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The effect of ligament variability on TKR performance – a probabilistic study

The effect of ligament variability on TKR performance – a probabilistic study
The effect of ligament variability on TKR performance – a probabilistic study
Introduction: The continuing drive to improve the performance of total knee replacement (TKR) has led to the development of many experimental and computational simulations to predict implant performance. Historically, these have been deterministic models, or else parametric studies focusing on a minimal number of variables. Improvements in computational capabilities now enable more extensive probabilistic studies, modeling a wide range of factors in conjunction. This makes it possible to identify complex inter-relationships between factors, which otherwise might not have been detected. This study develops the approach of Laz et al (2006), extending the scope to include factors within a simplified ligament restraint model. Results from such probabilistic studies can be used to predict performance envelopes, and sensitivity results can identify factors that contribute most to variability in kinematics & pressures, and hence failure mechanisms.
Strickland, Michael A.
6b639de6-cb09-4383-bf06-576eb6aef448
Browne, Martin
6578cc37-7bd6-43b9-ae5c-77ccb7726397
Taylor, Mark
e368bda3-6ca5-4178-80e9-41a689badeeb
Strickland, Michael A.
6b639de6-cb09-4383-bf06-576eb6aef448
Browne, Martin
6578cc37-7bd6-43b9-ae5c-77ccb7726397
Taylor, Mark
e368bda3-6ca5-4178-80e9-41a689badeeb

Strickland, Michael A., Browne, Martin and Taylor, Mark (2007) The effect of ligament variability on TKR performance – a probabilistic study. 53rd Annual Meeting of the Orthopaedic Research Society, , San Diego, United States. 11 - 14 Feb 2007.

Record type: Conference or Workshop Item (Paper)

Abstract

Introduction: The continuing drive to improve the performance of total knee replacement (TKR) has led to the development of many experimental and computational simulations to predict implant performance. Historically, these have been deterministic models, or else parametric studies focusing on a minimal number of variables. Improvements in computational capabilities now enable more extensive probabilistic studies, modeling a wide range of factors in conjunction. This makes it possible to identify complex inter-relationships between factors, which otherwise might not have been detected. This study develops the approach of Laz et al (2006), extending the scope to include factors within a simplified ligament restraint model. Results from such probabilistic studies can be used to predict performance envelopes, and sensitivity results can identify factors that contribute most to variability in kinematics & pressures, and hence failure mechanisms.

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More information

Published date: 2007
Venue - Dates: 53rd Annual Meeting of the Orthopaedic Research Society, , San Diego, United States, 2007-02-11 - 2007-02-14
Organisations: Bioengineering Group

Identifiers

Local EPrints ID: 202751
URI: http://eprints.soton.ac.uk/id/eprint/202751
PURE UUID: 90b38d3a-b249-4f78-b54c-30518dd33ac3
ORCID for Martin Browne: ORCID iD orcid.org/0000-0001-5184-050X

Catalogue record

Date deposited: 09 Nov 2011 16:30
Last modified: 15 Mar 2024 02:50

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Contributors

Author: Michael A. Strickland
Author: Martin Browne ORCID iD
Author: Mark Taylor

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