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: 68Ga-DOTA peptides PET/CT (PET/CT) is the gold standard for neuroendocrine tumors detection (NET), which are often localized in the pancreas. Physiological uptake of pancreatic uncinate process (UP) is a known false positive site in almost of patients.
Conference:
Presenting Author: Linguanti F
Authors: Linguanti F, Abenavoli E, Briganti V, Mungai F, Antonuzzo L,
Keywords: 68Ga-Dota peptide, PET/CT, pancreas, neuroendocrine tumor, pNET,
Introduction: Liver metastases (LM) from well-differentiated (G1/2) neuro-endocrine tumor (NET) can be managed by peptide-receptor radiotherapy (PRRT). Grading determination requires a biopsy; however, biological features can be heterogenous across metastases. Moreover, time-to-progression (TTP) after PRRT can be widely variable.
Conference:
Presenting Author: Fiz F
Authors: Fiz F, Centurioni G, La Fougère C,
Keywords: PRRT, Radiomics, Texture Analysis, PET, PET/CT,
Introduction: Functional imaging could have a key role as prognostic biomarker in well-differentiated neuroendocrine tumors (WD-NETs).
Conference: 18th Annual ENETS Concerence (2021)
Presenting Author: Thuillier P
Authors: Thuillier P, Liberini V, Grimaldi S, Rampado O, Gallio E,
Keywords: neuroendocrine tumor, 68Ga-DOTATOC PET/CT, tumor burden, prognosis, somatostatin receptor expressing tumor volume, total lesion somatostatin receptor expression,
Introduction: Radiomics aims at identifying features contained in biomedical images, analysing them in various scenarios such as the patients' outcome prediction.
Conference: 18th Annual ENETS Concerence (2021)
Presenting Author: Vento A
Authors: Vento A, Laudicella R, Spataro A, Comelli A, Stefano A,
Keywords: PRRT, radiomics, artificial intelligence, 177Lu, 68Ga-DOTA, pet/ct, gep-net,
Introduction: Radiomics aims to identify quantitative features from biomedical images, such as PET, also to improve the prediction of patient outcome.
Conference: 18th Annual ENETS Concerence (2021)
Presenting Author:
Authors: Laudicella R, Comelli A, Spataro A, Stefano A, Vento A,