Literature DB >> 35945460

Sexual dimorphism in shape and size of the neurocranium.

Diana H Toneva1, Silviya Y Nikolova2, Elena D Tasheva-Terzieva3, Dora K Zlatareva4, Nikolai E Lazarov5.   

Abstract

Sex identification is a primary step in forensic analysis of skeletal remains. The accuracy of sex estimation methods greatly depends on the sexual dimorphism manifested by the target anatomical region. The study aims to evaluate the sexual dimorphism in shape and size of the neurocranium and to compare the potential of shape and size of different cranial regions to classify correctly the male and female crania. The study was carried out on computed tomography images of 373 Bulgarian adults (161 males and 212 females). Three-dimensional coordinates of 32 landmarks were acquired. The landmarks were arranged in 4 configurations: neurocranium, frontal bone, parietotemporal region, and occipital bone. For each configuration, the presence of significant sex differences in shape and size was tested. Principal component analysis (PCA) was applied to explore the shape variation. The classification power of size and shape was tested using discriminant analysis and k-means clustering. The neurocranium shows significant sex differences in shape and size. The parietotemporal region is the most dimorphic neurocranial part in size and the frontal bone is the most differing one in shape. The size of the parietotemporal region and frontal bone classifies correctly more than 80% of the crania. The discrimination ability based on shape is rather low as the highest values of about 70% are obtained for the frontal and occipital bone. The PCA plots show large overlapping of the male and female crania. It can be inferred that the sex-specific size differences in the neurocranium are more important than the shape differences.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  3D landmarks; Computed tomography; Geometric morphometrics; Neurocranium; Sexual dimorphism

Mesh:

Year:  2022        PMID: 35945460     DOI: 10.1007/s00414-022-02876-0

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.791


  36 in total

1.  Three-dimensional geometric morphometric analysis of cranio-facial sexual dimorphism in a Central European sample of known sex.

Authors:  L Bigoni; J Velemínská; J Brůzek
Journal:  Homo       Date:  2010-02-11

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

Authors:  Šárka Bejdová; Ján Dupej; Václav Krajíček; Jana Velemínská; Petr Velemínský
Journal:  Int J Legal Med       Date:  2017-06-21       Impact factor: 2.686

3.  Assessment of sex in a modern Turkish population using cranial anthropometric parameters.

Authors:  Oguzhan Ekizoglu; Elif Hocaoglu; Ercan Inci; Ismail Ozgur Can; Dilek Solmaz; Sema Aksoy; Cudi Ferat Buran; Ibrahim Sayin
Journal:  Leg Med (Tokyo)       Date:  2016-06-03       Impact factor: 1.376

4.  Machine learning approaches for sex estimation using cranial measurements.

Authors:  Diana Toneva; Silviya Nikolova; Gennady Agre; Dora Zlatareva; Vassil Hadjidekov; Nikolai Lazarov
Journal:  Int J Legal Med       Date:  2020-11-11       Impact factor: 2.686

5.  Data mining for sex estimation based on cranial measurements.

Authors:  Diana H Toneva; Silviya Y Nikolova; Gennady P Agre; Dora K Zlatareva; Vassil G Hadjidekov; Nikolai E Lazarov
Journal:  Forensic Sci Int       Date:  2020-08-02       Impact factor: 2.395

6.  Sex determination of a Tunisian population by CT scan analysis of the skull.

Authors:  Malek Zaafrane; Mehdi Ben Khelil; Ines Naccache; Ekbel Ezzedine; Frédéric Savall; Norbert Telmon; Najla Mnif; Moncef Hamdoun
Journal:  Int J Legal Med       Date:  2017-09-21       Impact factor: 2.686

7.  Advanced procedures for skull sex estimation using sexually dimorphic morphometric features.

Authors:  Andreas Bertsatos; Maria-Eleni Chovalopoulou; Jaroslav Brůžek; Šárka Bejdová
Journal:  Int J Legal Med       Date:  2020-06-05       Impact factor: 2.686

8.  Study of sexual dimorphism of Malaysian crania: an important step in identification of the skeletal remains.

Authors:  Abdelnasser Ibrahim; Aspalilah Alias; Faridah Mohd Nor; Mohamed Swarhib; Siti Noorain Abu Bakar; Srijit Das
Journal:  Anat Cell Biol       Date:  2017-06-27

9.  Sex Determination of Three-Dimensional Skull Based on Improved Backpropagation Neural Network.

Authors:  Wen Yang; Xiaoning Liu; Kegang Wang; Jiabei Hu; Guohua Geng; Jun Feng
Journal:  Comput Math Methods Med       Date:  2019-01-13       Impact factor: 2.238

10.  Sex Determination of 3D Skull Based on a Novel Unsupervised Learning Method.

Authors:  Hongjuan Gao; Guohua Geng; Wen Yang
Journal:  Comput Math Methods Med       Date:  2018-06-25       Impact factor: 2.238

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