Abstract Library

#3079 Novel Symptoms and Therapy of Multiple Endocrine Neoplasia Type 1

Introduction: MEN1 is a rare autosomal inherited disease with hallmark of hyperparathyroidism, duodenopancreatic NENs and pituitary tumor.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: bai J

Authors: Bai J, Tang Q,

Keywords: MEN1, LGCS, NENs, gastrinoma, Parathyroid carcinoma,

#3036 Can Ki-67 with 5.5% Be Better in Predicting Prognosis for Well Differentiated Pancreatic Neuroendocrine Tumors?

Introduction: Pancreatic neuroendocrine tumors (NETs) are rare malignancies, Ki-67 is a cell proliferation marker that has been shown to have some utility in predicting prognosis of neuroendocrine tumors. However, the ideal grading method for G1/G2 remains controversial.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Tan H

Authors: Yuan B, Chen Y, Zhang P, Wang X, Tan H,

Keywords: Pancreatic net, G1, G2, Ki-67, overall survival time,

#2981 The Distance from Pathology to Molecular Imaging: SSTR Expression Comparison in 100 Gastroenteropancreatic Neuroendocrine Neoplasms

Introduction: Somatostatin receptor (SSTR) overexpression is a unique feature of gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs), which establish the basis for both diagnosis and therapy. SSTR status can be evaluated by immunohistochemical staining (IHC) and 68Ga-DOTATATE PET/CT.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author: Yu J

Authors: Yu J, Cao F, Yang Z, Sun Y,

Keywords: GEP-NEN, SSTR, PET/CT, IHC,

#2951 Analysis of Discordance between Biopsy Grade and Surgical Pathology Grade in Resected PanNEN Patients

Introduction: In PanNEN cases, treatment strategies are decided by tumor localization, volume and grade. In unresectable or metastatic cases, tumor grade is determined by biopsy specimen obtained from EUS-FNA and diagnostic accuracy of biopsy according to WHO classification 2017 is important for decision making of treatment.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author:

Authors: Nakano K, Masui T, Yogo A, Uchida Y, Nagai K,

Keywords: PanNEN, WHO classification 2017, EUS-FNA, Ki-67, biopsy, surgical pathology, discordance,

#2948 Efficacy Prediction Using Computed Tomography for Patients with Pancreatic Neuroendocrine Tumors Receiving Sunitinib

Introduction: How to predict the efficacy of sunitinib before treatment initiation was less known.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author:

Authors: Zhang Y, Chen L, Wang W, Jin K, Yuan B,

Keywords: sunitinib, computed tomography, efficacy prediction,