Statistical shape modeling of shape variability of the human distal tibia: implication for implant design of the tibial component for total ankle replacement.

ABSTRACT:

Introduction

Understanding the morphological variability of the distal tibia can help design tibial components of total ankle implants. This study aimed to assess the shape variability of the distal tibial bone, utilizing the statistical shape modeling (SSM) technique.

Methods

A total of 229 tibial bones were analyzed through CT scans to develop SSM models. Principal component analysis (PCA) was employed to characterize shape variation across the male, female, and overall groups. The geometric parameters of the resected surfaces at the 10-mm level above the distal tibial articular surface were compared.

Results

The first seven principal component analysis (PCA) modes accounted for approximately 24.9%-40% of the shape variation, totaling 71.5%-75.6%. Considerable varia

SUBMITTER: Yu J 

PROVIDER: S-EPMC11903760 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature