Literature DB >> 25802199

A new approach to sex estimation using the mandibular canine index.

Ana Margarida Silva1, Maria Lurdes Pereira2, Sónia Gouveia3, João Nuno Tavares4, Álvaro Azevedo2, Inês Morais Caldas5.   

Abstract

Rao et al.'s mandibular canine index (MCI) is a simple odontometric method which uses the mandibular canine as the key to sex estimation. This index is defined as the ratio between the right canine mesiodistal dimension and the mandibular canine arch width. The aim of this study was to contribute to sex estimation using dental techniques by analysing the MCI efficiency, and to propose a new approach for its use. Measurements were taken from 120 plaster casts (70 females) in the 16-30 year age group. Although statistically significant sexual dimorphism was observed in both the mesiodistal dimension and the mandibular canine arch width, the MCI showed a low accuracy in sex classification (54.2% correct identifications). This accuracy was improved to 64.2% using receiver operating characteristics curve analysis. Yet, despite the better accuracy, these results reinforce the idea that the MCI may not be particularly useful in sex prediction, since it may not reflect the same degree of sexual dimorphism as its absolute measures.
© The Author(s) 2015.

Entities:  

Keywords:  ROC curve analysis; forensic odontology; forensic sciences; human identification; mandibular canine index; odontometry; sex estimation

Mesh:

Year:  2015        PMID: 25802199     DOI: 10.1177/0025802415575415

Source DB:  PubMed          Journal:  Med Sci Law        ISSN: 0025-8024            Impact factor:   1.266


  3 in total

Review 1.  An Umbrella Review of the Evidence of Sex Determination Procedures in Forensic Dentistry.

Authors:  João Albernaz Neves; Nathalie Antunes-Ferreira; Vanessa Machado; João Botelho; Luís Proença; Alexandre Quintas; Ana Sintra Delgado; José João Mendes
Journal:  J Pers Med       Date:  2022-05-13

2.  Permanent Maxillary Odontometrics for Sex Estimation Based on a 3-Dimensional Digital Method.

Authors:  Jialin Liu; Yanshi Liu; Jian Wang; Shupeng Ge; Yangyang Zhang; Xiaohe Wang; Lijuan Du; Huiyu He
Journal:  Med Sci Monit       Date:  2021-12-22

3.  Possibility of Human Gender Recognition Using Raman Spectra of Teeth.

Authors:  Ozren Gamulin; Marko Škrabić; Kristina Serec; Matej Par; Marija Baković; Maria Krajačić; Sanja Dolanski Babić; Nikola Šegedin; Aziz Osmani; Marin Vodanović
Journal:  Molecules       Date:  2021-06-29       Impact factor: 4.411

  3 in total

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