Pancreatic anastomosis training models: current status and future directions

Kunal Sadanand Joshi, Daniel Espino, Duncan Shepherd, Nasim Mahmoodi, John Keith Roberts, Nikolaos Chatzizacharias, Ravi Marudanayagam, Robert P Sutcliffe*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Postoperative pancreatic fistula (POPF) is a major cause of morbidity and mortality after pancreatoduodenectomy (PD), and previous research has focused on patient-related risk factors and comparisons between anastomotic techniques. However, it is recognized that surgeon experience is an important factor in POPF outcomes, and that there is a significant learning curve for the pancreatic anastomosis. The aim of this study was to review the current literature on training models for the pancreatic anastomosis, and to explore areas for future research. It is concluded that research is needed to understand the mechanical properties of the human pancreas in an effort to develop a synthetic model that closely mimics its mechanical properties. Virtual reality (VR) is an attractive alternative to synthetic models for surgical training, and further work is needed to develop a VR pancreatic anastomosis training module that provides both high fidelity and haptic feedback.
Original languageEnglish
Pages (from-to)624-629
JournalPancreatology
Volume24
Issue number4
Early online date1 Apr 2024
DOIs
Publication statusPublished - 8 Jun 2024

Keywords

  • 3D printing
  • Learning curve
  • Pancreatoduodenectomy
  • Postoperative pancreatic fistula
  • Training models

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