The successful implementation of the Navio robotic technology required 29 cases

Robotic-assisted total knee arthroplasty (RA-TKA) has potential benefits of improved restoration of mechanical alignment, accuracy of bony resection, and balancing. The purpose of this study was to determine the number of cases necessary for a single surgeon to achieve a constant, steady-state surgical time. The secondary purpose was to identify which steps demonstrated the most time reduced. This was a prospective study assessing intraoperative time for 60 RA-TKA with the Navio surgical system. Overall arthroplasty time and duration for each step were recorded. Statistical analysis included a nonlinear regression and survival regression. Successful implementation required 29 cases to achieve a steady-state. The average time decreased from 41.8 min for the first cohort to 31.1 min for the last cohort, a 26% decrease. The step with the greatest reduction was the Review of Intraoperative Plan with a reduction of 2.1 min. This study demonstrates surgical times averaging below 60 min and a learning curve that is complete in 29 cases with the surgeon reporting a high level of confidence with the system at 10 cases. Though Navio assisted TKA showed a significantly slower operative time, we are hopeful that future generations of robotic technology will be more efficiently implemented by surgeons.

Automated summary

The study aimed to determine the number of cases needed for a surgeon to achieve a steady-state surgical time and identify steps with the most significant reduction in time. After 29 cases, the average surgical time decreased from 41.8 minutes to 31.1 minutes. Surgeons reported increased confidence in the system after completing 10 cases, indicating a learning curve completion.