Comparison of methods to determine sex by evaluating the greater sciatic notch: Visual, angular and geometric morphometrics

Gómez-Valdés, Jorge; Quinto‐Sanchez, Mirsha; Garmendia, Antinea Menéndez; Velemínská, Jana; Sánchez‐Mejorada, Gabriela; Brůžek, Jaroslav

doi:10.1016/j.forsciint.2012.04.027

Cited by 35 publications

(26 citation statements)

References 32 publications

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“…However, a greater number of landmarks did not lead to more accurate classification. It seems that this choice is one of the major reasons for the better results shown here compared to those obtained in our previous study (G omez-Vald es et al, 2012). 2).…”

Section: Discussionsupporting

confidence: 48%

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Technical Note: Geometric morphometrics and sexual dimorphism of the greater sciatic notch in adults from two skeletal collections: The accuracy and reliability of sex classification

Velemínská

Krajíček

Dupej

et al. 2013

American J Phys Anthropol

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The greater sciatic notch (GSN) is one of the most important and frequently used characteristics for determining the sex of skeletons, but objective assessment of this characteristic is not without its difficulties. We tested the robustness of GSN sex classification on the basis of geometric morphometrics (GM) and support vector machines (SVM), using two different population samples. Using photographs, the shape of the GSN in 229 samples from two assemblages (documented collections of a Euroamerican population from the Maxwell Museum, University of New Mexico, and a Hispanic population from Universidad Nacional Autónoma de México, Mexico City) was segmented automatically and evaluated using six curve representations. The optimal dimensionality for each representation was determined by finding the best sex classification. The classification accuracy of the six curve representations in our study was similar but the highest and concurrently homologous cross-validated accuracy of 92% was achieved for a pooled sample using Fourier coefficient and Legendre polynomial methods. The success rate of our classification was influenced by the number of semilandmarks or coefficients and was only slightly affected by GSN marginal point positions. The intrapopulation variability of the female GSN shape was significantly lower compared with the male variability, possibly as a consequence of the intense selection pressure associated with reproduction. Males were misclassified more often than females. Our results show that by using a suitable GSN curve representation, a GM approach, and SVM analysis, it is possible to obtain a robust separation between the sexes that is stable for a multipopulation sample.

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Section: Discussionsupporting

confidence: 48%

“…The second sample consisted of Hispanics from the Osteological Collection of the Universidad Nacional Aut onoma de M exico (UNAM 1 ), at the Anthropology Section, Department of Anatomy, School of Medicine (G omez-Vald es et al, 2012). This sample consisted of 115 photographs of adult human pelvic bones (55 females and 60 males).…”

Section: Methodsmentioning

confidence: 99%

Technical Note: Geometric morphometrics and sexual dimorphism of the greater sciatic notch in adults from two skeletal collections: The accuracy and reliability of sex classification

Velemínská

Krajíček

Dupej

et al. 2013

American J Phys Anthropol

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“…metric variable/measurement) across the entire range of data points rather than just a single cut-off value [30]. It has been used to investigate forensic problems as the ability of experts and non-experts to differentiate between adult and child human bite marks [31] or for comparison between different methods [32]. Traditional osteometric studies mainly use discriminant function analysis for the study of sexual dimorphism; yet, there are a few studies that utilised ROC curves [33].…”

Section: Discussionmentioning

confidence: 99%

Estimation of Sex from the Upper Limb in Modern Cretans with the Aid of ROC-Analysis: A Technical Report

Kranioti¹

2015

FRCIJ

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Discriminant function analysis is one of the most popular methods employed for grouping specimens according to optimal combination of linear measurements. Many studies have used this method with the objective of producing population specific formulae for sex estimation from different skeletal parts of the skeleton. This study focuses on the long bones of the upper limb using Receiving operation characteristics (ROC) curves. A total of 173 well preserved skeletons of Cretan origin were used. A total of 12 measurements are taken from the bones of the upper limn. The diagnostic value of the single variables was evaluated using the Area Under the Curve (AUC). The cut-off values and the diagnostic characteristics of each variable (Sensitivity, Specificity, Positive and Negative predictive values) are presented. The correlation of normally distributed the variables will be tested with the method Pearson correlation coefficient. The level of statistical significance is set to p<0.05 (a-error). Means, standard deviations and F-ratios for all single dimensions are calculated by performing ANOVA with SPSS 13.0.All measurements are found statistically significant at the level of 0.0001. The best discriminatory variables was found to be radius length (91.3%) followed by humerus head vertical diameter (90.2%) and ulnar length (89%). Comparison with published standards for mainland Greece reaffirms a scope for developing additional standards for modern Cretans. Traditional methods use discriminant function analysis to study sexual dimorphism. Herein a different approach is proposed. ROC curves, known to be very effective in medical decision making, are employed in the evaluation of several variables as effective markers for sex identification. The method should complement multivariate statistical analyses.

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“…the big fours of Forensic Anthropology [37]. The pelvis [38,39] and skull [40] are commonly used for sex determination. Anatomical landmarks seen on the skull for such determinations include temporal line, the eye sockets, the supraorbital ridge, [41] nuchal lines, and the mastoid process and zygomatic bone [42].…”

Section: Role Of Osteologymentioning

confidence: 99%

Anatomy in Forensics: Applications and Need for Collaboration

Jervas¹

2017

FRCIJ

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Anatomical Sciences are important in medical and forensic education and investigations. Areas of Anatomical Sciences which are important in forensic education and investigations have been highlighted and discussed. Therefore there is need for collaboration among Anatomist who are interested in forensic education and investigations with other Forensic Scientists. This collaboration will create opportunity for exchange of ideas required for proper investigations in Forensics as well as employment opportunity.

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Comparison of methods to determine sex by evaluating the greater sciatic notch: Visual, angular and geometric morphometrics

Cited by 35 publications

References 32 publications

Technical Note: Geometric morphometrics and sexual dimorphism of the greater sciatic notch in adults from two skeletal collections: The accuracy and reliability of sex classification

Technical Note: Geometric morphometrics and sexual dimorphism of the greater sciatic notch in adults from two skeletal collections: The accuracy and reliability of sex classification

Estimation of Sex from the Upper Limb in Modern Cretans with the Aid of ROC-Analysis: A Technical Report

Anatomy in Forensics: Applications and Need for Collaboration

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