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Evaluation of predicted knee function for component malrotation in total knee arthroplasty
Valentine Vanheule1, Hendrik Pieter Delport2, Michael Skipper Andersen3
1Biomechanics Section, Katholieke Universiteit Leuven, Celestijnenlaan 300C, 3001 Leuven, Belgium; Materialise N.V., Technologielaan 15, 3001 Leuven, Belgium.
Medical Engineering & Physics
|December 20, 2016
Summary
This study validates a computer model for total knee arthroplasty (TKA) by comparing its predictions of knee kinematics and ligament lengths to cadaveric experiments. The validated model accurately predicts subject-specific knee behavior after TKA, aiding implant alignment decisions.
Area of Science:
- Orthopedic surgery
- Biomechanical engineering
- Computational modeling
Background:
- Total knee arthroplasty (TKA) soft-tissue balancing is subjective and relies heavily on surgeon skill.
- Pre-operative planning with subject-specific computer models can guide TKA decisions.
- Validation of these predictive models is crucial for clinical application.
Purpose of the Study:
- To evaluate a knee modeling workflow by comparing experimental cadaveric measures with model-based kinematics and ligament length changes.
- To assess the accuracy of subject-specific knee models in predicting post-TKA biomechanics.
Main Methods:
- Subject-specific knee models were created from medical images of three cadavers.
- Implanted knees were tested on a mechanical rig simulating squatting.
- Kinematics and ligament lengths were measured using optical markers and extensometers.
- Coronal malrotation was simulated using angled tibial inserts.
Main Results:
- Model predictions showed strong agreement with experimental data across all alignment conditions.
- Root Mean Square Error (RMSE) for kinematics averaged <2.7mm (translations) and <2.3° (rotations).
- Average RMSE for all ligaments was below 2.5%.
Conclusions:
- The validated model quantitatively predicts subject-specific knee behavior after TKA.
- This computational approach allows for the evaluation of implant alignment effects on kinematics and ligament lengths.
- Future work will utilize the model to optimize subject-specific implant positioning based on ligament behavior.
