Vanessa Sartori1, Ademir Franco2, Maria-Salete Linden3, Moisés Cardoso3, Dora de Castro4, Angélica Sartori5, Cauane Silva6, Micheline Trentin3, João-Paulo De Carli3. 1. MSc. University of Passo Fundo, School of Dentistry, Postgraduate Program in Dentistry, Passo Fundo, Rio Grande do Sul, BrazilMSc. University of Passo Fundo, School of Dentistry, Postgraduate Program in Dentistry, Passo Fundo, Rio Grande do Sul, Brazil. 2. PhD. São Leopoldo Mandic School of Dentistry, Campinas, São Paulo, Brazil; Department of Therapeutic Dentistry, Institute of Dentistry, Sechenov University, Russia; Forensic Dentistry, Centre of Forensic and Legal Medicine and Dentistry, University of Dundee, Scotland/UK. 3. PhD. University of Passo Fundo, School of Dentistry, Postgraduate Program in Dentistry, Passo Fundo, Rio Grande do Sul, Brazil. 4. DDS. University of Passo Fundo, School of Dentistry, Postgraduate Program in Dentistry, Passo Fundo, Rio Grande do Sul, Brazil. 5. Ind. Sol Private law firm, Passo Fundo, Rio Grande do Sul, Brazil. 6. PhD. International Center for Equity in Health, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.
Abstract
BACKGROUND: To assess the radiographic third molar maturation with internationally developed techniques for age estimation. MATERIAL AND METHODS: The study analyzed 1,062 panoramic radiographs of patients treated at the School of Dentistry of the University of Passo Fundo/RS/Brazil, between 2009 and 2020. The patients were separated into ages between 15.00 and 23.99 years and, for each radiograph, the third molars were classified into stages from 1 to 10, with the subsequent application of one of the formulae proposed by Gunst et al. A dichotomous variable indicating whether each individual was younger or older than 18 was calculated from the chronological age of the individuals. A logistic regression model was adjusted to assess whether the third molar stages are correlated with the age of individuals. RESULTS: The error indicators between estimated and chronological ages showed that mean errors closer to zero are seen in the 18-18.9 and 17-17.9 age groups, respectively. Male individuals were earlier in terms of dental mineralization but there were no significant differences between sexes regarding the applicability of the method. The ROC curve shows that the analysis of a single third molar for age estimation gives a maximum of 70.4% reliability. CONCLUSIONS: The moderate performance of the technique tested in the present study justify future country-specific corrections to improve age estimation from the radiographic assessment of third molar maturity. Key words:Dental age estimation, forensic dentistry, radiology, third molar. Copyright:
BACKGROUND: To assess the radiographic third molar maturation with internationally developed techniques for age estimation. MATERIAL AND METHODS: The study analyzed 1,062 panoramic radiographs of patients treated at the School of Dentistry of the University of Passo Fundo/RS/Brazil, between 2009 and 2020. The patients were separated into ages between 15.00 and 23.99 years and, for each radiograph, the third molars were classified into stages from 1 to 10, with the subsequent application of one of the formulae proposed by Gunst et al. A dichotomous variable indicating whether each individual was younger or older than 18 was calculated from the chronological age of the individuals. A logistic regression model was adjusted to assess whether the third molar stages are correlated with the age of individuals. RESULTS: The error indicators between estimated and chronological ages showed that mean errors closer to zero are seen in the 18-18.9 and 17-17.9 age groups, respectively. Male individuals were earlier in terms of dental mineralization but there were no significant differences between sexes regarding the applicability of the method. The ROC curve shows that the analysis of a single third molar for age estimation gives a maximum of 70.4% reliability. CONCLUSIONS: The moderate performance of the technique tested in the present study justify future country-specific corrections to improve age estimation from the radiographic assessment of third molar maturity. Key words:Dental age estimation, forensic dentistry, radiology, third molar. Copyright:
Authors: Jannick De Tobel; Griet Iona Loïs Parmentier; Inès Phlypo; Benedicte Descamps; Sara Neyt; Wim Leon Van De Velde; Constantinus Politis; Koenraad Luc Verstraete; Patrick Werner Thevissen Journal: Int J Legal Med Date: 2018-07-28 Impact factor: 2.686
Authors: Ademir Franco; Lucas Porto; Dennis Heng; Jared Murray; Anna Lygate; Raquel Franco; Juliano Bueno; Marilia Sobania; Márcio M Costa; Luiz R Paranhos; Scheila Manica; André Abade Journal: Sci Rep Date: 2022-10-14 Impact factor: 4.996