(Periklis Tzanetis, PhD Candidate, University of Twente, Netherlands, 05. May, 2021 )
Total knee arthroplasty is an effective surgical intervention for end-stage knee osteoarthritis, aiming to relieve the pain and restore the normal knee joint function. One of the surgical choices in total knee arthroplasty is the thickness of the tibial insert, the optimal selection of which is important to ensure soft-tissue balance and restore the physiological function in the tibiofemoral joint, thus, reducing the risk of implant-related complications. Computational models of the musculoskeletal system can be a valuable input into the intraoperative decision-making procedure. Personalized musculoskeletal knee models can predict variations in the knee joint loads and kinematics due to changes in implant design or provide quantitative patient-specific information in terms of the mechanical behavior of the knee joint structures, and therefore, can aid orthopedic surgeons to formulate an optimal treatment plan tailored to the individual patient.
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