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Augmented Reality Navigation Can Achieve Accurate Coronal Component Alignment During Total Knee Arthroplasty.
Kyle M Bennett1, Andrew Griffith1, Francesca Sasanelli1
1Department of Orthopaedic Surgery, Western Health, Melbourne, AUS.
Cureus
|March 8, 2023
Summary
Augmented reality navigation in total knee arthroplasty demonstrates accuracy in coronal alignment but shows some sagittal outliers. This technology offers consistent results from the start, with operative times improving over time.
Area of Science:
- Orthopedic Surgery
- Surgical Navigation
- Medical Technology
Background:
- Computer-assisted orthopedic surgery enhances accuracy in knee arthroplasty.
- Augmented reality (AR) represents the next advancement in computer navigation for total knee arthroplasty (TKA).
- The precision of AR navigation in TKA has not been previously established.
Purpose of the Study:
- To evaluate the accuracy of an augmented reality-assisted navigation system (ARAN) for total knee arthroplasty.
- To assess the coronal and sagittal alignment of bone cuts and component placement using ARAN.
- To identify potential outliers and learning curve effects associated with ARAN implementation.
Main Methods:
- A prospective study of 20 patients undergoing TKA using ARAN between April and October 2021.
- Measurement of femoral and tibial bone cut alignment in coronal and sagittal planes using ARAN.
- Postoperative CT scans were used to verify final component positioning and calculate accuracy.
Main Results:
- 18 cases were analyzed after excluding 2 due to segmentation errors.
- Mean absolute errors for ARAN alignment were: femoral coronal 1.4°, femoral sagittal 2.0°, tibial coronal 1.1°, and tibial sagittal 1.6°.
- No coronal outliers (>3°) were found; however, sagittal outliers were noted for tibial slope and femoral extension, with operative time decreasing significantly over the series.
Conclusions:
- Augmented reality navigation provides accurate alignment in TKA, with a low rate of coronal plane malposition.
- Consistent accuracy is achievable early in the adoption of ARAN, though sagittal outliers indicate areas for improvement.
- A learning curve exists for operative time, suggesting potential for efficiency gains with experience.

