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Applicability and limitations of sex assessment based on foramen magnum

Z. Seifert, L. Friedl, K. Chaumoitre, J. Brůžek,

. 2017 ; 271 (-) : 126.e1-126.e9. [pub] 20161208

Jazyk angličtina Země Irsko

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc18025210
E-zdroje Online Plný text

NLK ProQuest Central od 1997-02-07 do Před 2 měsíci
Nursing & Allied Health Database (ProQuest) od 1997-02-07 do Před 2 měsíci
Health & Medicine (ProQuest) od 1997-02-07 do Před 2 měsíci

Sex assessment of skeletal remains in the context of forensic investigation is one of the most important components when constructing biological profile of the deceased individual since it helps to significantly narrow down the number of potential victims. Therefore, the number of methods suitable to estimate sex should be as wide as possible, especially for cases of highly fragmented remains. This paper offers a classification method for sexing human remains based on an area around foramen magnum and tests other similar discriminatory functions published elsewhere on an independent sample from the circummediterranean region. We provide discriminant and logistic regression functions for several sets of variable combinations derived from head CT images. None of the functions performs reliably enough to be used in the forensic context. The same holds true for other discriminatory functions published in the literature. For most of the functions, the failure rate (its inability to successfully assign sex of an unknown individual) reaches 100%. Thus, despite the fact that foramen magnum is sexually dimorphic in most populations, its use in sexing cranial remains in the forensic context should be limited only to cases in which we know population affinity of unknown skeletal remains and can provide referential data from the same population to estimate sex.

Citace poskytuje Crossref.org

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$a Friedl, Lukáš $u Department of Anthropology, University of West Bohemia, 30614 Plzeň, Czech Republic. Electronic address: lukas.friedl@gmail.com.
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