Evaluation of predicted knee function for component malrotation in total knee arthroplasty. (February 2017)

• Record Type: Journal Article
• Authors: Vanheule, Valentine; Delport, Hendrik Pieter; Andersen, Michael Skipper; Scheys, Lennart; Wirix-Speetjens, Roel; Jonkers, Ilse; Victor, Jan; Vander Sloten, Jos
• Is Part Of: Medical engineering & physics. Volume 40(2017)
• Page Start: 56
• Page End: 64
• Publication Date: 2017-02
• Subjects: Subject-specific -- Alignment -- Soft tissue balancing -- Kinematic knee rig -- In vitro; Biomedical engineering -- Periodicals; Biomedical Engineering -- Periodicals; Physics -- Periodicals; Génie biomédical -- Périodiques; Biomedical engineering; Electronic journals; Periodicals; 610.28
• DOI: 10.1016/j.medengphy.2016.12.001
• Languages: English
• ISSNs: 1350-4533

Abstract

Highlights: Multi-body model quantitatively predicted subject-specific knee behaviour after TKA. Experimental testing of impact of TKA malrotation on ligament lengths and motion. Presented model could distinguish effect of TKA malrotation on knee behaviour. Abstract: Soft-tissue balancing for total knee arthroplasty (TKA) remains subjective and highly dependent on surgical expertise. Pre-operative planning may support the clinician in taking decisions by integrating subject-specific computer models that predict functional outcome. However, validation of these models is essential before they can be applied in clinical practice. The aim of this study was to evaluate a knee modelling workflow by comparing experimental cadaveric measures to model-based kinematics and ligament length changes. Subject-specific models for three cadaveric knees were constructed from medical images. The implanted knees were mounted onto a mechanical rig to perform squatting, measuring kinematics and ligament length changes with optical markers and extensometers. Coronal malrotation was introduced using tibial inserts with a built-in slope. The model output agreed well with the experiment in all alignment conditions. Kinematic behaviour showed an average RMSE of less than 2.7 mm and 2.3° for translations and rotations. The average RMSE was below 2.5% for all ligaments. These results show that the presented model can quantitatively predict subject-specific knee behaviour following TKA, allowing evaluation of implant alignment in terms of kinematics and ligament length changes. In future work, the model will be used to evaluate subject-specific implant position based on ligament behaviour.