Initial experience in colorectal robotic surgery in a university hospital: the first 100 consecutive cases using...

Area of Science:

• Minimally Invasive Surgery
• Surgical Robotics
• Colorectal Surgery

Background:

• The Hugo™ RAS platform offers a novel open-console, modular robotic system.
• Limited large-scale studies exist for its colorectal application.
• This study evaluates its implementation in a center new to robotic surgery.

Purpose of the Study:

• Assess the feasibility and safety of the Hugo™ RAS platform for colorectal surgery.
• Evaluate the learning curve associated with its implementation.
• Determine oncologic adequacy and complication rates.

Main Methods:

• Retrospective analysis of 100 consecutive colorectal resections using Hugo™ RAS.
• Data collected on operative time, blood loss, conversion rates, and complications (Clavien-Dindo).
• CUSUM analysis used to assess the learning curve.

Main Results:

• Zero conversions, 93% R0 resection rate, and median 20 lymph nodes harvested.
• Overall morbidity was 28%, with 5% major complications (Clavien-Dindo ≥ IIIb).
• Learning curve stabilized around 50 cases, with a decrease in minor complications over time.

Conclusions:

• The Hugo™ RAS platform facilitates safe and effective colorectal surgery.
• Oncologic outcomes meet established benchmarks.
• The platform is a valuable addition to minimally invasive colorectal surgery options.