Biwasaka H, Aoki Y, Sato K, Tanijiri T, Fujita S, Dewa K, Yoshioka K, Tomabechi M (2011) Forensic anthropology population data analyses of sexual dimorphism of reconstructed pelvic computed tomography images of contemporary Japanese using curvature of the greater sciatic notch, pubic arch and greater pelvis. Forensic Sci Int 219(1–3):1–288e8. https://doi.org/10.1016/j.forsciint.2011.11.032
Spradley M, Katherine, Jantz RL (2011) Sex estimation in forensic anthropology: Skull versus postcranial elements. J Forensic Sci 56(2):289–296. https://doi.org/10.1111/J.1556-4029.2010.01635.X
Ogawa Y, Imaizumi K, Miyasaka S, Yoshino M (2013) Discriminant functions for sex estimation of modern Japanese skulls. J Forensic Leg Med 20(4):234–238. https://doi.org/10.1016/J.JFLM.2012.09.023
Tambawala SS, Karjodkar FR, Sansare K, Prakash N, Dora AC (2016) Sexual dimorphism of foramen magnum using cone Beam Computed Tomography. J Forensic Leg Med 44:29–34. https://doi.org/10.1016/j.jflm.2016.08.005
Klales AR (2020) Sex estimation using pelvis morphology. Sex Estimation of the Human Skeleton: History, Methods, and Emerging Techniques, 75–94. https://doi.org/10.1016/B978-0-12-815767-1.00006-7
Manjatika AT, Davimes JG, Mazengenya P (2024) Estimation of sex using dimensions around the metatarsal diaphyseal nutrient foramen: application of discriminant function analysis and logistic regression models. Leg Med 68:102417. https://doi.org/10.1016/J.LEGALMED.2024.102417
Patriquin ML, Steyn M, Loth SR (2002) Metric assessment of race from the pelvis in South africans. Forensic Sci Int 127(1–2):104–113. https://doi.org/10.1016/S0379-0738(02)00113-5
Article CAS PubMed Google Scholar
Monum T, Prasitwattanseree S, Das S, Siriphimolwat P, Mahakkanukrauh P (2017) Sex estimation by femur in modern Thai population. Clin Ther 168(3):203–207. https://doi.org/10.7417/T.2017.2007
Alunni-Perret V, Staccini P, Quatrehomme G (2008) Sex determination from the distal part of the femur in a French contemporary population. Forensic Sci Int 175(2–3):113–117. https://doi.org/10.1016/j.forsciint.2007.05.018
Article CAS PubMed Google Scholar
Srivastava R, Saini V, Rai RK, Pandey S, Tripathi SK (2012) A study of sexual dimorphism in the femur among North indians. J Forensic Sci 57(1):19–23. https://doi.org/10.1111/J.1556-4029.2011.01885.X
Moore MK, DiGangi EA, Ruíz FPN, Davila OJH, Medina CS (2016) Metric sex estimation from the postcranial skeleton for the Colombian population. Forensic Sci Int 262:286–e1. https://doi.org/10.1016/j.forsciint.2016.02.018
Clavero A, Salicrú M, Turbón D (2015) Sex prediction from the femur and hip bone using a sample of CT images from a Spanish population. Int J Legal Med 129(2):373–383. https://doi.org/10.1007/s00414-014-1069-y
Curate F, Coelho J, Gonçalves D, Coelho C, Ferreira MT, Navega D, Cunha E (2016) A method for sex estimation using the proximal femur. Forensic Sci Int 266:579–e1. https://doi.org/10.1016/j.forsciint.2016.06.011
Djorojević M, Roldán C, Botella M, Alemán I (2019) Sex assessment from the proximal femur in the Spanish population based on three-dimensional computed tomography metric analysis. Vojnosanit Pregl 76(12):1245–1252. https://doi.org/10.2298/VSP170920031D
Fliss B, Luethi M, Fuernstahl P, Christensen AM, Sibold K, Thali M, Ebert LC (2019) CT-based sex estimation on human femora using statistical shape modeling. Am J Phys Anthropol 169(2). https://doi.org/10.1002/ajpa.23828
Hussein MAHA, Abulnoor BAES (2019) Sex estimation of femur using simulated metapopulation database: a preliminary investigation. Forensic Sci International: Rep 1:100009. https://doi.org/10.1016/J.FSIR.2019.100009
Cuzzullin MC, Curate F, Freire AR, Costa ST, Prado FB, Junior D, Cunha E, E., Rossi AC (2022) Validation of anthropological measures of the human femur for sex estimation in brazilians. Australian J Forensic Sci 54(1):61–74. https://doi.org/10.1080/00450618.2020.1729411
Steyn M, Işcan MY (1997) Sex determination from the femur and tibia in South African whites. Forensic Sci Int 90(1–2):111–119. https://doi.org/10.1016/S0379-0738(97)00156-4
Article CAS PubMed Google Scholar
