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Age estimation from structural changes of teeth and buccal alveolar bone level
Institution:1. Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia;2. Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia;3. Faculty of Dentistry, International Medical University, Malaysia;1. Federal University of Pernambuco, Estrada do Arraial 2385, Recife, PE, Brazil;2. Fernando Figueira Integral Medical Institute, Recife, PE, Brazil;3. Estate University of Paraíba, João Pessoa, PB, Brazil;4. Department of Clinic Dentistry, Federal University of Ceará, Fortaleza, CE, Brazil;5. Department of Clinical and Preventive Dentistry, Federal University of Pernambuco, Recife, PE, Brazil;1. University of Zagreb, School of Dental Medicine, Dental Science, Zagreb, Croatia;2. Department of Orthodontics, University Dentistry Clinical Center of Kosovo, 10000 Pristina, Kosovo;3. Department of Dental Anthropology, School of Dental Medicine, University of Zagreb, Croatia;4. Department of Dental Medicine, University Hospital Centre Zagreb, Croatia;5. Department of Dental Pathology and Endodontics, University Dentistry Clinical Center of Kosovo, Kosovo;6. Department of Prosthodontics, Dental School, Faculty of Medicine, University of Prishtina, Kosovo;7. School of Medicine at University of Split, Croatia;1. Department of Oral Medicine and Radiology, New Horizon Dental College and Research Institute, Bilaspur, Chhattisgarh, India;2. Department of Conservative Dentistry and Endodontics, New Horizon Dental College and Research Institute, Bilaspur, Chhattisgarh, India;3. Department of Public Health Dentistry, Government Dental College, Raipur, Chhattisgarh, India;4. Department of Oral and Maxillofacial Pathology, Daswani Dental College, Kota, Rajasthan, India;5. Department of Orthodontics, New Horizon Dental College and Research Institute, Bilaspur, Chhattisgarh, India;1. Department of Forensic Medicine, Laboratory of Research Anthropology and Bone Biomechanic (LR12SP14) Faculty of Medicine, University of Monastir, 5000, Tunisia;2. Department of Epidemiology and Preventive Medicine, Faculty of Medicine of Monastir, University of Monastir, Tunisia;3. Laboratory of Research in Oral Health and Oral Rehabilitation, LR12ES11, Tunisia
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.
Keywords:Cone-Beam Computed Tomography (CBCT)  Age estimation  Gustafson's criteria  Attrition  Secondary dentin  Periodontal recession  Buccal bone level
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