Claudia Gillet1, Leonor Costa-Mendes1,2, Camille Rérolle1,3, Norbert Telmon1,4, Delphine Maret1,2, Frédéric Savall5,6. 1. Laboratoire d'Anthropobiologie AMIS, UMR 5288 CNRS, Université Paul Sabatier, Allées Jules Guesde, 31000, Toulouse, France. 2. UFR Odontologie de Toulouse, Centre Hospitalier Universitaire, 3 Chemin des Maraîchers, 31062 Cedex 9, Toulouse, France. 3. Service de Médecine Légale, Centre Hospitalier Universitaire Trousseau, Avenue de la République, 37170 Chambray-lès-, Tours, France. 4. Service de Médecine Légale, Centre Hospitalier Universitaire Rangueil, Avenue du Professeur Jean Poulhès, 31059, Toulouse, France. 5. Laboratoire d'Anthropobiologie AMIS, UMR 5288 CNRS, Université Paul Sabatier, Allées Jules Guesde, 31000, Toulouse, France. fredsavall@hotmail.fr. 6. Service de Médecine Légale, Centre Hospitalier Universitaire Rangueil, Avenue du Professeur Jean Poulhès, 31059, Toulouse, France. fredsavall@hotmail.fr.
Abstract
INTRODUCTION: The purpose of this study was to analyze the respective contribution of the skull and mandible to sex estimation in an entire cranium using metric and geometric morphometric methods and multislice computed tomography (MSCT) analysis. MATERIALS: The study sample comprised 120 individuals aged 23 to 84 years and divided into three groups (whole sample and over or under 40 years of age). METHODS: Forty-eight osteometric landmarks were positioned using Osirix®, 34 for the cranium and 14 for the mandible. The data were analyzed using univariate analyses and logistic regression using backward stepwise selection with cross-validation of the classification results. Generalized procrustes analysis (GPA) was used, and Goodall's F test and Mahalanobis D2 matrices allowed an assessment of statistical significance. RESULTS: The classification accuracy of cranium models ranged from 87% to 88.3%, and from 68% to 81.4% for the mandibular models. With geometric morphometry, accuracy was of 94-100% for the cranium and 84.2% for the mandible. DISCUSSION: We conclude that the mandible had a higher accuracy rate for individuals over 40 years than individuals under 40 years of age, although the accuracy of geometric morphometry did not differ significantly between the age groups. The cranium, however, presented greater predictability for all the parameters assessed.
INTRODUCTION: The purpose of this study was to analyze the respective contribution of the skull and mandible to sex estimation in an entire cranium using metric and geometric morphometric methods and multislice computed tomography (MSCT) analysis. MATERIALS: The study sample comprised 120 individuals aged 23 to 84 years and divided into three groups (whole sample and over or under 40 years of age). METHODS: Forty-eight osteometric landmarks were positioned using Osirix®, 34 for the cranium and 14 for the mandible. The data were analyzed using univariate analyses and logistic regression using backward stepwise selection with cross-validation of the classification results. Generalized procrustes analysis (GPA) was used, and Goodall's F test and Mahalanobis D2 matrices allowed an assessment of statistical significance. RESULTS: The classification accuracy of cranium models ranged from 87% to 88.3%, and from 68% to 81.4% for the mandibular models. With geometric morphometry, accuracy was of 94-100% for the cranium and 84.2% for the mandible. DISCUSSION: We conclude that the mandible had a higher accuracy rate for individuals over 40 years than individuals under 40 years of age, although the accuracy of geometric morphometry did not differ significantly between the age groups. The cranium, however, presented greater predictability for all the parameters assessed.
Authors: Aspalilah Alias; AbdelNasser Ibrahim; Siti Noorain Abu Bakar; Mohamed Swarhib Shafie; Srijit Das; Nurliza Abdullah; Helmee Mohammad Noor; Iman Yi Liao; Faridah Mohd Nor Journal: Clin Ter Date: 2018 Sep-Oct