Asala SA (2001) Sex determination from the head of the femur of South African whites and blacks. Forensic Sci Int 117(1–2):15–22. https://doi.org/10.1016/S0379-0738(00)00444-8
Article CAS PubMed Google Scholar
Asala SA, Bidmos MA, Dayal MR (2004) Discriminant function sexing of fragmentary femur of South African blacks. Forensic Sci Int 145(1):25–29. https://doi.org/10.1016/J.FORSCIINT.2004.03.010
Article CAS PubMed Google Scholar
Mokoena P, Billings BK, Gibbon V, Bidmos MA, Mazengenya P (2019) Development of discriminant functions to estimate sex in upper limb bones for mixed ancestry South africans. Sci Justice 59(6):660–666. https://doi.org/10.1016/j.scijus.2019.06.007
Krüger GC, L’Abbé EN, Stull KE (2017) Sex estimation from the long bones of modern South africans. Int J Legal Med 131:275–285. https://doi.org/10.1007/s00414-016-1488-z
Liebenberg L, Krüger GC, L’Abbé EN, Stull KE (2019) Postcraniometric sex and ancestry estimation in South Africa: a validation study. Int J Legal Med 133:289–296. https://doi.org/10.1007/s00414-018-1865-x
Robinson MS, Bidmos MA (2011) An assessment of the accuracy of discriminant function equations for sex determination of the femur and tibia from a South African population. Forensic Sci Int 206(1–3). 212.e1-212.e5https://doi.org/10.1016/j.forsciint.2010.12.009
Dayal MR, Spocter MA, Bidmos MA (2008) An assessment of sex using the skull of black South africans by discriminant function analysis. HOMO- J Comp Hum Biology 59(3). https://doi.org/10.1016/j.jchb.2007.01.001
L’Abbé A, Loots M, Meiring JH (2005) The Pretoria Bone Collection: a modern South African skeletal sample. HOMO-Journal Comp Hum Biology 56:197–205. https://doi.org/10.1016/j.jchb.2004.10.00417
Gibbon VE, Morris AG (2021) UCT human skeletal repository: its stewardship, history, composition and educational use. Homo: Int Z Fur Die Vergleichende Forschung Am Menschen 72(2):139–147. https://doi.org/10.1127/HOMO/2021/1402
Abe T, Kearns CF, Fukunaga T (2003) Sex differences in whole body skeletal muscle mass measured by magnetic resonance imaging and its distribution in young Japanese adults. Br J Sports Med 37(5):436–440. https://doi.org/10.1136/BJSM.37.5.436
Article CAS PubMed PubMed Central Google Scholar
Flügge T, Hövener JB, Ludwig U, Eisenbeiss AK, Spittau B, Hennig J, Schmelzeisen R, Nelson K (2016) Magnetic resonance imaging of intraoral hard and soft tissues using an intraoral coil and FLASH sequences. Eur Radiol 26(12):4616–4623. https://doi.org/10.1007/S00330-016-4254-1/FIGURES/5
Article PubMed PubMed Central Google Scholar
González-Colmenares G, Sanabria Medina C, Rojas-Sánchez MP, León K, Malpud A (2019) Sex estimation from skull base radiographs in a contemporary Colombian population. J Forensic Leg Med 62:77–81. https://doi.org/10.1016/j.jflm.2019.01.006
Cavalcanti MGP, Haller JW, Vannier MW (1999) Three-dimensional computed tomography landmark measurement in craniofacial surgical planning: experimental validation in vitro. J Oral Maxillofac Surg 57(6):690–694. https://doi.org/10.1016/S0278-2391(99)90434-2
Article CAS PubMed Google Scholar
Decker SJ, Davy-Jow SL, Ford JM, Hilbelink DR (2011) Virtual determination of sex: Metric and nonmetric traits of the adult pelvis from 3D computed tomography models. J Forensic Sci 56(5):1107–1114. https://doi.org/10.1111/J.1556-4029.2011.01803.X
Cavalcanti MGP, Vannier MW (2014) Quantitative analysis of spiral computed tomography for craniofacial clinical applications. Dentomaxillofacial Radiol 27(6):344–350. https://doi.org/10.1038/sj/dmfr/4600389
Krishan K, Chatterjee PM, Kanchan T, Kaur S, Baryah N, Singh RK (2016) A review of sex estimation techniques during examination of skeletal remains in forensic anthropology casework. Forensic Sci Int 261:165–e1. https://doi.org/10.1016/j.forsciint.2016.02.007
Simmons-Ehrhardt TL, Ehrhardt CJ, Monson KL (2019) Evaluation of the suitability of cranial measurements obtained from surface-rendered CT scans of living people for estimating sex and ancestry. J Forensic Radiol Imaging 19:100338. https://doi.org/10.1016/J.JOFRI.2019.100338
Comments (0)