8741 Versius®, a Revolutionary Robotic Platform - First Endometriosis Surgical Trials in Brazil

Abstract

<h3>Study Objective</h3> This study aims to assess a gynecological surgical team's early outcomes with the new Versius® platform in terms of safety and efficiency in minimally invasive gynecological operations. <h3>Design</h3> A prospective study that followed for 10 days endometriosis surgeries performed by the new robotic Versius® platform. <h3>Setting</h3> An operation room with space foi the surgeon console and of all base system units. All patients were positioned in the same way in dorsal decubitus. The trocar punctures followed the same techniques for the 4 robot arms. <h3>Patients or Participants</h3> 10 women with deep endometriosis. <h3>Interventions</h3> the first 10 cases of gynecological surgeries in the Americas using the platform Versius, performed by the same team in a private hospital in Sao Paulo, Brazil. <h3>Measurements and Main Results</h3> Ten robotic gynecological surgeries were conducted to treat endometriosis in individuals with an average age of 42 years and a BMI of 25.3. Six of the patients had severe endometriosis with an AAGL IV classification, whereas the other four had an AAGL II classification. Two of the instances were linked to hysterectomy, while one was linked to myomectomy. The average docking time was 24.7 minutes, while the average procedure duration was 93.7 minutes, and all procedures were without complications. Nine of the ten patients were discharged within 24 hours after the operation, and one was discharged within 48 hours. Collisions between the surgical arms were noticed throughout procedures, necessitating changes to the placement of the units or further "port-training" to establish a better fit and avoid collisions. All patients had the same standardization of trocar placement for the highest efficiency and best cosmetic result (pictures below). <h3>Conclusion</h3> CMR's Versius® system and the treatment of deep endometriosis surgery are encouraging, but additional cases should be monitored to measure learning curve time and improvements in the positioning of units to avoid collisions.