Search results for "Gastroenteropancreatic Neuroendocrine Tumor"

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Metabolic disorders and gastroenteropancreatic-neuroendocrine tumors (GEP-NETs): How do they influence each other? An Italian Association of Medical …

2022

Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are a heterogeneous group of malignancies derived from neuroendocrine cells that can occur anywhere along the gastrointestinal tract. GEP-NETs incidence has been steadily increasing over the past decades, in parallel with the increasing incidence of the metabolic syndrome (MetS). It is not yet fully known whether the MetS components (such as obesity, dyslipidemia and type 2 diabetes) could be involved in the etiology of GEP-NETs or could influence their outcomes. In this review, a panel of experts of the Italian Association of Medical Oncology (AIOM), Italian Association of Medical Diabetologists (AMD), Italian Society of Endocrinology…

ConsensusSettore MED/06 - Oncologia MedicaGEP-NET progressionMetabolic disordersHematologyMedical OncologyMetabolic syndromeNOGEP-NET survivalPancreatic NeoplasmsNeuroendocrine Tumorsgastroenteropancreatic neuroendocrine tumors; gep-net progression; gep-net survival; metabolic disorders; metabolic syndrome; consensus; humans; medical oncology; diabetes mellitus; type 2; intestinal neoplasms; neuroendocrine tumors; pancreatic neoplasms; stomach neoplasmsOncologyGEP-NET progression; GEP-NET survival; Gastroenteropancreatic neuroendocrine tumors; Metabolic disorders; Metabolic syndromeDiabetes Mellitus Type 2Stomach NeoplasmsIntestinal NeoplasmsDiabetes MellitusHumansLS4_3Gastroenteropancreatic neuroendocrine tumorsType 2
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Ki-67 assessment of pancreatic neuroendocrine neoplasms: Systematic review and meta-analysis of manual vs. digital pathology scoring

2022

Ki-67 assessment is a key step in the diagnosis of neuroendocrine neoplasms (NENs) from all anatomic locations. Several challenges exist related to quantifying the Ki-67 proliferation index due to lack of method standardization and inter-reader variability. The application of digital pathology coupled with machine learning has been shown to be highly accurate and reproducible for the evaluation of Ki-67 in NENs. We systematically reviewed all published studies on the subject of Ki-67 assessment in pancreatic NENs (PanNENs) employing digital image analysis (DIA). The most common advantages of DIA were improvement in the standardization and reliability of Ki-67 evaluation, as well as its spee…

Reproducibility of ResultsBreast NeoplasmsCarcinoid TumorPathology and Forensic MedicinePancreatic Neoplasmsneuroendocrine neoplasms pancreasNeuroendocrine TumorsKi-67 AntigenGastroenteropancreatic Neuroendocrine TumorBiomarkers TumorImage Processing Computer-AssistedHumansGastroenteropancreatic Neuroendocrine Tumor; Cancer; Carcinoid TumorFemaleCell ProliferationCancer
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