Sex Prediction Based on Mesiodistal Width Data in the Portuguese Population

Applied Sciences

AnaSintra Delgado¹  JoãoAlbernaz Neves¹  Vanessa Machado¹  João Botelho¹  JoséJoão Mendes¹  Nathalie Antunes-Ferreira²  Alexandre Quintas²  Luís Proença³ 

[1] Clinical Research Unit (CRU), Centro de Investigação Interdisciplinar Egas Moniz (CiiEM), Egas Moniz, CRL, 2829-511 Caparica, Almada, Portugal;Laboratório de Ciências Forenses e Psicológicas Egas Moniz (LCFPEM), Centro de Investigação Interdisciplinar Egas Moniz (CiiEM), Egas Moniz CRL, 2829-511 Caparica, Almada, Portugal;Quantitative Methods for Health Research (MQIS), CiiEM, Egas Moniz, CRL, 2829-511 Caparica, Almada, Portugal;

关键词: forensic dentistry;    sex determination;    sexual dimorphism;    dental measurements;    predictive model;    Portuguese population;   

DOI  :  10.3390/app10124156

来源: DOAJ

【 摘 要 】

Accurate sex prediction is a key step in creating a postmortem forensic profile as it excludes approximately half the population. It is our goal to develop a predictive model to establish sex through teeth mesiodistal widths in a Portuguese population. The pretreatment dental casts of 168 of Portuguese orthodontics subjects (59 males and 109 females) were included. Mesiodistal widths from right first molar to left first molar were measured on each pretreatment cast to the nearest 0.01 mm using a digital caliper. Overall, the mesiodistal widths of the upper and lower canines, premolars, and molars were found to be significantly different between females and males. Conversely, no significant differences between sexes were identified for incisors. A multivariate logistic regression model for sex prediction was developed and the teeth included in the final reduced model being the upper left canine (2.3), the lower right lateral incisor (4.2) and the lower right canine (4.3). There is a prevalence of sexual dimorphism in all teeth except the incisors. The canines present the most noticeable difference between sexes. The presented sex determination predictive model exhibits an overall correct classification of 75%, outperforming all available models for this purpose and therefore is a potential tool for forensic analysis in this population.

【 授权许可】

Unknown