(Daniele De Massari, Data Science Manager, Stryker & Periklis Tzanetis, PhD Candidate, University of Twente, 27. October, 2022 )
The future of personalized orthopedics: Kinematic modeling to restore the premorbid knee functionality through robotic-assisted TKA
Implant positioning in total knee arthroplasty (TKA) is critical in restoring the functionality of the end-stage osteoarthritic knee joint. Robotic-assisted TKA (RA-TKA) can precisely perform bone resections and position the components as defined preoperatively in the surgical plan based on a 3D CT scan. However, the question becomes what the optimal position of the components should be in order to achieve restoration of the premorbid knee joint state. Musculoskeletal modeling could guide the formulation of an optimized surgical plan tailored to the patient-specific knee morphology and kinematics before entering the operating room for the robotic-assisted surgical plan execution. In this webcast, Daniele De Massari, Data Science Manager at Stryker, and Periklis Tzanetis, PhD Candidate at the University of Twente, the Netherlands, will jointly talk about the challenge of defining the surgical target in RA-TKA, and discuss how 3D medical imaging combined with kinematic musculoskeletal model-based implant optimization could benefit the treatment planning for orthopaedic patients.
Playback (76.9 MB)YouTube