Abstract Library

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

Everyone can browse the library to find basic information on abstracts. To get full access to each entry, you will be asked to log in to your myENETS account.

 

Please note:

Participants of the 2025 ENETS Conference enjoy full access to the 2025 conference digital resources through myENETS: the abstract booklet, e-posters and videos, slide decks of talks, the poster carousel, and more.

Log in to myENETS

ENETS Abstract Search

#1913 Un Unusual Tumor Association in Acromegaly

Introduction: Acromegaly is associated with an increased risk for malignancies. Only a case of pseudomyxoma peritonei with ovarian and appendicular sequential tumors in acromegaly was described

Conference: 14th Annual ENETSConcerence (2017)

Presenting Author:

Authors: Bima C, Chiloiro S, Bianchi A, Schinzari G, Inzani F,

Keywords: acromegaly, appendicular tumor,

#1013 Evaluation of VEGF and Endocan/ESM-1 Expression in pNETs and Correlation with Ki-67 and Prognosis

Introduction: Endocan has been reported as specific of endothelial tumor cells and was shown to be expressed by tip cells during the angiogenesis process.

Conference: 11th Annual ENETSConcerence (2014)

Presenting Author: Lugli F

Authors: Lugli F, Iacovazzo D, Lanza P, Inzani F, De Waure C,

Keywords: GEP-NET, Endocan, VEGF,

#935 A Three Tier Grading System Based on Ki-67 Index, Mitotic Count and Necrosis with Cut-Offs Specifically Generated for Lung Neuroendocrine Tumors is Prognostically Effective and Accurate

Introduction: Lung neuroendocrine tumors are catalogued into four categories by the World Health Organization (WHO 2004) classification. Its reproducibility and prognostic efficacy was disputed. The WHO 2010 classification of digestive neuroendocrine neoplasms is based on a Ki-67 index and has proved prognostically effective.

Conference: 11th Annual ENETSConcerence (2014)

Presenting Author:

Authors: Rindi G, Klersy C, Inzani F,

Keywords: lung, neuroendocrine cancer, Ki-67, grading,