Learning curve for robotic-assisted laparoscopic rectal cancer surgery

Area of Science:

• Surgical Oncology
• Minimally Invasive Surgery
• Robotic Surgery

Background:

• Robotic-assisted surgery is crucial for mesorectal excision in rectal cancer patients.
• Understanding the learning curve is vital for surgeon proficiency and patient outcomes.

Purpose of the Study:

• To analyze the learning curve for robotic-assisted laparoscopic resection of rectal cancer.
• To identify distinct phases of skill acquisition in this surgical technique.

Main Methods:

• A retrospective analysis of 43 consecutive robotic-assisted rectal cancer resections.
• Cumulative Sum (CUSUM) methodology was used to analyze operative time and success rates.
• Key parameters included set-up time, operative time, complications, and conversion rates.

Main Results:

• The learning curve demonstrated three phases: initial learning (9-11 cases), plateau (12 cases), and mastery (20-22 cases).
• Significant reduction in docking time (p=0.000) and a slight increase in operative time (p=0.007) were observed in the mastery phase.
• The estimated learning curve for robotic-assisted rectal cancer surgery was achieved after 21-23 cases.

Conclusions:

• Robotic-assisted rectal cancer surgery learning involves three phases: learning, consolidation, and mastery.
• Proficiency in robotic-assisted rectal cancer surgery is estimated to be achieved around 21-23 cases.
• The CUSUM methodology effectively visualizes and quantifies the surgical learning curve.