Login / Signup

Preliminary study of a customised total knee implant with musculoskeletal and dynamic squatting simulation.

Linjie WangChang Jiang Wang
Published in: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine (2019)
Customised total knee replacement could be the future therapy for knee joint osteoarthritis. A preliminary design of a customised total knee implant based on knee anatomy was studied in this article. To evaluate its biomechanical performance, a dynamic finite element model based on the Oxford knee rig was created to simulate a squatting motion. Unlike previous research, this dynamic model was simulated with patient-specific muscle and joint loads that were calculated from an OpenSim musculoskeletal model. The dynamic response of the customised total knee implant was simulated under three cruciate ligament scenarios: both cruciate ligaments retained, only anterior cruciate ligament removed and both cruciate ligaments removed. In addition, an off-the-shelf symmetric total knee implant with retained cruciate ligaments was simulated for comparison analysis. The customised total knee implant with both cruciate ligaments retained showed larger ranges of femoral external rotation and posterior translation than the symmetric total knee implant. The motion of the customised total knee implant was also in good agreement with a healthy knee. There were no big differences in the tibiofemoral compressive forces in the customised total knee implant model under the three scenarios. These forces were generally consistent with other experimental and simulation results. However, the customised total knee implant design resulted in larger tibiofemoral compressive force than the symmetric total knee implant after 50° knee flexion, which was caused by the larger tibiofemoral relative motion.
Keyphrases
  • total knee arthroplasty
  • anterior cruciate ligament
  • knee osteoarthritis
  • anterior cruciate ligament reconstruction
  • soft tissue
  • rheumatoid arthritis
  • climate change
  • machine learning
  • data analysis