Could passive knee laxity be related to active gait mechanics? An exploratory computational biomechanical study using probabilistic methods
Could passive knee laxity be related to active gait mechanics? An exploratory computational biomechanical study using probabilistic methods
Improving total knee replacement (TKR) requires better understanding of the many factors influencing clinical outcomes. Recently, probabilistic studies have investigated the influence of variability for individual TKR activities. This study demonstrates conceptually how probabilistic studies might further provide a framework to explore relationships not just within but between multiple different activities, e.g. intra-operative passive laxity drawer loading and post-operative active gait. Two implants were compared using simulated ISO-gait and passive laxity loading, with factors including mal-positioning and soft-tissue constraint varied using Monte-Carlo analysis. The results illustrate that correlations between different activities can be quantified; this demonstration study suggests further research is justified (with detailed clinically representative models) to explore the relationship between passive and active mechanics for specific in vivo conditions. Probabilistics is a key enabling methodology for achieving this goal. In future, exploring correlations between different activities may facilitate a better holistic understanding of TKR function.
knee biomechanics, computational wear modelling, probabilistic methods
709-720
Strickland, Michael A.
6b639de6-cb09-4383-bf06-576eb6aef448
Browne, Martin
6578cc37-7bd6-43b9-ae5c-77ccb7726397
Taylor, Mark
e368bda3-6ca5-4178-80e9-41a689badeeb
December 2009
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
(2009)
Could passive knee laxity be related to active gait mechanics? An exploratory computational biomechanical study using probabilistic methods.
Computer Methods in Biomechanics and Biomedical Engineering, 12 (6), .
(doi:10.1080/10255840902895994).
(PMID:19418316)
Abstract
Improving total knee replacement (TKR) requires better understanding of the many factors influencing clinical outcomes. Recently, probabilistic studies have investigated the influence of variability for individual TKR activities. This study demonstrates conceptually how probabilistic studies might further provide a framework to explore relationships not just within but between multiple different activities, e.g. intra-operative passive laxity drawer loading and post-operative active gait. Two implants were compared using simulated ISO-gait and passive laxity loading, with factors including mal-positioning and soft-tissue constraint varied using Monte-Carlo analysis. The results illustrate that correlations between different activities can be quantified; this demonstration study suggests further research is justified (with detailed clinically representative models) to explore the relationship between passive and active mechanics for specific in vivo conditions. Probabilistics is a key enabling methodology for achieving this goal. In future, exploring correlations between different activities may facilitate a better holistic understanding of TKR function.
Text
manu_pre_review.pdf
- Author's Original
More information
Submitted date: 24 July 2008
e-pub ahead of print date: 6 May 2009
Published date: December 2009
Keywords:
knee biomechanics, computational wear modelling, probabilistic methods
Organisations:
Bioengineering Group, Bioengineering Sciences
Identifiers
Local EPrints ID: 71601
URI: http://eprints.soton.ac.uk/id/eprint/71601
ISSN: 1025-5842
PURE UUID: 79a85adb-7a77-480f-9f26-e623139d8abf
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Date deposited: 16 Dec 2009
Last modified: 14 Mar 2024 02:39
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Author:
Michael A. Strickland
Author:
Mark Taylor
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