Multi-detector computed tomography for the estimation of sex from sternal medullary cavity measurements in Sudanese individuals

Estimating sex from fragmentary body parts are pivotal for establishing identity. This study assessed the applicability of multidetector computed tomography (MDCT) for determining the dimensions of the sternal medullary cavity for sex estimation in the contemporary Sudanese population. The primary a...

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Autores principales:	Altayeb Abdalla Ahmed, Alaa Osman Koko, Magda M. Elsayed
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Forensic Sex estimation Computed tomography Sternum Sudanese Criminal law and procedure K5000-5582
Acceso en línea:	https://doaj.org/article/16b48da9688043eb8a1f6f8b882b741c
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spelling	oai:doaj.org-article:16b48da9688043eb8a1f6f8b882b741c2021-11-22T04:30:39ZMulti-detector computed tomography for the estimation of sex from sternal medullary cavity measurements in Sudanese individuals2665-910710.1016/j.fsir.2021.100244https://doaj.org/article/16b48da9688043eb8a1f6f8b882b741c2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S266591072100075Xhttps://doaj.org/toc/2665-9107Estimating sex from fragmentary body parts are pivotal for establishing identity. This study assessed the applicability of multidetector computed tomography (MDCT) for determining the dimensions of the sternal medullary cavity for sex estimation in the contemporary Sudanese population. The primary and secondary objectives were to assess the applicability of the sternal medullary cavity dimensions for sex estimation in the Sudanese population using MDCT and to compare the application of discriminant functions and logistic regression in sexing. MDCT scans of 180 adult living subjects (87 males, 93 females; age range 18–90 years) were studied. Two medullary diagonal crossing-length dimensions were measured through the midpoint of the first costal cartilage articular facets. Summary statistical analyses with independent t-test were conducted to assess sexual differences. Discriminant function and logistic regression equations were developed to estimate sex. Statistically significant sexual dimorphism was observed for the three measurements (p < 0.001). For sex determination, binary logistic regression performed better than the discriminant function analysis. The best model predicts sex with a rate of accuracy of 82.8% and a sex bias of 2.3%. Therefore, the medullary diagonal crossing-length dimensions can be used for sexing with high accuracy when more accurate body parts are absent.Altayeb Abdalla AhmedAlaa Osman KokoMagda M. ElsayedElsevierarticleForensicSex estimationComputed tomographySternumSudaneseCriminal law and procedureK5000-5582ENForensic Science International: Reports, Vol 4, Iss , Pp 100244- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Forensic Sex estimation Computed tomography Sternum Sudanese Criminal law and procedure K5000-5582
spellingShingle	Forensic Sex estimation Computed tomography Sternum Sudanese Criminal law and procedure K5000-5582 Altayeb Abdalla Ahmed Alaa Osman Koko Magda M. Elsayed Multi-detector computed tomography for the estimation of sex from sternal medullary cavity measurements in Sudanese individuals
description	Estimating sex from fragmentary body parts are pivotal for establishing identity. This study assessed the applicability of multidetector computed tomography (MDCT) for determining the dimensions of the sternal medullary cavity for sex estimation in the contemporary Sudanese population. The primary and secondary objectives were to assess the applicability of the sternal medullary cavity dimensions for sex estimation in the Sudanese population using MDCT and to compare the application of discriminant functions and logistic regression in sexing. MDCT scans of 180 adult living subjects (87 males, 93 females; age range 18–90 years) were studied. Two medullary diagonal crossing-length dimensions were measured through the midpoint of the first costal cartilage articular facets. Summary statistical analyses with independent t-test were conducted to assess sexual differences. Discriminant function and logistic regression equations were developed to estimate sex. Statistically significant sexual dimorphism was observed for the three measurements (p < 0.001). For sex determination, binary logistic regression performed better than the discriminant function analysis. The best model predicts sex with a rate of accuracy of 82.8% and a sex bias of 2.3%. Therefore, the medullary diagonal crossing-length dimensions can be used for sexing with high accuracy when more accurate body parts are absent.
format	article
author	Altayeb Abdalla Ahmed Alaa Osman Koko Magda M. Elsayed
author_facet	Altayeb Abdalla Ahmed Alaa Osman Koko Magda M. Elsayed
author_sort	Altayeb Abdalla Ahmed
title	Multi-detector computed tomography for the estimation of sex from sternal medullary cavity measurements in Sudanese individuals
title_short	Multi-detector computed tomography for the estimation of sex from sternal medullary cavity measurements in Sudanese individuals
title_full	Multi-detector computed tomography for the estimation of sex from sternal medullary cavity measurements in Sudanese individuals
title_fullStr	Multi-detector computed tomography for the estimation of sex from sternal medullary cavity measurements in Sudanese individuals
title_full_unstemmed	Multi-detector computed tomography for the estimation of sex from sternal medullary cavity measurements in Sudanese individuals
title_sort	multi-detector computed tomography for the estimation of sex from sternal medullary cavity measurements in sudanese individuals
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/16b48da9688043eb8a1f6f8b882b741c
work_keys_str_mv	AT altayebabdallaahmed multidetectorcomputedtomographyfortheestimationofsexfromsternalmedullarycavitymeasurementsinsudaneseindividuals AT alaaosmankoko multidetectorcomputedtomographyfortheestimationofsexfromsternalmedullarycavitymeasurementsinsudaneseindividuals AT magdamelsayed multidetectorcomputedtomographyfortheestimationofsexfromsternalmedullarycavitymeasurementsinsudaneseindividuals
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Multi-detector computed tomography for the estimation of sex from sternal medullary cavity measurements in Sudanese individuals

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