UZH-Logo

Maintenance Infos

Sex determination from the foramen magnum


Edwards, K; Viner, M D; Schweitzer, Wolf; Thali, Michael J (2013). Sex determination from the foramen magnum. Journal of Forensic Radiology and Imaging, 1(4):186-192.

Abstract

This paper presents the findings of a study to investigate the value of measurements of the foramen magnum in relation to the determination of biological sex. The study performed a large-scale analysis of 250 adult individuals (male=144, female=106) from a modern Swiss population utilising CT data acquired in the context of the Virtopsy® Project. Data was analysed using discriminant function and binary logistic regression techniques and visual observations of the morphology of the foramen magnum were made to contextualise the findings. The study found that with all variables, males and females were equally classified at 66 accuracy by discriminant function analysis, where binary logistic regression was comparatively poor at classifying females despite an overall classification rate of 66.4. The morphology of the foramen magnum was classified in 88 of the sample by visual assessment according to seven shape types; however 12 of the sample was unclassified due to shape irregularities arising from asymmetry and rim complexities. This study concludes that while measurements of the foramen magnum appear to demonstrate statistically significant differences between the sexes, the ability to discriminate sex may be limited by morphological variation. This may also influence the accuracy to which sex can be determined in individual crania and thus the isolated use of this method is not advisable unless as a suggestive finding when other features of assessment are absent or limited. © 2013 Elsevier Ltd.

This paper presents the findings of a study to investigate the value of measurements of the foramen magnum in relation to the determination of biological sex. The study performed a large-scale analysis of 250 adult individuals (male=144, female=106) from a modern Swiss population utilising CT data acquired in the context of the Virtopsy® Project. Data was analysed using discriminant function and binary logistic regression techniques and visual observations of the morphology of the foramen magnum were made to contextualise the findings. The study found that with all variables, males and females were equally classified at 66 accuracy by discriminant function analysis, where binary logistic regression was comparatively poor at classifying females despite an overall classification rate of 66.4. The morphology of the foramen magnum was classified in 88 of the sample by visual assessment according to seven shape types; however 12 of the sample was unclassified due to shape irregularities arising from asymmetry and rim complexities. This study concludes that while measurements of the foramen magnum appear to demonstrate statistically significant differences between the sexes, the ability to discriminate sex may be limited by morphological variation. This may also influence the accuracy to which sex can be determined in individual crania and thus the isolated use of this method is not advisable unless as a suggestive finding when other features of assessment are absent or limited. © 2013 Elsevier Ltd.

Citations

Altmetrics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Legal Medicine
Dewey Decimal Classification:340 Law
610 Medicine & health
Language:English
Date:2013
Deposited On:23 Oct 2013 07:21
Last Modified:05 Apr 2016 17:03
Publisher:Elsevier
ISSN:2212-4780
Additional Information:cited By (since 1996)0
Publisher DOI:https://doi.org/10.1016/j.jofri.2013.06.004
Official URL:http://www.scopus.com/inward/record.url?eid=2-s2.0-84884700394&partnerID=40&md5=df37adaa9cbbe8566d5291d041dd119a

Download

Full text not available from this repository.View at publisher

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations