Abstract Library

Welcome to the open-access search for all ENETS abstracts presented at the Annual ENETS Conferences.

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#3960 A combined nomogram to predict liver metastasis of pancreatic neuroendocrine tumors: Integrating deep learning radiomics and computational pathology

Introduction: Pancreatic neuroendocrine tumors (panNETs) are a diverse group of tumors, and liver metastasis is an important prognostic factor.

Conference:

Presenting Author: Huang D

Authors: Huang D, Tang W, Ma M, Liang Y,

Keywords: Pancreatic neuroendocrine tumor, Liver metastasis, Deep learning radiomics, Computational pathology, Nomogram,

#3851 68Ga-DOTATOC PET radiomics as a novel preoperative predictive tool for PanNETs aggressiveness

Introduction: The knowledge of Pancreatic Neuroendocrine Tumors (PanNETs) features of aggressiveness before surgery is fundamental for an appropriate treatment planning.

Conference:

Presenting Author:

Authors: Mapelli P, Bezzi C, Ghezzo S, Muffatti F, Andreasi V,

Keywords: 68Ga-DOTATOC, NET, PET, radiomics,

#3834 The prognostic role of radiomics in gastroenteropancreatic neuroendocrine tumors

Introduction: Gastroenteropancreatic neuroendocrine neoplasia (GEP NENs) are rare and heterogenous diseases.

Conference:

Presenting Author:

Authors: Magi L, Polici M, Rinzivillo M, Caruso D, Zerunian M,

Keywords: radiomics, neuroendocrine tumor, prognosis, disease progression,

#3528 Computerized tomography (CT)-based hepatic radiomics phenotypes associate with response to anti-angiogenics in neuroendocrine tumors (NETs): A subanalysis from the phase II TALENT clinical trial

Introduction: The phase II TALENT clinical trial provided evidence of the efficacy of Lenvatinib in patients with panNETs and giNETs. However, the role of radiomic predictive biomarkers of response to antiangiogenic drugs remain unknown.

Conference:

Presenting Author: Garcia Alvarez A

Authors: Garcia Alvarez A, Hernando J, Ligero M, Delgado E, Ibrahim T,

Keywords: Lenvatinib, Radiomics,

#3131 [68Ga]Ga-DOTANOC PET/CT & radiomics: Potential role in discriminating tumor grade in well-differentiated primary pancreatic neuroendocrine tumors

Introduction: The possibility to non-invasively assess the primary lesion tumor grade by PET/CT derived parameters is extremely appealing, potentially overcoming the limits of bioptical sampling.

Conference: 18th Annual ENETS Concerence (2021)

Presenting Author: Calabrò D

Authors: Calabrò D, Bevilacqua A, Malavasi S, Baiocco S, Ricci C,

Keywords: panNET, DOTANOC, PET/CT, radiomics,