Strickland, Michael A., Browne, Martin and Taylor, Mark
The effect of ligament variability on TKR performance – a probabilistic study
At 53rd Annual Meeting of the Orthopaedic Research Society, United States.
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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