Abstract
Previous in vivo studies have observed that current designs of posterior stabilised (PS) total knee replacements (TKRs) may be ineffective in restoring normal kinematics in Late flexion. Computer-based models can prove a useful tool in improving PS knee replacement designs. This study investigates the accuracy of a two-dimensional (2D) sagittal plane model capable of predicting the functional sagittal plane kinematics of PS TKR implanted knees against direct in vivo measurement. Implant constraints are often used as determinants of anterior-posterior tibio-femoral positioning. This allowed the use of a patello-femoral modelling approach to determine the effect of implant constraints. The model was executed using motion simulation software which uses the constraint force algorithm to achieve a solution. A group of 10 patients implanted with Scorpio PS implants were recruited and underwent fluoroscopic imaging of their knees. The fluoroscopic images were used to determine relative implant orientation using a three-dimensional reconstruction method. The determined relative tibio-femoral orientations were then input to the model. The model calculated the patella tendon angles (PTAs) which were then compared with those measured from the in vivo fluoroscopic images. There were no significant differences between the measured and calculated PTAs. The average root mean square error between measured and modelled ranged from 1.17° to 2.10° over the flexion range. A sagittal plane patello-femoral model could conceivably be used to predict the functional 2D kinematics of an implanted knee joint. This may prove particularly useful in optimising PS designs.
Original language | English |
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Pages (from-to) | 1191-1199 |
Number of pages | 9 |
Journal | Computer Methods in Biomechanics and Biomedical Engineering |
Volume | 18 |
Issue number | 11 |
Early online date | 24 Feb 2014 |
DOIs | |
Publication status | Published - 2015 |
Keywords
- arthroplasty
- kinematics
- knee
- modelling
- TKA
- TKR
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Richie Gill
- Department of Mechanical Engineering - Professor
- Centre for Therapeutic Innovation
- Centre for Bioengineering & Biomedical Technologies (CBio)
- Bath Institute for the Augmented Human
Person: Research & Teaching, Core staff