Forensic age estimation using new models of mathematical regression formula constructed with molar indexes: dental age assessment

Abstract

Introduction: In forensic science, age estimation for identification purposes of living and deceased individuals, is of great importance. It is crucial for humanitarian reasons in both civil and criminal cases. Objectives: The aim of this study was to contribute to the process of forensic age estimation using dental age assessment with mineralization stages of Demirjian method, and maturity indexes of permanent mandibular second (I 2M ) and third molars (I 3M ). Material and methods: Two samples were used from a Portuguese population; for I 2M , 591 orthopantomo graphy's aged between 7 and 15 years and for I 3M , 350 orthopantomography's aged between 12 and 23 years. Age estimation was obtained using linear regression models, each model was estimated with all observations and without observations, in which I 2M or I 3M = 0. Results: The results of ICC for intra and interobserver validation varied between 0.608 and 0.999 for both indexes. Pearson correlation coefficient between each index and chronological age showed that all indexes were significantly negatively correlated with chronological age. The standard error of estimate and the mean absolute error were continually low without patients with null index. Conclusions: Application of I2M is reproducible in a Portuguese population for medicallegal application in a population aged 7 to 15 years, when the corresponding index is positive. Third molar must be used only if its index is positive. The inclusion of Demirjian staging in both models significantly increases accuracy.

Prevalence of dental, oral, and maxillofacial traumatic injuries among domestic violence victims: A systematic review and meta‐analysis

“…The high prevalence of OMFI presented in our study is consistent with previous studies showing that violence in North America, as a whole, contributed to 27.6% of cases of maxillofacial trauma 57 . Divergent results regarding the prevalence of OMFI in relation to different etiologies may be attributed to the social environment, economy, and cultural differences 58 . In addition, an association between age and different etiologies of OMFI has also been suggested, with violence being the third most important etiology of OMFT in children and adolescents 23 .…”

Порівняння Даних Проєктів EURMAT Та WORMAT Щодо Епідеміології Травм Щелепно-Лицевої Ділянки

“…Вступ. Більшість доступних для аналізу досліджень, присвячених питанням епідеміології травм щелепнолицевої ділянки, є ретроспективними за своїм характером та були проведені на базі одного, рідко -декількох дослідницьких центрів (лікарень, клінік, відділень травматології), певного географічного регіону [1][2][3][4][5][6].…”