014460.2022.2105396 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM345162048 |
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520 | |a 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 | ||
520 | |a AIM: This study aims to investigate the applicability of Chaillet and Demirjian's method among Malaysian Indians aged 5.00-17.99 years | ||
520 | |a SUBJECTS AND METHODS: Dental panoramic tomographs of Malaysian Indians aged 5.00-17.99 years were statistically analysed using paired t-test and artificial neural networks multilayer perceptron (ANN-MLP) | ||
520 | |a RESULTS: A total of 1015 dental panoramic tomographs were analysed. Paired t-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 | ||
520 | |a CONCLUSION: A novel Malaysian Indian-specific prediction model that demonstrated accurate DA estimation was established | ||
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650 | 4 | |a artificial neural network | |
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