Literature DB >> 18692331

Development of the femur--implications for age and sex determination.

Carme Rissech1, Maureen Schaefer, Assumpció Malgosa.   

Abstract

Growth of four variables of the femur (diapyseal length, diaphyseal length plus distal epiphysis, maximum length and vertical diameter of the head) was analyzed by polynomial regression for the purpose of evaluating its significance and capacity for age and sex determination throughout the entire life continuum. Materials included in analysis consisted of 346 specimens ranging from birth to 97 years of age from five documented osteological collections of Western European descent. Linear growth was displayed by each of the four variables. Significant sexual dimorphism was identified in two of the femoral measurements, including maximum length and vertical diameter of the head, from age 15 onward. These results indicate that the two variables may be of use in the determination of sex in sex determination from that age onward. Strong correlation coefficients were identified between femoral size and age for each of the four metric variables. These results indicate that any of the femoral measurements is likely to serve as a useful source to estimate sub-adult age in both archaeological and forensic samples.

Mesh:

Year:  2008        PMID: 18692331     DOI: 10.1016/j.forsciint.2008.06.006

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  10 in total

1.  Humeral development from neonatal period to skeletal maturity--application in age and sex assessment.

Authors:  Carme Rissech; Olalla López-Costas; Daniel Turbón
Journal:  Int J Legal Med       Date:  2012-05-17       Impact factor: 2.686

2.  Age estimation of immature human skeletal remains from the diaphyseal length of the long bones in the postnatal period.

Authors:  Hugo F V Cardoso; Joana Abrantes; Louise T Humphrey
Journal:  Int J Legal Med       Date:  2013-10-15       Impact factor: 2.686

3.  Ontogeny of the female femur: geometric morphometric analysis applied on current living individuals of a Spanish population.

Authors:  Aniol Pujol; Carme Rissech; Jacint Ventura; Joaquim Badosa; Daniel Turbón
Journal:  J Anat       Date:  2014-06-30       Impact factor: 2.610

4.  Age and gender-dependent bone density changes of the human skull disclosed by high-resolution flat-panel computed tomography.

Authors:  Christina Schulte-Geers; Martin Obert; René L Schilling; Sebastian Harth; Horst Traupe; Elke R Gizewski; Marcel A Verhoff
Journal:  Int J Legal Med       Date:  2011-01-15       Impact factor: 2.686

5.  Study of Different Involutive Changes in Bone Mineral Density Measured in Ward's Triangle and Trabecular Volume Measured in Iliac Crest in Relation to Age.

Authors:  R F Castillo; R F Gallegos
Journal:  West Indian Med J       Date:  2014-10-21       Impact factor: 0.171

6.  Infant bone age estimation based on fibular shaft length: model development and clinical validation.

Authors:  Andy Tsai; Catherine Stamoulis; Sarah D Bixby; Micheál A Breen; Susan A Connolly; Paul K Kleinman
Journal:  Pediatr Radiol       Date:  2015-12-04

7.  Age estimation based on 3D post-mortem computed tomography images of mandible and femur using convolutional neural networks.

Authors:  Cuong Van Pham; Su-Jin Lee; So-Yeon Kim; Sookyoung Lee; Soo-Hyung Kim; Hyung-Seok Kim
Journal:  PLoS One       Date:  2021-05-12       Impact factor: 3.240

8.  New quantitative patterns of the growing trachea in human fetuses.

Authors:  Michał Szpinda; Marcin Daroszewski; Anna Szpinda; Alina Woźniak; Marcin Wiśniewski; Celestyna Mila-Kierzenkowska; Mariusz Baumgart; Monika Paruszewska-Achtel
Journal:  Med Sci Monit       Date:  2012-06

9.  Magnetic resonance imaging is the preferred method to assess treatment-related skeletal changes in children with brain tumors.

Authors:  Sue C Kaste; Robert A Kaufman; Amar Gajjar; Alberto Broniscer
Journal:  Pediatr Blood Cancer       Date:  2013-03-22       Impact factor: 3.167

10.  Sex determination in highly fragmented human DNA by high-resolution melting (HRM) analysis.

Authors:  Brenda A Álvarez-Sandoval; Linda R Manzanilla; Rafael Montiel
Journal:  PLoS One       Date:  2014-08-06       Impact factor: 3.240

  10 in total

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