Assessing the learning curve in robot-assisted intracorporeal colorectal anastomosis and transrectal extraction (NICE) procedure: from Initial Learning to Mastery.

Journal: Journal Of Robotic Surgery
Published:
Abstract

The robotic NICE procedure is a novel minimally invasive approach in colorectal surgery, yet its learning curve remains undefined; this study aimed to define its distinct phases by analyzing operative time trends. A retrospective review of 170 consecutive NICE procedures performed by a single surgeon between May 2018 and August 2019 was undertaken. Skin-to-skin operative time was the learning curve surrogate and plotted with unadjusted and risk-adjusted cumulative sum (CUSUM) analyses. Risk adjustment incorporated age, body mass index, ASA class, sex, prior abdominal surgery, diagnosis, anastomotic level, and the need for diverting loop ileostomy-used as a marker of case complexity rather than a direct time determinant. Phase-specific peri-operative outcomes were compared non-parametrically. Five proficiency phases were identified: Initial Learning (cases 1-10), Experienced (11-65), Second Learning (66-80), Advanced Experienced (81-124) and Mastery (125-170). The unadjusted CUSUM rose to + 342 min above the cohort mean by case 10, crossed the baseline at case 55, then gradually declined and plateaued at approximately -215 min by case 170. Risk-adjusted CUSUM displayed parallel inflection points (peak + 78 min, nadir -162 min), confirming that an easier case mix did not explain efficiency gains. Mean operative time fell from 248.8 ± 64.1 min in the first phase to approximately 185 min in Mastery, and inter-quartile variability narrowed from 125 to 59 min. Intraoperative complications (overall 12.4%), blood loss, organ/space surgical site infection, and 30-day morbidity did not differ across phases (p > 0.05). The robotic NICE procedure follows a five-phase learning curve, with true proficiency-and a 20% reduction in operative time-achieved after ~ 55 cases. Safety metrics remained similar across phases, confirming that efficiency gains reflect skill acquisition rather than easier case mix. These milestones can guide training for surgeons adopting the technique.

Authors
Jacques Bistre Varon, Muhammed Elhadi, Robert Wei, Jimena Alcocer Barrios, Ryan Gunter, Joshua Coursey, Priya Prakash, Erin Mcatee, Haley Lanser, Rachel Ellsworth, Matthew Weaver, Jean-paul Lefave, Eric Haas