Sex estimation in a Turkish population using Purkait’s triangle:a virtual approach by 3-dimensional computed tomography(3D-CT)
作者机构：Centre for anatomy and human identificationschool of science and engineeringUniversity of DundeescotlandUK Department of radiologyBakirkoy Training and research hospitalistanbulTurkey Department of Forensic scienceUniversity of cretecreteGreece University center of Legal Medicine Lausanne-GenevaLausanneswitzerland Unit of Forensic imaging and anthropologyUniversity center of Legal Medicine Lausanne-GenevaLausanneswitzerland Swiss human institute of Forensic TaphonomyUniversity center of Legal Medicine Lausanne-GenevaLausanneswitzerland
出 版 物：《Forensic Sciences Research》 (法庭科学研究（英文）)
年 卷 期：2022年第7卷第2期
页 面：97-105页
核心收录：
学科分类：1001[医学-基础医学(可授医学、理学学位)] 08[工学] 0838[工学-公安技术] 100105[医学-法医学] 10[医学]
主 题：Forensic sciences forensic anthropology sex estimation computed tomography Purkait’s triangle
摘 要：Sex estimation is considered one of the first steps in the forensic identification *** and morphometrical differences between males and females have been used as means for morphoscopic and metric methods on both cranial and postcranial skeletal *** dry skeletal elements are not available,virtual data can be used as a *** present research explores 3-dimensional(3D)scans from a Turkish population to test a sex estimation method developed by Purkait(2005).Overall,296 individuals were used in this study(158 males and 138 females).Purkait’s triangle parameters were measured on computed tomography(CT)scans obtained from both right and left femora of each patient at the Bakirkoy *** Konuk Training Research Hospital(Istanbul,Turkey).Intra-and inter-observer errors were assessed for all variables through technical error of measurements *** asymmetry and sex differences were evaluated using parametric and non-parametric statistical *** and multivariate discriminant function analyses were then *** errors demonstrated an overall agreement within and between experts,as indicated by technical error of measurement(TEM)*** bilateral asymmetries were reported,and all parameters demonstrated a statistically significant difference between males and *** discriminant models were generated by applying single and combined parameters,producing a total correct sex classification ranging from 78.4%to 92.6%.In addition,over 67%of the total sample was accurately classified,with 95%or greater posterior *** study demonstrates the feasibility of 3D sex estimation using Purkait’s triangle on a Turkish population,with accuracy rates comparable to those reported in other *** is the first attempt to apply this method on virtual data and although further validation and standardisation are recommended for its application on dry bone,this research constitutes a signif
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