Individualized alignment in total knee arthroplasty using image-based robotic assistance : Video article.

Area of Science:

• Orthopedic Surgery
• Medical Robotics
• Biomechanical Engineering

Background:

• Despite innovations in total knee arthroplasty (TKA), patient dissatisfaction remains high.
• Current TKA technologies face limitations in achieving optimal anatomical alignment.
• Improved patient outcomes are linked to better anatomical alignment in TKA.

Purpose of the Study:

• To describe a technique for individualized alignment in TKA using image-based robotic assistance.
• To demonstrate the application of kinematic alignment principles in TKA.
• To present a novel approach for achieving precise prosthesis positioning.

Main Methods:

• Utilizing patient-specific knee models derived from CT scans for preoperative planning.
• Employing image-based robotic assistance for intraoperative guidance.
• Adapting prosthesis positioning based on real-time soft tissue envelope recording and predicted gap balance.

Main Results:

• Achieved individualized alignment with reduced soft tissue release through anatomically oriented prosthesis positioning.
• Robotic assistance ensured precise implementation of the preoperative surgical plan.
• Initial short-term follow-up data indicate promising patient outcomes.

Conclusions:

• Individualized alignment in TKA, facilitated by robotic assistance, offers a precise and effective surgical approach.
• This technique potentially enhances patient outcomes by optimizing implant positioning and minimizing soft tissue manipulation.
• Further investigation into long-term outcomes is warranted.