The learning curve of robotic pancreatoduodenectomy: a systematic review of learning curve assessment methodologies, proficiency thresholds, training pathways and clinical outcomes.
J Robot SurgOct 3, 2026 (epub)
Konstantinos Kossenas, Christoph Kuemmerli, Philip C Müller et al.
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In 30 seconds
This systematic review evaluated the learning curve of robotic pancreatoduodenectomy (RPD) across 42 studies, focusing on methodologies, proficiency thresholds, and outcomes. Initial competency was reached after 6-8 cases, while mastery required over 250 cases. Higher experience correlated with improved perioperative outcomes, including lower complication rates and stable oncologic results.
Key findings
- Initial competency in RPD is achieved after 6-8 cases.
- Proficiency in operative time is suggested after 20-40 cases.
- Mastery of RPD requires 250+ cases for consistent high-quality outcomes.
- Higher experience is linked to lower rates of major complications and improved oncologic outcomes.
Why it matters
Understanding the learning curve for RPD is crucial for surgical training and competency assessment. It informs the development of structured training pathways that can enhance surgical outcomes and patient safety.