Literature DB >> 23764172

A large scale finite element study of a cementless osseointegrated tibial tray.

Francis Galloway1, Max Kahnt, Heiko Ramm, Peter Worsley, Stefan Zachow, Prasanth Nair, Mark Taylor.   

Abstract

The aim of this study was to investigate the performance of a cementless osseointegrated tibial tray (P.F.C. ® Sigma®, Depuy® Inc, USA) in a general population using finite element (FE) analysis. Computational testing of total knee replacements (TKRs) typically only use a model of a single patient and assume the results can be extrapolated to the general population. In this study, two statistical models (SMs) were used; one of the shape and elastic modulus of the tibia, and one of the tibiofemoral joint loads over a gait cycle, to generate a population of FE models. A method was developed to automatically size, position and implant the tibial tray in each tibia, and 328 models were successfully implanted and analysed. The peak strain in the bone of the resected surface was examined and the percentage surface area of bone above yield strain (PSAY) was used to determine the risk of failure of a model. Using an arbitrary threshold of 10% PSAY, the models were divided into two groups ('higher risk' and 'lower risk') in order to explore factors that may influence potential failure. In this study, 17% of models were in the 'higher risk' group and it was found that these models had a lower elastic modulus (mean 275.7MPa), a higher weight (mean 85.3kg), and larger peak loads, of which the axial force was the most significant. This study showed the mean peak strain of the resected surface and PSAY were not significantly different between implant sizes.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Automated implantation; Cementless fixation; Finite element modelling; Population based study; Total knee replacement

Mesh:

Year:  2013        PMID: 23764172     DOI: 10.1016/j.jbiomech.2013.04.021

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  7 in total

1.  Analysis of different bicruciate-retaining tibial prosthesis design using a three dimension finite element model.

Authors:  Peiheng He; Xing Li; Shuai Huang; Minghao Liu; Weizhi Chen; Dongliang Xu
Journal:  Am J Transl Res       Date:  2017-05-15       Impact factor: 4.060

2.  Uncertain-DeepSSM: From Images to Probabilistic Shape Models.

Authors:  Jadie Adams; Riddhish Bhalodia; Shireen Elhabian
Journal:  Shape Med Imaging (2020)       Date:  2020-10-03

3.  Mechanical micromodeling of stress-shielding at the bone-implant interphase under shear loading.

Authors:  Yoann Hériveaux; Sophie Le Cann; Manon Fraulob; Elsa Vennat; Vu-Hieu Nguyen; Guillaume Haïat
Journal:  Med Biol Eng Comput       Date:  2022-09-28       Impact factor: 3.079

4.  The risk of tibial eminence avulsion fracture with bi-unicondylar knee arthroplasty : a finite element analysis.

Authors:  Jennifer C Stoddart; Amy Garner; Mahmut Tuncer; Justin P Cobb; Richard J van Arkel
Journal:  Bone Joint Res       Date:  2022-08       Impact factor: 4.410

5.  Cranial reconstruction evaluation - comparison of European statistical shape model performance on Chinese dataset.

Authors:  Marc Anton Fuessinger; Marc Christian Metzger; Rene Rothweiler; Leonard Simon Brandenburg; Stefan Schlager
Journal:  Bone Rep       Date:  2022-08-13

Review 6.  Finite element modelling for footwear design and evaluation: A systematic scoping review.

Authors:  Yang Song; Enze Shao; István Bíró; Julien Steven Baker; Yaodong Gu
Journal:  Heliyon       Date:  2022-10-05

7.  Human osteoblasts obtained from distinct periarticular sites demonstrate differences in biological function in vitro.

Authors:  Erden Ali; Mark Birch; Niina Hopper; Neil Rushton; Andrew W McCaskie; Roger A Brooks
Journal:  Bone Joint Res       Date:  2021-09       Impact factor: 5.853

  7 in total

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