Abstract Library

#4536 Follow-up is not justified in patients with typical lung carcinoids treated with curative intent

Introduction: Typical carcinoids (TC) are well-differentiated neuroendocrine neoplasms of the lung with generally favourable prognosis. Recurrence is rare in TC patients treated with curative intent, yet current ENETS guidelines recommend extensive follow-up, including regular and long-term imaging.

Conference:

Presenting Author: Lau T

Authors: Lau T, Soldath P, Rewitz K, Jepsen P, Knigge U,

Keywords: typical carcinoid, lung nen, follow-up programme,

#4442 Prevalence of second primary malignancies in patients with neuroendocrine tumours – Experience from a tertiary reference centre

Introduction: Neuroendocrine tumours (NETs) constitute a diverse group of tumours. NETs are often diagnosed late, due to nonspecific symptoms. Second Primary Malignancies (SPMs) have been reported in up to 25% of NETs and their incidence has been described as negative predictor of OS.

Conference:

Presenting Author:

Authors: Komarnicki P, Woliński K, Maciejewski A, Musiałkiewicz J, Gut P,

Keywords: neuroendocrine neoplasm, neuroendocrine tumour, second primary malignancy, secondary malignancy, second primary neoplasm,

#4177 Performance of a prognostic OTP, CD44, Ki-67 biomarker panel on paired biopsies and resections of lung carcinoids

Introduction: Previously OTP, CD44 and ki-67 have been identified as prognostic biomarkers for lung carcinoid (LC).

Conference:

Presenting Author: van Weert T

Authors: van Weert T, Moonen L, Hillen L, von der Thüsen J, Lap L,

Keywords: OTP, CD44, Ki-67, lung carcinoid, relapse prediction,

#3975 Patterns of radiotracer uptake in patients with resectable lung carcinoids undergoing preoperative functional imaging

Introduction: There is paucity of real-world data on the use of preoperative functional imaging (PFI) in patients (pts) with lung carcinoids (LC), and the association of radiotracer uptake (RU) with histology/outcomes.

Conference:

Presenting Author: Diamantopoulos L

Authors: Diamantopoulos L, Dimou A, Parikh K, Shanshal M, Schwecke A,

Keywords: carcinoid, lung, gallium, pet, somatostatin,

#3972 Machine-learning identified optimised classification models for the diagnosis of typical and atypical lung carcinoids based on the genomic variance

Introduction: The current diagnosis of lung typical carcinoids (TCs) and atypical carcinoids (ACs) can be ambiguous for small biopsies containing limited tissues.

Conference:

Presenting Author: Guo Y

Authors: Guo Y, Su F, Hu S, Chen R, Chen Q,

Keywords: lung carcinoid, typical carcinoid, atypical carcinoid, machine-learning, diagnosis, genomic features,