Abstract library

281 results for "clinicopathological features".
#2683 Clinicopathological Features and Prognostic Analysis of 227 Cases with Well-Differentiated Gastric Neuroendocrine Tumors
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 ENETS Conference 2020 (2020)
Category: Epidemiology/Natural history/Prognosis - Registries, nationwide and regional surveys
Presenting Author: Yuanliang Li
Authors: Li Y, Tan H, Jie C, Jie L, ...
#2828 G3 Neuroendocrine Tumours and Carcinomas: Clinicopathological Features for Distinct Entities
Introduction: The 2019 WHO subclassified the grade 3 (G3) gastroenteropancreatic (GEP) neuroendocrine neoplasms (NEN) into neuroendocrine carcinoma (NEC) or tumors (G3 NET). Yet, few data exist on clinical and treatment profiles for G3 NET.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Pathology - grading, staging
Presenting Author: MD Rodrigo G Taboada
#2848 Correlation between Clinicopathological Features and Distant Metastases in Pancreatic Neuroendocrine Neoplasm: A National Multicenter 10-Year Retrospective Study
Introduction: The incidence of pancreatic neuroendocrine neoplasm (PNEN) is increasing, and the prognosis of patients with PNEN is quite different.So, it is of great significance to study the effect of different pathological features on the prognosis of patients with PNEN.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Biomarkers
Presenting Author: Xinyi Zhu
Authors: Zhu X, Yang H, Lu H, Shi S, ...
#2726 Clinicopathological Characterization of Gastroenteropancreatic Neuroendocrine Tumors in a Single Institute of North Africa: A Retrospective Study of 80 Cases
Introduction: The management of gastroenteropancreatic neuroendocrine tumors (GEP-NETs) is based on a variety of factors including stage, anatomic location, and the presence and type of symptoms.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Epidemiology/Natural history/Prognosis - Registries, nationwide and regional surveys
Presenting Author: Imen Harhira
#2973 Robustness of Radiomic Features in 68Ga-DOTATOC PET/CT: A Monocentric Experience for Neuroendocrine Tumors
Introduction: Neuroendocrine tumors (NET) are a heterogeneous group of malignancies with varied histology, localization and behaviour.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Nuclear Medicine - Imaging and Therapy (PRRT)
Presenting Author: Virginia Liberini
#2985 Peptide Receptor Radionuclide Therapy (PRRT) Outcome Prediction in Neuroendocrine Tumors (NET): Could Radiomic Features Analysis of 68Ga-DOTATOC PET/CT Have a Roll?
Introduction: The PRRT is an effective treatment for NET, but the selection of a good candidate is a very important step.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Case reports
Presenting Author: Virginia Liberini
#3057 Epidemiological Features of Patients with NeuroEndocrine Neoplasms (NENs): Preliminary Results of an Observational Study by the Hellenic Society of Medical Oncology (HeSMO)
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 ENETS Conference 2020 (2020)
Category: Epidemiology/Natural history/Prognosis - Registries, nationwide and regional surveys
Presenting Author: MD, MSc, PhD Nikolaos Tsoukalas
#106 Gastroenteropancreatic neuroendocrine tumors: single institution clinicopathological study
Introduction: Neuroendocrine cells are widely distributed throughout the body, and neoplasms from these dispersed cells can arise at many sites. They are distinguished into two broad categories: 1) Tumors identified as small cell lung carcinomas with biology and natural history of a high-grade malignancy and characteristics of small cell undifferentiated or anaplastic appearance by light microscopy. The WHO categorizes these tumors as poorly-differentiated neuroendocrine carcinomas; 2) Well-defined neuroendocrine tumors (NETs) with variable, but most lyindolent biologic behavior and characteristic well-differentiated histologic features. The majority arise in the gastrointestinal tract and collectively they are referred as gastroenteropancreatic neuroendocrine tumors (GEP/NETs). They include carcinoid tumors, pancreatic islet cell tumors (gastrinoma, insulinoma, glucagonoma, VIPoma, somatostatinoma), paragangliomas, pheochromocytomas, and medullary thyroid carcinomas. The WHO classifies the GEP/NETs as well-differentiated NETs (carcinoid tumors) if they are noninvasive and have benign behavior or uncertain malignant potential. In contrast, GEP/NETs with characteristics of low-grade malignancy with invasion of the muscularis propria or beyond, or metastases, are characterized as well-differentiated neuroendocrine carcinomas (malignant carcinoids). Pancreatic islet cell tumors, whether functioning or not, are classified as well-differentiated NETs or well-differentiated neuroendocrine carcinomas, due to the (depending on) histologic characteristics. The WHO classification for gastroenteropancreatic NETs based on stage (ie size and presence of metastases) and grade (mitotic rate, perineural and lymphovascular invasion, Ki-67 proliferative index) categorizes them as well-differentiated NETs, e.g., carcinoid tumors, or as well-differentiated neuroendocrine carcinomas.
Conference: 7th Annual ENETS Conference (2010)
Category: Clinical
Presenting Author: Dr Michael M. Vaslamatzis
#132 Correlation of Ki-67 proliferative index with pathological features and outcome in pancreatic endocrine tumors
Introduction: Information on relationships between Ki-67 values and clinicopathological features in pancreatic endocrine tumors (PETs) is scant and comes mostly from a small series.
Conference: 7th Annual ENETS Conference (2010)
Category: Clinical
Presenting Author: Dr Alessandro Zerbi
#302 Monoclonal Antibodies Against the Human Somatostatin Receptor Subtypes 1-5: Characterization and Immunohistochemical Application in Gastrointestinal Neuroendocrine Tumors
Introduction: A lack of well-characterized somatostatin receptor (sstr)-specific antibodies has hampered development of routine sstr expression profiles that may be useful in the treatment of NET patients (pts).
Conference: 8th Annual ENETS Conference (2011)
Category: Clinical
Presenting Author: Chiara Lambertini