Stability of upper face sexual dimorphism in central European populations (Czech Republic) during the modern age

Bejdová, Šárka; Dupej, Ján; Krajíček, Václav; Velemínská, Jana; Velemínský, Petr

doi:10.1007/s00414-017-1625-3

Cited by 21 publications

(17 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The success rate of sex estimation was 86.41% based on the form of the external frontal surface and 83.49% based on its shape [19]. The method using upper face form achieved 91.1% of correctly classified Czech individuals [28].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A test of the Bulut et al. (2016) landmark‐free method of quantifying sex differences in frontal bone roundness in a contemporary Czech sample

Čechová

Dupej

Brůžek

et al. 2020

Journal of Forensic Sciences

Self Cite

View full text Add to dashboard Cite

The skull, along with the pelvic bone, serves an important source of clues as to the sex of human skeletal remains. The frontal bone is one of the most significant sexually dimorphic structures employed in anthropological research, especially when studied by methods of virtual anthropology. For this reason, many new methods have been developed, but their utility for other populations remains to be verified. In the present study, we tested one such approach—the landmark‐free method of Bulut et al. (2016) for quantifying sexually dimorphic differences in the shape of the frontal bone, developed using a sample of the Turkish population. Our study builds upon this methodology and tests its utility for the Czech population. We evaluated the shape of the male and female frontal bone using 3D morphometrics, comparing virtual models of frontal bones and corresponding software‐generated spheres. To do so, we calculated the relative size of the frontal bone area deviating from the fitted sphere by less than 1 mm and used these data to estimate the sex of individuals. Using our sample of the Czech population, the method estimated the sex correctly in 72.8% of individuals. This success rate is about 5% lower than that achieved with the Turkish sample. This method is therefore not very suitable for estimating the sex of Czech individuals, especially considering the significantly greater success rates of other approaches.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Sexual dimorphism is known to be influenced by both withinand among-population variability [27,28]. It is necessary to keep in mind that sexually dimorphic traits on the skull are population-specific and vary between populations.…”

Section: Discussionmentioning

confidence: 99%

A test of the Bulut et al. (2016) landmark‐free method of quantifying sex differences in frontal bone roundness in a contemporary Czech sample

Čechová

Dupej

Brůžek

et al. 2020

Journal of Forensic Sciences

Self Cite

View full text Add to dashboard Cite

show abstract

“…Presently, some studies have peaked to over 90% accuracy in ancestry estimation, using new approaches such as geometric morphometrics, but these methods as applied to sex estimation have yielded a much lower accuracy of ~70% (Fortes de Oliveira et al, 2012;Jiménez-Arenas & Esquivel, 2013;Murphy & Garvin, 2018;Webster & David Sheets, 2010;Zelditch, Swiderski, & David Sheets, 2012). Our study however harnesses an innovative method-machine learning (Bejdová, Dupej, Krajíček, Velemínská, & Velemínský, 2018;Bewes, Low, Morphett, Pate, & Henneberg, 2019;Gao, Geng, & Yang, 2018).…”

Section: | Introductionmentioning

confidence: 92%

Sex estimation in cranial remains: A comparison of machine learning and discriminant analysis in Italian populations

Pozzi

Raffone

Belcastro

et al. 2020

Preprint

View full text Add to dashboard Cite

Objectives:Using cranial measurements in two Italian populations, we compare machine learning methods to the more traditional method of linear discriminant analysis in estimating sex. We use crania in sex estimation because it is useful especially when remains are fragmented or displaced, and the cranium may be the only remains found. Materials and Methods:Using the machine learning methods of decision tree learning, support-vector machines, knearest neighbor algorithm, and ensemble methods we estimate the sex of two populations:Samples from Bologna and samples from the island of Sardinia. We used two datasets, one containing 17 cranial measurements, and one measuring the foramen magnum. Results and Discussion:Our results indicate that machine learning models produce similar results to linear discriminant analysis, but in some cases machine learning produces more consistent accuracy between the sexes. Our study shows that sex can be accurately predicted (> 80%) in Italian populations using the cranial measurements we gathered, except for the foramen magnum, which shows a level of accuracy of ~70% accurate which is on par with previous geometric morphometrics studies using crania in sex estimation. We also find that our trained machine learning models produce population-specific results; we see that Italian crania are sexually dimorphic, but the features that are important to this dimorphism differ between the populations. 2

show abstract

“…Data acquired from medical imaging modalities have been widely used in the last years. In this regard, computed tomography (CT) scans have been used in many studies on cranial sexual dimorphism [ 7 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 ].…”

Section: Introductionmentioning

confidence: 99%

A Geometric Morphometric Study on Sexual Dimorphism in Viscerocranium

Toneva

Nikolova

Tasheva‐Terzieva

et al. 2022

Biology

View full text Add to dashboard Cite

The level of sexual dimorphism manifested by human bones is an important factor for development of effective sex estimation methods. The aim of the study was to investigate the sexual dimorphism in the size and shape of the viscerocranium using geometric morphometric techniques. It also aimed to explore the sex differences in distinct viscerocranial regions and to establish the most dimorphic region with regard to size and shape. Computed tomography images of 156 males and 184 females were used in the study. Three-dimensional coordinates of 31 landmarks were acquired. Five landmark configurations were constructed from the viscerocranium and its orbital, nasal, maxillary, and zygomatic region. Generalized Procrustes superimposition, principal component analysis, and discriminant analysis were applied to each configuration. The significance of the sex differences in size and shape was assessed and significant differences were found in all configurations. The highest accuracy was obtained from both shape and size of the whole viscerocranium. Based on size only, the highest accuracy was achieved by the nasal region. The accuracy based on shape was generally low for all configurations, but the highest result was attained by the orbital region. Hence, size is a better sex discriminator than shape.

show abstract

Stability of upper face sexual dimorphism in central European populations (Czech Republic) during the modern age

Cited by 21 publications

References 64 publications

A test of the Bulut et al. (2016) landmark‐free method of quantifying sex differences in frontal bone roundness in a contemporary Czech sample

A test of the Bulut et al. (2016) landmark‐free method of quantifying sex differences in frontal bone roundness in a contemporary Czech sample

Sex estimation in cranial remains: A comparison of machine learning and discriminant analysis in Italian populations

A Geometric Morphometric Study on Sexual Dimorphism in Viscerocranium

Contact Info

Product

Resources

About