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: In patients with metastatic functional neuroendocrine tumors (NETs), symptoms are, sometimes, not adequately controlled with long-acting somatostatin analogues (LASSAs), so patients need to use boost subcutaneous (sc) octreotide injections (inj) daily. However, this approach is not always effective and convenient for the patients.
Conference:
Presenting Author: Thuringer J
Authors: Thuringer J, Parker G, Sarma A, Hayes A, Mandair D,
Keywords: carcinoid syndrome, VIPoma, Octreotide, pump, refractory, subcutaneous,
#3734 Treatment outcomes in patients with localized and advanced glucagonomas – A case series
Introduction: Glucagonomas are rare functional pancreatic neuroendocrine tumors, which are often metastatic at diagnosis. Due to their low prevalence, the effectiveness of available treatment modalities remains unclear.
Conference:
Presenting Author: Armeni E
Authors: Porto J, Alexander B, Armeni E, Hesketh R, Mandair D,
Keywords: glucagonoma, treatment lines, progression-free survival, overall survival,
Introduction: Few circulating biomarkers are available for prediction of progression-free survival (PFS) in patients with advanced neuroendocrine tumors (NET) received 177Lu-Dotatate.
Conference: 18th Annual ENETS Concerence (2021)
Presenting Author:
Authors: Chen L, Gnanasegaran G, Mandair D, Toumpanakis C, Caplin M,
Keywords: PRRT, survival, ESR, creatinine, CgA,
Introduction: RAISE aimed to find a surrogate endpoint to early predict treatment efficacy in patients with neuroendocrine tumors (NET). Dissociated response is the inhomogeneous response of the different lesions of a patient. Its prognostic value remains unclear.
Conference: 18th Annual ENETS Concerence (2021)
Presenting Author: Dromain C
Authors: Dromain C, Pavel M, Ronot M, Schaefer N, Mandair D,
Keywords: neuroendocrine tumor, dissociated response, progression-free survival, prediction,
Introduction: Response Evaluation Criteria in Solid Tumors (RECIST) assesses treatment response via tumor progression in patients with neuroendocrine tumors (NET). RAISE combined deep learning models (DLM) with sum of the longest diameter (SLD) of liver lesions and chromogranin A (CgA) to find a surrogate endpoint for RECIST to early predict progression-free survival (PFS).
Conference: 18th Annual ENETS Concerence (2021)
Presenting Author: Pavel M
Authors: Pavel M, Dromain C, Ronot M, Schaefer N, Mandair D,
Keywords: neuroendocrine tumor, deep learning models, progression-free survival, prediction,