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Sex determination of a Tunisian population by CT scan analysis of the skull.
Zaafrane, Malek; Ben Khelil, Mehdi; Naccache, Ines; Ezzedine, Ekbel; Savall, Frédéric; Telmon, Norbert; Mnif, Najla; Hamdoun, Moncef.
Afiliação
  • Zaafrane M; Faculty of Medicine, University of Tunis El Manar, Tunis, Tunisia. zaafranemalek1986@gmail.com.
  • Ben Khelil M; Department of Legal Medicine, Charles Nicolle Hospital, Tunis, Tunisia. zaafranemalek1986@gmail.com.
  • Naccache I; Laboratoire d'Anthropobiologie AMIS, UMR 5288 CNRS, Université Paul Sabatier, 37 Allées Jules Guesde, 31000, Toulouse, France. zaafranemalek1986@gmail.com.
  • Ezzedine E; Faculty of Medicine, University of Tunis El Manar, Tunis, Tunisia.
  • Savall F; Department of Legal Medicine, Charles Nicolle Hospital, Tunis, Tunisia.
  • Telmon N; Faculty of Medicine, University of Tunis El Manar, Tunis, Tunisia.
  • Mnif N; Department of Radiology, Charles Nicolle Hospital, Tunis, Tunisia.
  • Hamdoun M; Faculty of Medicine, University of Tunis El Manar, Tunis, Tunisia.
Int J Legal Med ; 132(3): 853-862, 2018 May.
Article em En | MEDLINE | ID: mdl-28936605
ABSTRACT
It is widely accepted that the estimation of biological attributes in the human skeleton is more accurate when population-specific standards are applied. With the shortage of such data for contemporary North African populations, it is duly required to establish population-specific standards. We present here the first craniometric standards for sex determination of a contemporary Tunisian population. The aim of this study was to analyze the correlation between sex and metric parameters of the skull in this population using CT scan analysis and to generate proper reliable standards for sex determination of a complete or fragmented skull. The study sample comprised cranial multislice computed tomography scans of 510 individuals equally distributed by sex. ASIRTM software in a General ElectricTM workstation was used to position 37 landmarks along the volume-rendered images and the multiplanar slices, defining 27 inter-landmark distances. Frontal and parietal bone thickness was also measured for each case. The data were analyzed using basic descriptive statistics and logistic regression with cross-validation of classification results. All of the measurements were sexually dimorphic with male values being higher than female values. A nine-variable model achieved the maximum classification accuracy of 90% with -2.9% sex bias and a six-variable model yielded 85.9% sexing accuracy with -0.97% sex bias. We conclude that the skull is highly dimorphic and represents a reliable bone for sex determination in contemporary Tunisian individuals.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Crânio / Determinação do Sexo pelo Esqueleto / Tomografia Computadorizada Multidetectores Tipo de estudo: Prognostic_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: Africa Idioma: En Revista: Int J Legal Med Assunto da revista: JURISPRUDENCIA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Tunísia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Crânio / Determinação do Sexo pelo Esqueleto / Tomografia Computadorizada Multidetectores Tipo de estudo: Prognostic_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: Africa Idioma: En Revista: Int J Legal Med Assunto da revista: JURISPRUDENCIA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Tunísia