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

#4281 Automated (artificial intelligence) vs. manual evaluation of the somatostatin-receptor 2A and proliferation marker Ki-67 in neuroendocrine neoplasms: A pilot study

Introduction: Digital image analysis methods are currently being equipped with artificial intelligence (AI). Various AI applications are already in use to determine Ki-67. To date, there is no specialised AI application available to determine the somatostatin-receptor 2A (SSTR2A).

Conference:

Presenting Author:

Authors: Kaemmerer D, Lupp A, Klöppel G, Ayako I, Kasajima A,

Keywords: artificial intelligence, Ki-67, SSTR2A, usability, neuroendocrine neoplasm,

#3733 New insights on the clinical role of Ki-67 and spindle cell and oncocytic histological variants in lung carcinoid tumors

Introduction: WHO classification defines lung carcinoid tumors (LCTs) as well-differentiated neuroendocrine neoplasms classified in typical (TC) and atypical carcinoids (AC). Morphologic factors and protein expression able to predict recurrence after surgical curative resection are little known. Ki-67 and spindle cell and oncocytic histological variants may impact on differential diagnosis, but their clinical relevance is much debated.

Conference:

Presenting Author: Milione M

Authors: Centonze G, Maisonneuve P, Grillo F, Prinzi N, Lagano V,

Keywords: lung carcinoid, Ki-67, spindle cell, oncocytic, Immunohistochemistry,

#3409 Ascl1 and OTP identify four prognostic groups among atypical carcinoids

Introduction: Atypical Carcinoids (AC) according World Health Organization guidelines are well differentiated Lung Neuroendocrine tumor with 2-10 mitoses/2 mm2 and/or with necrosis. Besides morphological differentiation no further tools in predicting AC clinical outcome are proposed.

Conference:

Presenting Author:

Authors: Centonze G, Maisonneuve P, Grillo F, Mangogna A, Prinzi N,

Keywords: Atypical Carcinoid, lung, ascl1, otp,

#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,

#2965 Molecular Signature of Rectal Neuroendocrine Neoplasia

Introduction: Rectal neuroendocrine tumors are rare neuroendocrine neoplasias (NEN). Little is known about prevalence and type of somatostatin receptor subtypes (sstr) expression and somatic mutations in relation to long-term clinical outcome.

Conference: 17th Annual ENETSConcerence (2020)

Presenting Author:

Authors: Unger N, Theurer S, Herold T, Weber F, Dralle H,

Keywords: Somatic Mutations, NGS, Somatostatin receptor subtypes, Intestinal NEN,