Sex Estimation From Histomorphometric Analysis of Cortical Bone: A Hospital-based Study
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Abstract
Estimation of the sex of unknown skeletal remains is a daunting challenge, when only fragmented bones are available. For this reason, there is a need to study population specific histomorphometric features of bones to provide useful data for the process of identification. The purpose of this study was to estimate sex from six histomorphometric parameters of cortical bones in a cohort of Nigerian patients.
The samples comprised non-pathologic bones collected from 29 patients (12 females and 17 males) between the ages of 35 to 85 years during orthopaedic procedures. The modified Frost’s manual method was used to prepare the histological sections of the cortical bones. The parameters evaluated were number of primary osteons (Os-p), number of secondary osteons (Os-s), osteon fragments (Os-f), non-Haversian canal (N-Hc), area of Haversian canal (Area Hc), and Haversian canal diameter (HCD). The data obtained were analyzed using SPSS version 23.0. Tests for sex differences were done using student t-test and stepwise discriminant function was used to formulate a predictive model for sex estimation.
The mean Os-p, Os-s, Os-f, N-hc, Area HC, and HCD were 2.85 ± 0.86,3.92 ± 1.26,6.08 ± 1.37, 2.23 ± 0.66, 53.43 ± 5.55, and 7.85 ± 0.41 for males and 1.11 ± 0.56, 0.33 ± 0.17, 2.44 ± 0.67, 54.37 ± 6.04 and 7.426 ± 0.35 for females, respectively. The mean value of Os-s was significantly different in males and females (p=0.04). Stepwise discriminant function analysis showed Os-s could be used to estimate sex. 71.4% of our samples were correctly predicted based on sex. Discriminant function values of 0.418 and -0.626 were predictive values for males and females, respectively, using the DFA predictive model.
Our study shows that the number of secondary osteons (Os-s) could be used to estimate sex in Nigerian patients.
Keywords
Sex estimation, primary osteon, secondary osteon, bone, Nigeria, Histomorphometry
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References
Iscan MY, Steyn S. The human skeleton in Forensic medicine, Third ed., Charles C Thomas publisher ltd, Springerfiled, Illinois USA, 2013.
Eboh DEA. A dimorphic study of maxillary first molar crown dimensions of Urhobo in Abraka, South-Southern Nigeria, Journal of Morphological Sciences. 2012;137:60-64.
Lynnerup N, Thomsen JL, Frohlich B. Intra- and Inter-observer variation in histological criteria used in age at death determination based on femoral cortical bone, Forensic Sci Int. 1998;91(3):219-230. http: //doi.org / 10.1016/s0379-0738(97)00197-7
Maat GJR, Maes A, Aarents MJ, Nagelkerke NJD. Histological age at death prediction from the femur in a contemporary Dutch sample- The decrease of non remodeled bone in the anterior cortex. J Forensic Sci. 2006;51:230-237. doi: 10.1111/j.1556-4029.2006.00062.x
Kosior W. Age and Notions related to it in Greek Non – legal sources – The contribution to the Research of Roman law 1. Roc2niki Administracji prawa nr. 2016;XVI (1):S.85 – 96.
Janz RJ, Moore-Jansen P. Database for Forensic Anthropology in the United States. 2006; 1962-1991 (ICPSR 2581). V1. https// doi.org/ 10.3886/ICPSR02581.V1.
Kerley ER. The microscopic determination of age in Human bone, American Journal of Physical Anthropology. 1965; 23:149-163.
Aiello L, Molleson T. Are microscopic ageing techniques more accurate than macroscopic ageing techniques? J Archaeological Sci. 1993;20:689-704.
Keough N, Estimation of age at death from the microscopic structure of the femur, MSc Thesis submitted to the School of Medicine, Faculty of Health Sciences, University of Pretoria, South Africa. 2007
Absolonova K, Veleminsky P, Dobisikova M, Beran M, Jarmila ZJ. Histological Estimation of Age at Death from the Compact Bone of Burned and Unburned Human Ribs, J Forensic Sci. 2013;58 No. S1. doi: 10.1111/j.1556-4029.2012.02303.x.
Bradtmiller B, Buikstra J. Effects of burning on human bone microstructure: A preliminary study, J Forensic sci. 1984;29(2):535-540.
Abdullah H, Jamil MMA, Nor FM. Histomorphometric variance of Haversian canal in cortical bone of Malaysian ethnic group, J. Physics conference series. 2018b; 1019 (1) 012009.
Thompson DD. Core technique in the determination of age at death in skeletons, J Forensic Sci. 1979; 24:902-915.
Thompson DD, Gunness-Hey M. Bone mineral-osteon analysis of Yupik-Inupiaq. 1981
Crowther C. Estimation of Age at Death Using Cortical Bone Histomorphometry. Submitted to the U.S. Department of Justice Office of Justice Programs, National Institute of Justice, Award no.240692 2010-DN-BX- K035. 2013
Ericksen MF. Histological estimation of age at death using the anterior cortex of the femur, Am J Phys Anthropol.1991;84:171-179.
