Three-dimensional surface area analyses of developing maxillary second premolar root apices for age estimation using CBCT images
Three-dimensional surface area analyses of developing root apices for age estimation in children and young adults have shown promising results. The current study aimed to apply this three-dimensional method to develop a regression model for estimating age in Malaysian children aged 7 to 14 using dev...
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my.um.eprints.448102024-07-09T08:03:00Z http://eprints.um.edu.my/44810/ Three-dimensional surface area analyses of developing maxillary second premolar root apices for age estimation using CBCT images Gohain, Meghna Asif, Muhammad Khan Nambiar, Phrabhakaran Mohd Noor, Nora Sakina Hidayah Reduwan, Nor Ibrahim, Norliza RK Dentistry Three-dimensional surface area analyses of developing root apices for age estimation in children and young adults have shown promising results. The current study aimed to apply this three-dimensional method to develop a regression model for estimating age in Malaysian children aged 7 to 14 using developing maxillary second premolars. A training sample of 155 cone-beam computed tomography scans (83 Malays and 72 Chinese) was analysed, and the formula was subsequently validated on an independent sample of 92 cone-beam computed tomography scans (45 Malays and 47 Chinese). The results showed a strong correlation (r = 94 ) between the chronological age as a dependent variable and the predictor variables, including root surface area of the apex, sex, ethnicity, and root development status (open/closed apices). For this model, the predictor variables accounted for 88.4 of the variation in age except sex and ethnicity. A mean absolute error value of 0.42 indicated that this model can be reliably used for Malaysian children. In conclusion, this study recognises the method of three-dimensional surface area analyses as a valuable tool for age estimation in forensic and clinical practice. Further studies are highly recommended to assess its effectiveness across different demographic groups. © 2024 Elsevier B.V. 2024 Article PeerReviewed Gohain, Meghna and Asif, Muhammad Khan and Nambiar, Phrabhakaran and Mohd Noor, Nora Sakina and Hidayah Reduwan, Nor and Ibrahim, Norliza (2024) Three-dimensional surface area analyses of developing maxillary second premolar root apices for age estimation using CBCT images. Legal Medicine, 66. ISSN 1344-6223, DOI https://doi.org/10.1016/j.legalmed.2024.102391 <https://doi.org/10.1016/j.legalmed.2024.102391>. 10.1016/j.legalmed.2024.102391 |
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RK Dentistry Gohain, Meghna Asif, Muhammad Khan Nambiar, Phrabhakaran Mohd Noor, Nora Sakina Hidayah Reduwan, Nor Ibrahim, Norliza Three-dimensional surface area analyses of developing maxillary second premolar root apices for age estimation using CBCT images |
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Three-dimensional surface area analyses of developing root apices for age estimation in children and young adults have shown promising results. The current study aimed to apply this three-dimensional method to develop a regression model for estimating age in Malaysian children aged 7 to 14 using developing maxillary second premolars. A training sample of 155 cone-beam computed tomography scans (83 Malays and 72 Chinese) was analysed, and the formula was subsequently validated on an independent sample of 92 cone-beam computed tomography scans (45 Malays and 47 Chinese). The results showed a strong correlation (r = 94 ) between the chronological age as a dependent variable and the predictor variables, including root surface area of the apex, sex, ethnicity, and root development status (open/closed apices). For this model, the predictor variables accounted for 88.4 of the variation in age except sex and ethnicity. A mean absolute error value of 0.42 indicated that this model can be reliably used for Malaysian children. In conclusion, this study recognises the method of three-dimensional surface area analyses as a valuable tool for age estimation in forensic and clinical practice. Further studies are highly recommended to assess its effectiveness across different demographic groups. © 2024 |
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Article |
author |
Gohain, Meghna Asif, Muhammad Khan Nambiar, Phrabhakaran Mohd Noor, Nora Sakina Hidayah Reduwan, Nor Ibrahim, Norliza |
author_facet |
Gohain, Meghna Asif, Muhammad Khan Nambiar, Phrabhakaran Mohd Noor, Nora Sakina Hidayah Reduwan, Nor Ibrahim, Norliza |
author_sort |
Gohain, Meghna |
title |
Three-dimensional surface area analyses of developing maxillary second premolar root apices for age estimation using CBCT images |
title_short |
Three-dimensional surface area analyses of developing maxillary second premolar root apices for age estimation using CBCT images |
title_full |
Three-dimensional surface area analyses of developing maxillary second premolar root apices for age estimation using CBCT images |
title_fullStr |
Three-dimensional surface area analyses of developing maxillary second premolar root apices for age estimation using CBCT images |
title_full_unstemmed |
Three-dimensional surface area analyses of developing maxillary second premolar root apices for age estimation using CBCT images |
title_sort |
three-dimensional surface area analyses of developing maxillary second premolar root apices for age estimation using cbct images |
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Elsevier B.V. |
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2024 |
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http://eprints.um.edu.my/44810/ |
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1805881170226839552 |
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