Literature DB >> 22169166

Sex assessment using measurements of the first lumbar vertebra.

Wen Xu Zheng1, Fu Bo Cheng, Kai Liang Cheng, Yong Tian, Ying Lai, Wen Song Zhang, Ya Juan Zheng, You Qiong Li.   

Abstract

Sex determination is a vital part of the medico-legal system but can be difficult in cases where the integrity of the body has been compromised. The purpose of this study was to develop a technique for sex assessment from measurements of the first lumber vertebrate. Twenty-nine linear measurements and five ratios were collected from 113 Chinese adult males and 97 Chinese adult females using digital three-dimensional anthropometry methods. By using discriminant analysis, we found that 23 linear measurements and two ratios identified sexual dimorphism (P<0.01), with predictive accuracy ranging from 57.1% to 86.6%. Using a stepwise method of discriminant function analysis, we found three dimensions predicted sex with 88.6% accuracy: (a) upper end-plate width (EPWu), (b) left pedicle height (PHl), and (c) middle end-plate depth (EPDm). This study shows that a single first lumber vertebra can be used for this purpose, and that the discriminant equation will help forensic determination of sex in the Chinese population.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 22169166     DOI: 10.1016/j.forsciint.2011.11.022

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  2 in total

1.  3D analysis of computed tomography (CT)-derived lumbar spine models for the estimation of sex.

Authors:  Summer J Decker; Robert Foley; Joshua M Hazelton; Jonathan M Ford
Journal:  Int J Legal Med       Date:  2019-01-31       Impact factor: 2.686

2.  Analysis of the ex-vivo transformation of semen, saliva and urine as they dry out using ATR-FTIR spectroscopy and chemometric approach.

Authors:  Tanurup Das; Abhimanyu Harshey; Ankit Srivastava; Kriti Nigam; Vijay Kumar Yadav; Kapil Sharma; Arun Sharma
Journal:  Sci Rep       Date:  2021-06-04       Impact factor: 4.379

  2 in total

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