The contribution of functional imaging in predicting the risk of recurrence after pancreatic surgery for neuroendocrine tumors

#3984

Introduction: Pancreatic neuroendocrine tumors (pNETs) are rare and heterogeneous, comprising 1 to 3% of all pancreatic neoplasms. The recurrence rate of non-metastatic pNETs varies, reaching up to 50% depending on the series, highlighting the difficulty in selecting candidates for surgery. However, there is no published data regarding the prognostic value of functional PET imaging combined with clinical and pathological characteristics.

Aim(s): The aim of our study was to evaluate the prognostic value of pre-operative 68Ga-DOTATOC parameters and combine them with other prognostic factors to create nomograms predicting the recurrence of pNETs.

Materials and methods: Between 2010 and 2022, 157 patients who underwent surgery for non-metastatic pNETs in 7 different hospitals, with at least an available baseline PET-68Ga-DOTATOC, were retrospectively included. A multivariate model was performed to obtain prognostic factors, leading to the creation of predictive nomograms that included both pathologic and radiologic items.

Conference:

Presenting Author:

Authors: Pencréac'h S, de Mestier L, Fuks D, Paye F, de Ponthaud C,

Keywords: pNET, PET-68Ga-DOTATOC, recurrence, pancreatic surgery,