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Encouraging treatment algorithm for computer-assisted navigated total knee arthroplasty (TKA): A retrospective cohort
J Cip1, M Widemschek1, C Bach1
1Department of Orthopedic Surgery, Academic Teaching Hospital Feldkirch, Medical University of Graz, Carinagasse 47, A-6800 Feldkirch, Austria.
Journal of Orthopaedics
|July 14, 2017
Summary
This study presents a new algorithm for total knee arthroplasty (TKA) in complex cases, achieving excellent surgical accuracy. The approach optimizes computer-assisted TKA for specific patient groups, improving outcomes.
Area of Science:
- Orthopedic Surgery
- Medical Technology
- Biomechanical Engineering
Background:
- Computer-assisted total knee arthroplasty (TKA) has shown mixed mid- to long-term results.
- Existing navigation systems for TKA are associated with higher costs, longer surgery times, and a learning curve.
Purpose of the Study:
- To introduce and evaluate a treatment algorithm that selectively uses computer-assisted TKA.
- To identify patient subgroups (e.g., severe obesity, leg deformities, implants, poor X-ray quality) benefiting from this algorithm.
Main Methods:
- A treatment algorithm was developed to guide the use of computer-assisted TKA.
- 237 primary unilateral TKAs were retrospectively analyzed based on this algorithm.
- Pre- and postoperative radiological assessments were conducted.
Main Results:
- The algorithm successfully allocated patients for computer-assisted TKA.
- 93.7% of the TKAs achieved alignment within 3° of the mechanical lower-limb axis.
- The mean absolute deviation from the ideal axis was 1.8° ± 1.3°.
Conclusions:
- The developed algorithm demonstrates excellent postoperative implantation accuracy.
- Accurate preoperative surgical planning is crucial for the success of this approach.
- This selective algorithm optimizes computer-assisted TKA for specific complex patient cases.
