Abstract

Femur parameters are key prerequisites for scientifically designing anatomical plates. Meanwhile, individual differences in femurs present a challenge to design well-fitting anatomical plates. Therefore, to design anatomical plates more scientifically, analyses of femur parameters with statistical methods were performed in this study. The specific steps were as follows. First, taking eight anatomical femur parameters as variables, 100 femur samples were classified into three classes with factor analysis and Q-type cluster analysis. Second, based on the mean parameter values of the three classes of femurs, three sizes of average anatomical plates corresponding to the three classes of femurs were designed. Finally, based on Bayes discriminant analysis, a new femur could be assigned to the proper class. Thereafter, the average anatomical plate suitable for that new femur was selected from the three available sizes of plates. Experimental results showed that the classification of femurs was quite reasonable based on the anatomical aspects of the femurs. For instance, three sizes of condylar buttress plates were designed. Meanwhile, 20 new femurs are judged to which classes the femurs belong. Thereafter, suitable condylar buttress plates were determined and selected.

Highlights

  • Orthopaedic surgeons often use anatomical plates to treat bone fractures [1]

  • To analyse anatomical information of femurs, anatomical parameters are necessary. These parameters include the height of the total femur (Hf ), the neck-shaft angle (Ans), the width of the femoral condyle (Wf ), the radius of the femoral head (Rfh), the radius of the femoral neck (Rfn), the height of the femoral shaft (Hfs), and the medial anterior-posterior (Lm) and lateral anterior-posterior (Ll) widths

  • From the component plot in rotated space, it is intuitively seen that component 1 mainly explains Hf, Wf, Rfh, Rfn, Hfs, Lm, and Ll, and component 2 mainly explains Ans

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Summary

Introduction

Orthopaedic surgeons often use anatomical plates to treat bone fractures [1]. There has been an accelerated drive to design, develop, and manufacture anatomical plates in recent years. Significant differences in femoral sizes and shapes are manifest across gender, age, race, region, and so forth. These differences present a big challenge for the design of well-fitting anatomical plates for the mass market. The clinician has to implement trimming and reshaping repeatedly to address the poor match between the selected plate and the actual bone. New methods are greatly needed to conveniently design anatomical plates that match bones well

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