Sex estimation using proximal femoral parameters of adult population in the Volta region of Ghana

Background: The estimation of sex is a fundamental component in the establishment of a biological profile and a critical step for the identification of skeletal remains in forensic contexts. The proximal femoral geometry is frequently evaluated at crime scene for the estimation of sex, but the use o...

Full description

Bibliographic Details
Main Authors: Raymond Saa-Eru Maalman, Joseph K. Korpisah, Kingsley Ampong, Nancy Darkoa Darko, Isaac E. Ennin, Esther Eseenam Kpordzih, Micheal Barima Kumi, Mahamudu Ayamba Ali, Peter Adatara
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Forensic Science International: Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S266591072300018X
_version_ 1797798591676284928
author Raymond Saa-Eru Maalman
Joseph K. Korpisah
Kingsley Ampong
Nancy Darkoa Darko
Isaac E. Ennin
Esther Eseenam Kpordzih
Micheal Barima Kumi
Mahamudu Ayamba Ali
Peter Adatara
author_facet Raymond Saa-Eru Maalman
Joseph K. Korpisah
Kingsley Ampong
Nancy Darkoa Darko
Isaac E. Ennin
Esther Eseenam Kpordzih
Micheal Barima Kumi
Mahamudu Ayamba Ali
Peter Adatara
author_sort Raymond Saa-Eru Maalman
collection DOAJ
description Background: The estimation of sex is a fundamental component in the establishment of a biological profile and a critical step for the identification of skeletal remains in forensic contexts. The proximal femoral geometry is frequently evaluated at crime scene for the estimation of sex, but the use of radiograph anthropometry for the estimation of sex is rare, even though radiographs would be easier to handle than bone specimen. Aim: The aim of this study was to estimate sex using proximal femoral parameters of adult population in the Volta region of Ghana. Method: This study made use of 214 normal anteroposterior (AP) radiographs of the pelvis that showed the hip joints and the proximal femora. The age and sex were recorded. Four proximal femoral parameters were measured on the radiographs using the ‘DICOM radiology reader software. The hip axis length was measured and mean difference of the parameters between the genders and the laterality categories were assessed. Results: Three out of the four parameters measured; femoral head diameter, neck diameter and hip axis length demonstrated statistically significantly difference (p = 0.0001) between the males and females in both right and left side measurement. The right hip axis length (RHAL) and left head diameter (LHD) contributed significantly to sex estimation. Conclusion: The right hip axis length demonstrates a high accuracy of 81.3% in sex determination among the population. This is the first study to present this finding in this population and might provide another way (if not easier way) to estimate the sex of a given skeletal specimen may give valuable insight into a better-customised implant and prosthesis design.
first_indexed 2024-03-13T04:07:07Z
format Article
id doaj.art-3af67d2bbfed4c40b7713c712ce5a0d5
institution Directory Open Access Journal
issn 2665-9107
language English
last_indexed 2024-03-13T04:07:07Z
publishDate 2023-07-01
publisher Elsevier
record_format Article
series Forensic Science International: Reports
spelling doaj.art-3af67d2bbfed4c40b7713c712ce5a0d52023-06-21T06:59:57ZengElsevierForensic Science International: Reports2665-91072023-07-017100323Sex estimation using proximal femoral parameters of adult population in the Volta region of GhanaRaymond Saa-Eru Maalman0Joseph K. Korpisah1Kingsley Ampong2Nancy Darkoa Darko3Isaac E. Ennin4Esther Eseenam Kpordzih5Micheal Barima Kumi6Mahamudu Ayamba Ali7Peter Adatara8Department of Basic Medical Sciences, School of Medicine, University of Health and Allied Sciences, Ho, Ghana; Correspondence to: Department of Basic Medical Sciences, School of Medicine, University of Health and Allied Sciences, Ho, Volta Region, Ghana.Department of Surgery, School of Medicine, University of Health and Allied Sciences, Ho, GhanaDepartment of Basic Sciences, School of Basic and Biomedical Sciences, University of Health and Allied Sciences, Ho, GhanaDepartment of Anatomy, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi, GhanaDepartment of Physician Assistant Studies, School of Medicine and Health Sciences, Central University, GhanaHo Teaching Hospital/School of Medicine, University of Health and Allied Sciences, Ho, GhanaDepartment