Abstract Library
Members may log into MY ENETS to visit the abstract library from previous ENETS conferences.
Participants of the ENETS Conference in 2024 can now access the abstract booklet, e-posters and videos, slide decks of talks, the poster carousel, and more via My ENETS.
ENETS Abstract Search
#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
Keywords: MEN1, LGCS, NENs, gastrinoma, Parathyroid carcinoma,
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,
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
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,
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,