Literature DB >> 23537716

Estimation of sex from cranial measurements in a Western Australian population.

Daniel Franklin1, Andrea Cardini, Ambika Flavel, Algis Kuliukas.   

Abstract

It is widely accepted that the most accurate statistical estimations of biological attributes in the human skeleton (e.g., sex, age and stature) are produced using population-specific standards. As we previously demonstrated that the application of foreign standards to Western Australian individuals results in an unacceptably large sex bias (females frequently misclassified), the need for population-specific standards is duly required and greatly overdue. We report here on the first morphometric cranial sexing standards formulated specifically for application in, and based on the statistical analysis of, contemporary Western Australian individuals. The primary aim is to investigate the nature of cranial sexual dimorphism in this population and outline a series of statistically robust standards suitable for estimating sex in the complete bone and/or associated diagnostic fragments. The sample analysed comprised multi-detector computed tomography cranial scans of 400 individuals equally distributed by sex. Following 3D volume rendering, 31 landmarks were acquired using OsiriX, from which a total of 18 linear inter-landmark measurements were calculated. Measurements were analysed using basic descriptive statistics and discriminant function analyses employing jackknife validations of classification results. All measurements (except frontal breadth and orbital height - Bonferroni corrected) are sexually dimorphic with sex differences explaining 3.5-48.9% of sample variance. Bizygomatic breadth and maximum length of the cranium and the cranial base contribute most significantly to sex discrimination; the maximum classification accuracy was 90%, with a -2.1% sex-bias. We conclude that the cranium is both highly dimorphic and a reliable bone for estimating sex in Western Australian individuals.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

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Year:  2013        PMID: 23537716     DOI: 10.1016/j.forsciint.2013.03.005

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


  15 in total

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Journal:  Forensic Sci Med Pathol       Date:  2018-09-19       Impact factor: 2.007

3.  Morphometric analysis of pelvic sexual dimorphism in a contemporary Western Australian population.

Authors:  Daniel Franklin; Andrea Cardini; Ambika Flavel; Murray K Marks
Journal:  Int J Legal Med       Date:  2014-05-02       Impact factor: 2.686

4.  Morphometric sex estimation from 3D computed tomography os coxae model and its validation in skeletal remains.

Authors:  Mirjana Djorojevic; Concepción Roldán; Patricia García-Parra; Inmaculada Alemán; Miguel Botella
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5.  Disregarding population specificity: its influence on the sex assessment methods from the tibia.

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Authors:  Thais Torralbo Lopez-Capp; Christopher Rynn; Caroline Wilkinson; Luiz Airton Saavedra de Paiva; Edgard Michel-Crosato; Maria Gabriela Haye Biazevic
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8.  Sex determination of a Tunisian population by CT scan analysis of the skull.

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9.  Investigating the sex-related geometric variation of the human cranium.

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Journal:  Int J Legal Med       Date:  2018-01-29       Impact factor: 2.686

10.  Sex estimation in the cranium and mandible: a multislice computed tomography (MSCT) study using anthropometric and geometric morphometry methods.

Authors:  Claudia Gillet; Leonor Costa-Mendes; Camille Rérolle; Norbert Telmon; Delphine Maret; Frédéric Savall
Journal:  Int J Legal Med       Date:  2020-01-02       Impact factor: 2.686

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