Abstract Library

#4366 Care of neuroendocrine tumours: The Collaborative of sUrgical Teams for NeuroEndocrine Tumors (CUTNETs)

Introduction: Despite the importance of surgical management, most data on NETs surgical care come from single-centre studies, limiting generalisability. To address these challenges and improve NETs surgical care, a worldwide Collaborative of Surgical Teams for NeuroEndocrine Tumors (CUTNETs) was created.

Conference:

Presenting Author: Hallet J

Authors: Hallet J, Shapiro J, Pascher A, Gaujoux S, Gangi A,

Keywords: surgery, carcinoid, neuroendocrine,

#4360 Real-world practice patterns of 177Lu-DOTATATE in neuroendocrine tumours: A GTE national survey

Introduction: 177Lu-DOTATATE is a standard treatment for neuroendocrine tumours. Grade 3/4 hematologic toxicity affects about 5-10% of patients, with a 2-4% risk of secondary malignant hematologic disorders.

Conference:

Presenting Author:

Authors: Oziel-Taieb S, Ansquer C, Deshayes E, Haissaguerre M,

Keywords: 177Lu-DOTATATE, haematological toxicity, thrombocytopenia, neuroendocrine tumour, toxicity management,

#4328 Health-related quality of life (HRQL) and supportive care needs (SCN) of gastroenteropancreatic neuroendocrine tumours (GEP-NET) in a Swiss NET Centre

Introduction: Health-related quality of life (HRQL) and supportive care needs (SCN) of patients with gastroenteropancreatic neuroendocrine tumours (GEP-NET) remain understudied. Assessing and identifying the affected domains of HRQL and SCN of the patients with GEP-NET is part of the nursing practice and may contribute to adapt the nursing care.

Conference:

Presenting Author: Ho J

Authors: Ho J, Abdulle A, Messerli O, Eicher M, Schaefer N,

Keywords: gastroenteropancreatic neuroendocrine tumour, health related quality of life, quality of life, supportive care needs, unmet needs,

#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,

#4222 Quali-NET: A prospective study on patient-reported quality of life in neuroendocrine neoplasms

Introduction: Neuroendocrine neoplasms of the lung (LNEN) or gastro-enteropancreatic tract (GEPNEN) are typically slow-growing, leading to longer overall survival, and resembling chronic illnesses. Therefore, focus on quality of life (QoL) is crucial. While brief studies have been done, comprehensive, long-term studies are needed.

Conference:

Presenting Author: Islam O

Authors: Islam O, Depauw L, van der Massen I, Simoens M, Galdermans D,

Keywords: GEP-NEN, LNEN, Quality of life, Longitudinal data,