of Basic Medical Sciences, School of Medicine, University of Health and Allied Sciences, Ho, GhanaDepartment of Basic Medical Sciences, School of Medicine, University of Health and Allied Sciences, Ho, Ghana; Department of Surgery, School of Medicine, University of Health and Allied Sciences, Ho, GhanaDepartment of Nursing, School of Nursing and Midwifery, School of Medicine, University of Health and Allied Sciences, Ho, GhanaBackground: The estimation of sex is a fundamental component in the establishment of a biological profile and a critical step for the identification of skeletal remains in forensic contexts. The proximal femoral geometry is frequently evaluated at crime scene for the estimation of sex, but the use of radiograph anthropometry for the estimation of sex is rare, even though radiographs would be easier to handle than bone specimen. Aim: The aim of this study was to estimate sex using proximal femoral parameters of adult population in the Volta region of Ghana. Method: This study made use of 214 normal anteroposterior (AP) radiographs of the pelvis that showed the hip joints and the proximal femora. The age and sex were recorded. Four proximal femoral parameters were measured on the radiographs using the ‘DICOM radiology reader software. The hip axis length was measured and mean difference of the parameters between the genders and the laterality categories were assessed. Results: Three out of the four parameters measured; femoral head diameter, neck diameter and hip axis length demonstrated statistically significantly difference (p = 0.0001) between the males and females in both right and left side measurement. The right hip axis length (RHAL) and left head diameter (LHD) contributed significantly to sex estimation. Conclusion: The right hip axis length demonstrates a high accuracy of 81.3% in sex determination among the population. This is the first study to present this finding in this population and might provide another way (if not easier way) to estimate the sex of a given skeletal specimen may give valuable insight into a better-customised implant and prosthesis design.http://www.sciencedirect.com/science/article/pii/S266591072300018XFemurSex estimationRight hip axis lengthHead diameterRadiograph
spellingShingle Raymond Saa-Eru Maalman
Joseph K. Korpisah
Kingsley Ampong
Nancy Darkoa Darko
Isaac E. Ennin
Esther Eseenam Kpordzih
Micheal Barima Kumi
Mahamudu Ayamba Ali
Peter Adatara
Sex estimation using proximal femoral parameters of adult population in the Volta region of Ghana
Forensic Science International: Reports
Femur
Sex estimation
Right hip axis length
Head diameter
Radiograph
title Sex estimation using proximal femoral parameters of adult population in the Volta region of Ghana
title_full Sex estimation using proximal femoral parameters of adult population in the Volta region of Ghana
title_fullStr Sex estimation using proximal femoral parameters of adult population in the Volta region of Ghana
title_full_unstemmed Sex estimation using proximal femoral parameters of adult population in the Volta region of Ghana
title_short Sex estimation using proximal femoral parameters of adult population in the Volta region of Ghana
title_sort sex estimation using proximal femoral parameters of adult population in the volta region of ghana
topic Femur
Sex estimation
Right hip axis length
Head diameter
Radiograph
url http://www.sciencedirect.com/science/article/pii/S266591072300018X
work_keys_str_mv AT raymondsaaerumaalman sexestimationusingproximalfemoralparametersofadultpopulationinthevoltaregionofghana
AT josephkkorpisah sexestimationusingproximalfemoralparametersofadultpopulationinthevoltaregionofghana
AT kingsleyampong sexestimationusingproximalfemoralparametersofadultpopulationinthevoltaregionofghana
AT nancydarkoadarko sexestimationusingproximalfemoralparametersofadultpopulationinthevoltaregionofghana
AT isaaceennin sexestimationusingproximalfemoralparametersofadultpopulationinthevoltaregionofghana
AT esthereseenamkpordzih sexestimationusingproximalfemoralparametersofadultpopulationinthevoltaregionofghana
AT michealbarimakumi sexestimationusingproximalfemoralparametersofadultpopulationinthevoltaregionofghana
AT mahamuduayambaali sexestimationusingproximalfemoralparametersofadultpopulationinthevoltaregionofghana
AT peteradatara sexestimationusingproximalfemoralparametersofadultpopulationinthevoltaregionofghana