Geometric morphometric analysis reveals age-related differences in the distal femur of Europeans

12Citations
Citations of this article
28Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: Few studies have looked into age-related variations in femur shape. We hypothesized that three-dimensional (3D) geometric morphometric analysis of the distal femur would reveal age-related differences. The purpose of this study was to show that differences in distal femur shape related to age could be identified, visualized, and quantified using three-dimensional (3D) geometric morphometric analysis. Methods: Geometric morphometric analysis was carried out on CT scans of the distal femur of 256 subjects living in the south of France. Ten landmarks were defined on 3D reconstructions of the distal femur. Both traditional metric and geometric morphometric analyses were carried out on these bone reconstructions. These analyses were used to identify trends in bone shape in various age-based subgroups (<40, 40–60, >60). Results: Only the average bone shape of the < 40-year subgroup was statistically different from that of the other two groups. When the population was divided into two subgroups using 40 years of age as a threshold, the subject's age was correctly assigned 80% of the time. Discussion: Age-related differences are present in this bone segment. This reliable, accurate method could be used for virtual autopsy and to perform diachronic and interethnic comparisons. Moreover, this study provides updated morphometric data for a modern population in the south of France. Conclusion: Manufacturers of knee replacement implants will have to adapt their prosthesis models as the population evolves over time.

Cite

CITATION STYLE

APA

Cavaignac, E., Savall, F., Chantalat, E., Faruch, M., Reina, N., Chiron, P., & Telmon, N. (2017). Geometric morphometric analysis reveals age-related differences in the distal femur of Europeans. Journal of Experimental Orthopaedics, 4(1). https://doi.org/10.1186/s40634-017-0095-3

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free