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Initial Experience with the NAVIO Robotic-Assisted Total Knee Replacement-Coronal Alignment Accuracy and the Learning
Kade Collins1, Paul A Agius2,3, Andrew Fraval1
1Department of Orthopaedics, Royal Hobart Hospital, Hobart, Tasmania, Australia.
The Journal of Knee Surgery
|January 29, 2021
Summary
Robotic-assisted surgery (RAS) accurately positions components in total knee arthroplasty (TKA), achieving desired coronal alignment in over 93% of cases. The study found no learning curve effect for this technology.
Area of Science:
- Orthopedic Surgery
- Robotics in Medicine
- Biomechanical Alignment
Background:
- Restoring the lower limb's mechanical axis is crucial for total knee arthroplasty (TKA) success.
- Maintaining coronal alignment within 3 degrees of neutral improves clinical outcomes and implant survival.
- Robotic-assisted surgery (RAS) systems offer potential for enhanced precision in component placement.
Purpose of the Study:
- To evaluate the efficacy of a robotic-assisted system for coronal plane component positioning in TKA.
- To assess the learning curve associated with adopting RAS technology for TKA.
Main Methods:
- A single surgeon performed 72 TKAs using an RAS system between November 2017 and September 2018.
- Preoperative and postoperative coronal weight-bearing alignments were measured.
- Intraoperative robotic registration data and procedure duration were collected to analyze the learning curve.
Main Results:
- 93.3% of TKAs achieved the target coronal alignment within 3 degrees of neutral.
- Preoperative deformity was significantly greater in cases not achieving neutral alignment.
- Analysis of RAS usage time did not reveal a learning curve effect for the surgeon.
Conclusions:
- The robotic-assisted system demonstrated high accuracy (>93%) in achieving neutral coronal alignment in TKA.
- The adoption of RAS technology for TKA showed no discernible learning curve effect.
- The RAS system is presented as an easily adopted, safe, and accurate tool for TKA component positioning.

