International Validation of a Nomogram to Predict Recurrence after Resection of Grade 1 and 2 Pancreatic Neuroendocrine Tumors


Introduction: A prediction model to predict recurrence within 5 years after surgery for nonfunctional pancreatic neuroendocrine tumors (PanNets) was recently published. This model includes WHO tumor grade, lymph node status and perineural invasion as predictors.

Aim(s): The aim of this study was to externally validate the prediction model in an international cohort.

Materials and methods: All patients who underwent any type of pancreatic resection for a nonfunctional WHO grade 1 or 2 PanNet without distant metastases at the time of surgery, between 1992-2018 at 7 tertiary centers, were included. Model performance was evaluated by validation plots, Hosmer-Lemeshow goodness of fit, Harrel’s C-statistic and area under the curve (AUC) of the receiver operating characteristics (ROC-) curve for 5-year recurrence-free survival (RFS). Validation followed the TRIPOD statement.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author:

Authors: Heidsma C, Van Dieren S, Gill A, Engelsman A, Strobel O,

Keywords: Prediction model, recurrence, pancreatic neuroendocrine,

To read the full abstract, please log into your ENETS Member account.