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Switching robotic surgical systems does not impact surgical performance.

Mohamed R Ali¹, Jason J Rasmussen

¹Department of Surgery, University of California, Davis, Sacramento, California, USA. mohamed.ali@ucdmc.ucdavis.edu

Journal of Laparoendoscopic & Advanced Surgical Techniques. Part A

|February 13, 2008

Summary

Switching robotic systems for gastric bypass surgery had minimal impact on clinical outcomes. While setup times initially increased, operative times and patient outcomes remained stable, indicating adaptability in established robotic surgery programs.

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Area of Science:

Minimally Invasive Surgery
Surgical Technology
Gastrointestinal Surgery

Background:

Robotic surgery relies on technological advancements.
Evaluating the impact of new robotic systems on clinical outcomes is crucial.

Purpose of the Study:

To assess the clinical outcomes and operative parameters during a transition between two robotic surgical platforms (Zeus and da Vinci) for laparoscopic Roux-en-Y gastric bypass (LRYGB).

Main Methods:

A retrospective review of 140 robotic-assisted LRYGB procedures (80 Zeus, 60 da Vinci).
Data collected included robotic setup time, operative time, and total operative time.
Patient demographics and clinical outcomes were compared between the two robotic systems.

Main Results:

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Patients undergoing da Vinci LRYGB had a statistically lower body mass index compared to Zeus LRYGB.
Initial setup time increased with the da Vinci system but decreased significantly after 10 cases.
Total operative time temporarily increased but subsequently decreased significantly with the da Vinci system.
No significant difference in robotic operative time was observed after the platform change.
Two intraoperative gastrojejunostomy leaks occurred (one with each system), with no anastomotic strictures or mortalities.

Conclusions:

Transitioning between robotic platforms in an established robotic surgery program has a minimal impact on clinical efficacy.
Any initial decrease in performance is short-lived and does not significantly affect patient outcomes.