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Updated: Nov 8, 2025

Robotic Pancreatoduodenectomy for Pancreatic Head Cancer: a Case Report of a Standardized Technique
Published on: June 24, 2022
Mitigation of the Robotic Pancreaticoduodenectomy Learning Curve through comprehensive training
Da Y Ryoo1, Mariam F Eskander1, Ahmad Hamad1
1The Ohio State University, Columbus, OH, USA.
Background:
There is an associated lag in achieving competency for robotic pancreaticoduodenectomy (PD), resulting in a learning curve. We hypothesize that the reported learning curve can be mitigated through a comprehensive graduated training protocol.
Methods:
All patients (n = 237) who underwent an open (n = 197, 83.1%) or robotic (n = 40, 16.9%) PD between 2015-2019 were identified at The Ohio State University. The learning curve for operative time and surgical failure (defined as conversion to open, blood transfusion, or Clavien-Dindo complication grade ≥3) was analyzed using a risk adjusted cumulative summation technique.
Results:
After 10 cases, operative time plateaued to a mean of 468.3 ± 96.3 minutes for robotic PD versus a mean of 332.5 ± 103.9 minutes for open PD (P < 0.001). There was no further apparent learning curve over time relative to rates of operative time or surgical failure. After propensity score-matching, patients undergoing robotic PD had a similar incidence of major complications, grade B/C postoperative pancreatic fistula, and delayed gastric emptying versus patients undergoing open PD (all P > 0.05).
Conclusion:
Completion of a comprehensive procedure-specific robotic training protocol for PD mitigated the learning curve for this operative approach by shifting the curve into the training/simulation phase rather than the live operating phase. These data hold important implications for the future training and accreditation of surgeons embarking on robotic PD.

