Experience with computer-assisted navigation for total knee arthroplasty in a community setting

Area of Science:

• Orthopedic Surgery
• Medical Technology
• Biomechanical Engineering

Background:

• Total knee arthroplasty (TKA) is a common procedure to address knee joint degeneration.
• Achieving optimal component alignment in TKA is crucial for long-term implant survival and patient function.
• Traditional TKA relies on surgeon's skill and conventional instrumentation for alignment.

Purpose of the Study:

• To evaluate the initial clinical experience with computer-assisted navigation in TKA.
• To compare the accuracy of component alignment between navigated and conventional TKA.
• To assess the learning curve and time efficiency of using navigation in TKA.

Main Methods:

• A comparative study involving 100 TKAs using computer-assisted navigation and 100 TKAs using conventional methods.
• Component alignment (sagittal, coronal, axial) was quantitatively assessed using computed tomography (CT).
• Alignment results were categorized into good, fair, poor, and extremely poor based on deviation from surgical goals.

Main Results:

• Navigated TKA demonstrated a higher proportion of 'good' alignment in sagittal (78%-93% vs. 47%-64%) and axial (78%-85% vs. 89%-90%) planes compared to conventional TKA.
• Coronal alignment was comparable between navigated (98%) and conventional (91%) TKA.
• Navigation significantly reduced the number and severity of outlier alignments, with reduced additional time required as experience grew.

Conclusions:

• Computer-assisted navigation enhances component alignment accuracy in TKA.
• Navigation is a valuable tool for community surgeons performing TKA, offering improved outcomes.
• The learning curve for navigation is manageable, with benefits in alignment achieved early in the experience.