首页|Urological Research Institute Reports Findings in Robotics (Learning Curve for S ingle-port Robot-assisted Urological Surgery: Singlecenter Experience and Impli cations for Adoption)
Urological Research Institute Reports Findings in Robotics (Learning Curve for S ingle-port Robot-assisted Urological Surgery: Singlecenter Experience and Impli cations for Adoption)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting originating from Milan, Italy, by New sRx correspondents, research stated, "Understanding the learning curve for the d a Vinci single-port (SP) surgical robot is crucial for adoption, training, and e nhancement of surgical safety and efficiency. Our aim was to assess the impact o f both overall experience (O-EXP) and procedure-specific experience (PS-EXP) on perioperative outcomes across various SP surgeries." Our news editors obtained a quote from the research from Urological Research Ins titute, "We analyzed data for 387 consecutive SP surgeries conducted by a high-v olume surgeon from December 2018 to July 2023. These included SP robot-assisted radical prostatectomy (SP-RARP), robot-assisted simple prostatectomy (SP-RASP), and robot-assisted nephrectomy (SP-RANP). We used multivariable logistic regress ion to evaluate the relationship between surgeon experience and outcomes, and lo cally weighted scatterplot smoothing analysis to graphically explore the risk of postoperative complications according to O-EXP. The 387 SP procedures assessed included 172 (44%) SP-RARP, 53 (14%) SP-RASP, and 162 (42 %) SP-RANP cases. Overall, 17% of patients had a c omplication of any grade, 6% experienced severe complications (Cla vien-Dindo grade 3), and 8% required readmission. Both O-EXP and P S-EXP were associated with a lower risk of complications. The odds ratios for th e incidence of complications per increment of 10 procedures were 0.83 (95% confidence interval [CI] 0.76-0.89) for PS -EXP and 0.93 (95% CI 0.90-0.96) for O-EXP. PS-EXP was also associ ated with a shorter operative time (b = -3.9, 95% CI -4.9 to -2.9) . The risk of complications reached a minimum at 30 SP-RASP, 70 SP-RANP, and 150 SP-RARP cases. Our study is limited by its retrospective design, single-surgeon experience, and lack of functional outcome assessment. Robot-assisted surgery w ith the da Vinci SP robot has a distinctive learning curve that is influenced by the platform and procedure-specific characteristics. For surgeons new to SP sur gery, RASP and renal procedures had the earliest learning curve success and shou ld be approached first, with RARP attempted only when the surgeon has become acc ustomed to the SP platform. We investigated the learning curve for a surgical ro bot that uses just one keyhole incision. We found that the time to reach profici ency for urological surgeries with this specific robot, measured as the rate of complications, is faster for some procedures than for more complex operations."
MilanItalyEuropeEmerging Technolog iesHealth and MedicineMachine LearningRisk and PreventionRobotRoboticsSurgery
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