Abstract Library
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ENETS Abstract Search
Introduction: NENs are rare tumors and can grow in almost all tissues. Regardless histological, molecular and imaging characteristics that are indicative of the primary origin, a significant percentage remain of unknown primary.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author: Koumarianou A
Authors: Koumarianou A, Tsoukalas N, Syrigos K, Demiri S, Ziras N,
Keywords: NeuroEndocrine Neoplasms (NENs), epidemiological features, registry, diagnosis, Hellenic Society of Medical Oncology (HeSMO),
Introduction: Typical lung carcinoids(TCs)are rare tumors with good,although heterogeneous,prognosis.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author: Briganti V
Authors: Briganti V, Berti V, Abenavoli E, Linguanti F, Ciaccio A,
Keywords: typical lung carcinoid, FDG PET, SSTR imaging, MTV, TLG,
Introduction: G3 NETs are rare tumors with poorly defined prognosis and management.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author:
Authors: de Mestier L, Lamarca A, Hernando-Cubero J, Alonso Gordoa T, Cros J,
Keywords: grade 3, prognosis, treatment, alkylating agents,
Introduction: High grade Neuroendocrine Neoplasias (NEN) are rare tumors with a poor prognosis and no established second line therapy.
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author: Weber M
Authors: Fottner C, Apostolidis L, Ferrata M, Krug S, Michl P,
Keywords: NEC, NEN G3, check-point inhibitor, Avelumab, anti-PD-L1-antibody, immunotherapy,
Introduction: Gastric neuroendocrine neoplasms (g-NENs) are a group of rare tumors with a strong heterogeneity, subdivided as well-differentiated neuroendocrine tumors (NETs, type 1-3 g-NETs) and poorly-differentiated neuroendocrine carcinoma(NECs). WHO classification(2019) for digestive system tumours has carried out a new classification and grading criteria for NENs of the gastrointestinal tract recently, there is very few relevant clinical data based on this new classification, especially for gastric NETs(g-NETs).
Conference: 17th Annual ENETSConcerence (2020)
Presenting Author:
Authors: Li Y, Tan H, Jie C, Jie L, Pan Z,
Keywords: clinicopathological features, prognostic analysis, well-differentiated gastric neuroendocrine tumors, grade, type,