Abstract Library
Welcome to the open-access search for all ENETS abstracts presented at the Annual ENETS Conferences.
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Introduction: Merkel cell carcinomas (MCC) are a rare, aggressive skin neuroendocrine carcinomas, with peak incidence in the elderly. MCC often presents as a firm, red/purple painless nodule with a short history of increasing size. Surgery is considered the 1st line treatment but elderly patients, in particular, have comorbidities which may preclude radical surgery requiring reconstruction. In advanced MCC, immunotherapy (IO) is 1st line systemic treatment. Chemotherapy is used 2nd line or if contraindications for IO but can be challenging in an elderly population. There may be an emerging role for PRRT due to the presence of somatostatin receptors on MCC. Radiotherapy (RT) can be used for non-surgical candidates, or those with unresectable or metastatic disease. Adjuvant post-operative irradiation (PORT) may provide additional benefit in risk reduction and improves local control.
Conference:
Presenting Author:
Authors: Saunders E, Sizer B, Collins J, Skelly R, Srinivasan G,
Keywords: Merkel cell, skin, radiotherapy,
Introduction: PRRT is an effective therapy for advanced NENs with SSTR-avid disease, however, the role of interval imaging in between PRRT cycles and its benefit is unknown.
Conference:
Presenting Author:
Authors: Grewal U, Patel R, Chandasekharan C,
Keywords: Peptide receptor radionuclide therapy, interval imaging, neuroendocrine tumour,
Introduction: Physical activity programs in solid tumours have shown to improve symptom control and even survival, but their impact on NENs remains unexplored. Advanced disease, systemic therapy, and hormonal secretion in these tumours often lead to muscle wasting and sarcopenia.
Conference:
Presenting Author: Anton-Pascual B
Authors: Anton-Pascual B, Rodriguez-Gomez J, de Cima A, Herrero-Llorente A, Modrego A,
Keywords: FIT-NET, physical exercise program, Quadriceps, MEP & MIP, QoL,
Introduction: Neuroendocrine tumours (NETs) are a group of cancers that can be difficult to distinguish from other malignancies in CT imaging. Their diverse appearance often leads to diagnostic challenges, requiring advanced techniques to improve classification accuracy. Pretrained Vision Transformers (ViTs) have shown promise in medical image analysis, but additional methods are needed to enhance model robustness, particularly when dealing with complex and heterogeneous tumour characteristics.
Conference:
Presenting Author:
Authors: Li H, Tang Z, Ding Z, Chen Y, Li H,
Keywords: Vision transformers, Cancer Detection, Transfer Learning, Medical Image Analysis,
Introduction: RTL targeted somatostatin receptors is increasingly available. Individual dosimetry performed during RLT of NET may enable to achieve better results of therapy with maintaining its safety.
Conference:
Presenting Author: Opalińska M
Authors: Opalinska M, Kaminski G, Dedecjus M, Kowalska A, Kolodziej M,
Keywords: RLT, DUONEN, GEP-NET, Tandem RLT, dosimetry,