Abstract Library

#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,

#4172 Hormonally characterised NF-PanNETs and their clinicopathological features

Introduction: PanNETs show pronounced hormonal heterogeneity. The expression of certain hormones may associate with functional syndromes, but also with histological and genetic features. However, detailed studies of hormonal patterns in PanNETs correlated to morphological and clinical data are lacking.

Conference:

Presenting Author: Moser E

Authors: Moser E, Ito A, Vogel L, Steiger K, Scheidhauer K,

Keywords: Neuroendocrine Tumor, hormonal expression, subtypes, outcome, transcriptional factors,

#3979 New insights into the progression of NET G3 with a focus of NETs with NEC-like transformation

Introduction: Despite increasing knowledge of the clinical and morphomolecular features of NETs G3, little is known about NETs showing NEC-like transformation. Recent studies reported that NETs G3 may share histological and genetic features with NECs, such as TP53 mutations.

Conference:

Presenting Author:

Authors: Kasajima A, Moser E, Pfarr N, Ito A, Vogel L,

Keywords: Neuroendocrine Tumor, Progression, Transition, NEC-like NET,