Sexual Dimorphism of Thecapitate Using 3D Data

Start Date

8-11-2017 8:30 AM

End Date

8-11-2017 12:30 PM

Abstract

This pilot study explores the potential of using 3-dimensional data from capitates for the sex assessment of unknown individuals. A sample of left capitates from 12 adult males and 14 adult females of European-American ancestry were chosen from the documented collection of the Maxwell Museum of Anthropology at the University of New Mexico. These bones were scanned with an HDI Advance white light scanner to obtain high-resolution 3D models of the bones. Measurements included total volume and surface area, as well as surface areas of articular surfaces alone and in combinations. Discriminant function analysis was used to develop an equation for sex estimation for these 26 individuals. The most successful equation includes the capitate volume and the combined articular surface areas for the lunate and scaphoid. In the internal sample this lead to an accuracy of 100% for females (14/14) and 91.67% (11/12) for males. Other combinations of volume with different articular surface areas provided identical results for females but a reduced accuracy in males (83.33%; 10/12). The most accurate equation classified 80% accurately (4/5) for both males and females in an additional sample (n=10, equal males and females).

Comments

Co-authors on poster: Heather J.H. Edgar Shamsi Daneshvari Berry Will Marquardt

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Sexual Dimorphism of Thecapitate Using 3D Data

This pilot study explores the potential of using 3-dimensional data from capitates for the sex assessment of unknown individuals. A sample of left capitates from 12 adult males and 14 adult females of European-American ancestry were chosen from the documented collection of the Maxwell Museum of Anthropology at the University of New Mexico. These bones were scanned with an HDI Advance white light scanner to obtain high-resolution 3D models of the bones. Measurements included total volume and surface area, as well as surface areas of articular surfaces alone and in combinations. Discriminant function analysis was used to develop an equation for sex estimation for these 26 individuals. The most successful equation includes the capitate volume and the combined articular surface areas for the lunate and scaphoid. In the internal sample this lead to an accuracy of 100% for females (14/14) and 91.67% (11/12) for males. Other combinations of volume with different articular surface areas provided identical results for females but a reduced accuracy in males (83.33%; 10/12). The most accurate equation classified 80% accurately (4/5) for both males and females in an additional sample (n=10, equal males and females).