Abstract Library

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

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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.

ENETS Abstract Search

#4028 Clinical application of digital pathology: Proposal of a new G0 category useful in small intestinal NET (SI-NET)

Introduction: SI-NET display low proliferation rate despite a high frequency of metastases. Ki67 index is frequently reported as “

Conference:

Presenting Author: Couvelard A

Authors: Guedj N, Cléry G, Chassac A, Hentic O, Colnot N,

Keywords: Small Intestinal NET-, grade, survival, prognosis, G1,

#3883 Immune landscape in mixed neuroendocrine-non neuroendocrine neoplasms (MiNEN)

Introduction: A mixed neuroendocrine-non neuroendocrine neoplasm (MiNEN) is a novel defined rare entity, made up of two morphologically distinct neoplastic components; one neuroendocrine type (NEN), and the other one non-neuroendocrine type (nNEN). Neuroendocrine differentiation of tumors is thought to influence the tumor microenvironment (TME) through the secretion of various hormones or growth factors.

Conference:

Presenting Author:

Authors: Di Mauro A, Ferrara G, Iervolino D, Scognamiglio G, Clemente O,

Keywords: mixed neuroendocrine, neuroendocrine, tumor microenvironment, immunotherapy, biomarker,

#813 Comparison of Manual and Automatic Methods of Ki-67 Proliferation Index for Neuroendocrine Tumors: The Development and Validation of a Novel Digital Pathology Tool (Ki-67Counter)

Introduction: Ki-67 proliferation index is an increasingly important biomarker used to grade neuroendocrine tumors. Manual counting methods are laborious and subject to inter- and intra-observer variability. Digital counting methods hold promise for fast and reproducible indices, however, they are fraught with technical difficulties.

Conference: 11th Annual ENETSConcerence (2014)

Presenting Author:

Authors: Neltner J, Su H, Xing F, Rosser J, Cibull M,

Keywords: digital pathology, automated Ki-67 counting, image analysis,