Abstract Library

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

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ENETS Abstract Search

#3857 The use of quantitative contrast-enhanced endoscopic ultrasound in the evaluation of pancreatic neuroendocrine tumors – Can we move from quality to quantity? A proof-of-concept study

Introduction: Contrast-enhanced EUS (CE-EUS) is a helpful tool for the diagnosis of pancreatic focal lesions, as pancreatic cancer (PC) and pancreatic neuroendocrine tumor (pNEN). The enhancement of the lesion after contrast medium injection is usually assessed qualitatively and arbitrarily by the endosonographer. Dedicated software has recently been developed to obtain an unbiased quantitative assessment using perfusion parameters.

Conference:

Presenting Author: Tacelli M

Authors: Tacelli M, Bina N, Capurso G, Zaccari P, Petrone M,

Keywords: CE-EUS, pNEN, artificial intelligence, pancreatic cancer, prediction,

#2852 Diagnostic Accuracy of Endoscopic Ultrasound-Fine Needle Aspiration (EUS-FNA) in the Evaluation of Pancreatic Neuroendocrine Neoplasms (PNEN) Grading

Introduction: Prognosis of pNENs depends on staging and grading, based on the cyto-histological Ki67 labelling; EUS-FNA is considered the gold standard technique to obtain it in pre-therapeutic setting

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Tacelli M

Authors: Tacelli M, Petrone M, Capurso G, Rossi G, Archibugi L,

Keywords: Pancreatic neuroendocrine neoplasms, Grading, EUS-FNA, Endoscopic ultrasound-Fine Needle Aspiration, Ki-67, WHO, misclassification,

#1639 Endoscopic Ultrasound Appearance of Pancreatic Serotonin-Staining Neuroendocrine Neoplasms: A Case Series

Introduction: The pancreatic localization of serotonin-staining neuroendocrine neoplasms (serotoninomas) is extremely rare. Less than 350 cases have been reported in the world literature.

Conference: 14th Annual ENETSConcerence (2017)

Presenting Author: Massironi S

Authors: Massironi S, Partelli S, Petrone M, Conte D, Falconi M,

Keywords: pNEN,