Mulhern DM, Van Gerven DP. Patterns of femoral bone remodeling dynamics in a Medieval Nubian population, Am J Phys Anthropol. 1997; 104:133-46.
Abdullah H, Jamil MMA, Ambar R, Nor FM. Bone histology: A key for human sex determination after death, J. Phys. Conf. Ser.2018a;1019 - 012010.
Frost HM. Preparation of thin undecalcified bone sections by rapid manual method, Stain Technology.1958;33:271–276.
Maat GJR, Robert PMV, Aarents MJ. Manual Preparation of Ground Sections for the Microscopy of Natural Bone Tissue: Update and Modification of Frost’s Rapid Manual Method, Int J Osteoarchaeol. 2001; 11:366–374.
George JRM, Robert PMV, MJ (JOB)A. Manual Preparation of Ground Sections for the Microscopy of Natural Bone Tissue: Update and Modification of Frost’s ‘Rapid Manual Method, Int. J. Osteoarchaeol.2001;11:366–374.
Robling AG, Stout SD. Histomorphometry of human cortical bone: Applications to age estimation, in: Katzenberg MA, Saunders SR editors. Biological Anthropology of the Human Skeleton, Wiley-Liss, Inc; 2000, pp. 187-213.
Hall BK. Bones and cartilage: developmental and evolutionary skeletal biology. Elsevier Academic Press, USA, 2005.
Jane LR. An investigation of bone histology as a potential age indicator in Roe Deer. PhD Thesis, Institute of Archaeology, University College London. 1997
Dudek RW, High-Yield Histology, Second ed. Lippincott Williams & Wilkins, Maryland USA,2003.
Keith LM, Persaud TVN, The developing human: Clinically Oriented Embryology, Eight ed. Saunders, Philadelphia (PA), 2007.
Ingraham MR, Histological age estimation of the midshaft clavicle using a new digital technique. MSc Thesis (Biology), University of North Texas.2004
Eroschenko VP, difiore’s Atlas of histology with functional correlations, Eleventh ed.: Lippincott Williams & Wilkins, Philadelphia (PA), 2008
De Boer HH, Maat GJR, The histology of human dry bone: A review. Barge’s Anthropologica CPAG, 2003;22:49 – 65.
Thomas CDL, Stein MS, Feik SA, Wark JD, Clement JG. Determination of age at death using combined morphology and histology of the femur,J. Anat. 2000;196:463 – 471.
Nor FM, Pastor RF, Schutkowski H. Age at death estimation from bone histology in Malaysian males, Med Sci. Law. 2014;50:203-208. doi: 10.1177/0025802413506573
Ramchand SK, Seeman E. The Influence of Cortical Porosity on the Strength of Bone During Growth and Advancing Age, Curr Osteoporos Rep. 2018;16(5):561-572. doi: 10.1007/s11914-018-0478-0. PMID: 30187285.
Cooper DM, Kawalilak CE, Harrison K, Johnston BD, Johnson JD. Cortical Bone Porosity: What Is It, Why Is It Important, and How Can We Detect It? Curr Osteoporos Rep. 2016;14(5):187-98. doi: 10.1007/s11914-016-0319-y. PMID: 27623679.
Burr DB, Ruff CD, Thompson DD. "Patterns of skeletal histologic change through time: comparison of an archaic native American population with modern populations," AnatRec. 1990;226:301-313. doi: 10.1002/ar.1092260306.
Martin RB, Burr DB. Structure, function, and adaptation of compact bone, Raven Press, 1989
Orupabo CD, Oghenemavwe LE, Diamond TE. Histomorphometric estimation of age from bone samples of Nigerians, International Journal of Medicine and Medical Research. 2020;6(2):67-76.
Cooke KM, Mahoney P, Miszkiewicz JJ. Secondary osteon variants and remodeling in human bone, Anat Rec (Hoboken). 2021 Apr 23. doi: 10.1002/ar.24646. Epub ahead of print. PMID: 33890727.
Schnitzler CM, Mesquita JM. Cortical porosity in children is determined by age-dependent osteonal morphology, Bone.2013;55:476–486.
Martin RB. 2003. Functional Adaptation and Fragility of the Skeleton, in: Agarwal SC, Stout SD editors. Bone Loss and Osteoporosis: An Anthropological Perspective, Kluwer Academic/Plenum Publishers, New York, 2003.
Sato Y, Asoh T, Oizumi K. High Prevalence of Vitamin D Deficiency and Reduced Bone Mass in Elderly Women with Alzheimer’s Disease, Bone. 6 (1998a) 555-557.
Sato Y, Fujimatsu Y, Honda Y, Kunoh H, Kikuyama M, Oizumi K. Accelerated Bone Remodeling in Patients with Post stroke Hemiplegia, J Stroke Cerebrovascular Diseases.1998b1:58-62
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