Literature DB >> 24112336

Estimation of sex from mastoid triangle - a craniometric analysis.

Tanuj Kanchan1, Anadi Gupta, Kewal Krishan.   

Abstract

Estimation of sex is an important step in the evaluation of unknown human remains. Human skulls are shown to exhibit sexual dimorphism. The objective of the present study was to assess the mastoid region in sexing of unknown skulls. The present study was conducted on 118 (69 males and 49 females) dry skulls in a Medical College at India. The dimensions, area, perimeter, and the angles of the mastoid triangle were analysed for their utility in sex estimation. Non-parametric Mann-Whitney U test was employed to study the sex differences in the different variables. Receiver Operating Characteristic (ROC) curve was used for testing the overall ability of the variables in sex estimation. The present investigation confirms the low accuracy of the mastoid region in sex estimation. The study concludes that the mastoid triangle is a poor indicator of sex, and of limited significance without population reference.
Copyright © 2013 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

Entities:  

Keywords:  Craniometry; Forensic anthropology; Forensic science; Mastoid triangle; Sex estimation

Mesh:

Year:  2013        PMID: 24112336     DOI: 10.1016/j.jflm.2013.06.016

Source DB:  PubMed          Journal:  J Forensic Leg Med        ISSN: 1752-928X            Impact factor:   1.614


  3 in total

1.  Estimation of Sex From Index and Ring Finger Lengths in An Indigenous Population of Eastern India.

Authors:  Jaydip Sen; Tanuj Kanchan; Ahana Ghosh; Nitish Mondal; Kewal Krishan
Journal:  J Clin Diagn Res       Date:  2015-11-01

2.  Comparison of data mining algorithms for sex determination based on mastoid process measurements using cone-beam computed tomography.

Authors:  Maryam Farhadian; Fatemeh Salemi; Abbas Shokri; Yaser Safi; Shahin Rahimpanah
Journal:  Imaging Sci Dent       Date:  2020-12-15

3.  Sex determination in highly fragmented human DNA by high-resolution melting (HRM) analysis.

Authors:  Brenda A Álvarez-Sandoval; Linda R Manzanilla; Rafael Montiel
Journal:  PLoS One       Date:  2014-08-06       Impact factor: 3.240

  3 in total

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