Clinical Report: Learning Curve for Robotic Pancreaticoduodenectomy

Overview

This retrospective analysis examined prospectively recorded data from 120 consecutive robotic pancreaticoduodenectomies (RPDs) performed at a high-volume center between January 2023 and April 2026. CUSUM and risk-adjusted CUSUM methods were used to assess operative performance and postoperative safety, but the supplied article text does not report the resulting learning-curve phases or outcome estimates.

Background

Pancreaticoduodenectomy is technically demanding and is associated with substantial postoperative morbidity, including in high-volume centers. Robotic platforms offer three-dimensional visualization, tremor filtration, articulated instruments, and ergonomic advantages that may assist dissection and reconstruction. Published estimates of the RPD learning curve vary from approximately 20 to more than 90 cases, and many studies have focused primarily on operative time. The study therefore assessed performance and safety using CUSUM and risk-adjusted CUSUM analyses, alongside oncological adequacy.

Data Highlights

Key Findings

• The study included all consecutive patients undergoing RPD at the institution during the stated study period; benign and malignant periampullary diseases were eligible.
• Vascular resection was not an exclusion criterion, and cases requiring it remained in the analysis.
• One surgeon performed all operations using a standardized, fully robotic Whipple procedure.
• The robotic program was introduced through a structured pathway that included formal robotic training, observerships, and robotic distal pancreatectomy before RPD.
• The investigators applied CUSUM and risk-adjusted CUSUM to examine intraoperative performance, postoperative safety, and oncological adequacy over chronological case sequence.
• The supplied article excerpt does not provide the observed learning-curve thresholds, complication rates, operative outcomes, or oncological results.

Clinical Implications

The study design evaluates postoperative safety as well as operative performance, rather than relying on operative time alone. Its findings cannot be translated into a case-volume threshold or outcome-based practice conclusion from the supplied excerpt, which does not include the results.

Conclusion

This 120-case single-center study was designed to characterize RPD learning using CUSUM and risk-adjusted CUSUM in a structured, high-volume program. The available source material describes the methods and cohort but does not report the study’s results.

Related Resources & Content

1. Surgical Endoscopy, 2026 — Learning curve of robotic pancreaticoduodenectomy: a CUSUM and risk-adjusted CUSUM analysis of 120 consecutive cases
2. Evaluating the Learning Curves in Pancreatic Surgery Utilizing Minimally Invasive Techniques: A Comprehensive Review, 2022
3. Surgical Endoscopy, 2023 — CUSUM Learning Curves: Insights and Limitations in Performance Analysis
4. European Guidelines on Minimally Invasive Pancreatic Surgery, Annals of Surgery, 2024
5. Journal of Gastrointestinal Surgery — Evaluating the Learning Curve Associated with Robotic Right Hemicolectomy Techniques
6. Surgical Endoscopy — Assessment of Clinical Effectiveness and Learning Curve for 101 Robotic-Assisted Warshaw Procedures: A Retrospective Analysis
7. Learning curve of robotic pancreaticoduodenectomy: a CUSUM and risk-adjusted CUSUM analysis of 120 consecutive cases
8. European Guidelines on Minimally Invasive Pancreatic Surgery
9. Robotic versus Open Pancreatoduodenectomy (PORTAL): multicentre, single masked, phase 3, non-inferiority randomised controlled trial
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11. Robotic versus Open Pancreatoduodenectomy (PORTAL): multicentre, single masked, phase 3, non-inferiority randomised controlled trial | The BMJ
12. Learning curve of robotic pancreaticoduodenectomy: a CUSUM and risk-adjusted CUSUM analysis of 120 consecutive cases | Surgical Endoscopy | Springer Nature Link