Abstract Library
Welcome to the open-access search for all ENETS abstracts presented at the Annual ENETS Conferences.
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ENETS Abstract Search
Introduction: Neuroendocrine tumours (NETs) vary widely in clinical behaviour, complicating prognosis. Traditional models often struggle with accuracy due to the complexity of NETs. Artificial intelligence (AI) offers tools for enhanced prognostic precision by analysing complex datasets. This study explores an AI-driven approach to predict outcomes in NET patients at Cantonment General Hospital, Pakistan.
Conference:
Presenting Author: Fatima A
Authors: Fatima A,
Keywords: artificial intelligence, machine learning, Precision medicine, Personalised treatment,
Introduction: Neuroendocrine tumours (NETs) often have poor prognosis upon metastasis. Peptide receptor radionuclide therapy (PRRT) is a novel treatment leveraging targeted cytotoxicity of radionuclides to efficiently address primary and metastatic tumours of NETs.
Conference:
Presenting Author: Yu J
Authors: Zeng Z, Lu M, Xie Q, Li J, Yang Z,
Keywords: peptide receptor radionuclide therapy, neuroendocrine tumour, tumour immune microenvironment, tumour response, therapeutic effect prediction,
Introduction: After progressing on somatostatin analogues (SSA), patients with somatostatin receptor positive gastroenteropancreatic (GEP) NETs often receive PRRT. It is unclear whether current practice of continuing SSA after commencing PRRT is beneficial, especially in non-functioning NETs.
Conference:
Presenting Author:
Authors: Burge M, Wyld D, Pattison D, Loree J, Goodwin R,
Keywords: Somatostatin analogue, peptide receptor radionuclide therapy, gastroenteropancreatic, neuroendocrine, non-functioning, cessation, Australasian Gastro-Intestinal Trials Group (AGITG), Canadian Cancer Trials Group (CCTG),
Introduction: Endocrine and neuroendocrine neoplasia (NEN), which include gastroenteropancreatic neuroendocrine tumours, thyroid cancer and adrenal carcinoma, have a low incidence, making their diagnosis and treatment difficult. Due to this complexity, patients should be managed at specialised centres; however, the lack of official referral networks complicates the concentration of cases.
Conference:
Presenting Author: Martinez-Badal S
Authors: Martínez-Badal S, Hernando Cubero J, García Alvarez A, Elguero B, Alcantara A,
Keywords: Neuroendocrine, Clinical Trial, Reference Centre, Patient referral,
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,