Evaluating the learning curve of robot-assisted partial nephrectomy with the cumulative sum method

Area of Science:

• Urology
• Surgical Innovation
• Medical Education

Background:

• Robot-assisted partial nephrectomy (RAPN) is standard for small renal tumors, but learning curve evaluation is limited.
• The Trifecta criteria (negative margins, no complications, warm ischemia time ≤ 25 min) assess outcomes but not continuous proficiency.
• Objective assessment of the RAPN learning curve is crucial for surgical training and patient safety.

Purpose of the Study:

• To evaluate the robot-assisted partial nephrectomy (RAPN) learning curve using the cumulative sum (CUSUM) method.
• To assess proficiency based on Trifecta achievement and its individual components.
• To provide a tool for continuous, surgeon-specific learning curve assessment in RAPN.

Main Methods:

• Retrospective analysis of 119 RAPN cases performed by three experienced surgeons (2017-2022).
• Cumulative sum (CUSUM) charts were generated using Trifecta achievement rates and individual components.
• Analysis focused on identifying learning curve transitions and proficiency attainment.

Main Results:

• Distinct learning curve transitions were observed in one surgeon (Surgeon B) for complication rates (9th case) and overall Trifecta achievement (4th case).
• No clear learning curve transitions were identified for warm ischemia time, surgical margins, or in any component for the other two surgeons (A and C).
• Surgeons A and C may have already achieved proficiency before the study period.

Conclusions:

• The CUSUM method is a practical tool for visualizing and quantifying RAPN learning curves using clinically relevant criteria.
• CUSUM enables continuous, surgeon-specific assessment of proficiency in robot-assisted partial nephrectomy.
• Future research should incorporate additional metrics to enhance training programs and improve surgical outcomes.