Literature DB >> 28407514

Age estimation from structural changes of teeth and buccal alveolar bone level.

K K Koh1, J S Tan1, P Nambiar2, Norliza Ibrahim3, Sunil Mutalik4, Muhammad Khan Asif3.   

Abstract

Forensic odontology plays a vital role in the identification and age estimation of unknown deceased individuals. The purpose of this study is to estimate the chronological age from Cone-Beam Computed Tomography (CBCT) images by measuring the buccal alveolar bone level (ABL) to the cemento-enamel junction and to investigate the possibility of employing the age-related structural changes of teeth as studied by Gustafson. In addition, this study will determine the forensic reliability of employing CBCT images as a technique for dental age estimation. A total of 284 CBCT images of Malays and Chinese patients (150 females and 134 males), aged from 20 years and above were selected, measured and stages of age-related changes were recorded using the i-CAT Vision software. Lower first premolars of both left and right side of the jaw were chosen and the characteristics described by Gustafson, namely attrition, secondary dentine formation and periodontal recession were evaluated. Linear regression analysis was performed for the buccal bone level and the R values obtained were 0.85 and 0.82 for left and right side respectively. Gustafson's characteristics were analysed using multiple regression analysis with chronological age as the dependent variable. The results of the analysis showed R values ranged from 0.44 to 0.62. Therefore it can be safely concluded that the buccal bone level highly correlated with the chronological age and is consequently the most suitable age-related characteristic for forensic age estimation.
Copyright © 2017 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

Entities:  

Keywords:  Age estimation; Attrition; Buccal bone level; Cone-Beam Computed Tomography (CBCT); Gustafson's criteria; Periodontal recession; Secondary dentin

Mesh:

Year:  2017        PMID: 28407514     DOI: 10.1016/j.jflm.2017.03.004

Source DB:  PubMed          Journal:  J Forensic Leg Med        ISSN: 1752-928X            Impact factor:   1.614


  4 in total

1.  CBCT in dental age estimation: A systematic review and meta analysis.

Authors:  Rizky Merdietio Boedi; Simon Shepherd; Scheila Mânica; Ademir Franco
Journal:  Dentomaxillofac Radiol       Date:  2022-01-07       Impact factor: 3.525

2.  Age-group determination of living individuals using first molar images based on artificial intelligence.

Authors:  Seunghyeon Kim; Yeon-Hee Lee; Yung-Kyun Noh; Frank C Park; Q-Schick Auh
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

3.  Deep Learning Neural Modelling as a Precise Method in the Assessment of the Chronological Age of Children and Adolescents Using Tooth and Bone Parameters.

Authors:  Maciej Zaborowicz; Katarzyna Zaborowicz; Barbara Biedziak; Tomasz Garbowski
Journal:  Sensors (Basel)       Date:  2022-01-14       Impact factor: 3.576

4.  Robust Estimation of the Chronological Age of Children and Adolescents Using Tooth Geometry Indicators and POD-GP.

Authors:  Katarzyna Zaborowicz; Tomasz Garbowski; Barbara Biedziak; Maciej Zaborowicz
Journal:  Int J Environ Res Public Health       Date:  2022-03-03       Impact factor: 3.390

  4 in total

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