TY - JOUR
T1 - Pancreatic neuroendocrine neo-plasms
T2 - 2020 update on pathologic and imaging findings and classification
AU - Khanna, Lokesh
AU - Prasad, Srinivasa R.
AU - Sunnapwar, Abhijit
AU - Kondapaneni, Sainath
AU - Dasyam, Anil
AU - Tammisetti, Varaha S.
AU - Salman, Umber
AU - Nazarullah, Alia
AU - Katabathina, Venkata
N1 - Publisher Copyright:
© RSNA, 2020.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - Pancreatic neuroendocrine neoplasms (panNENs) are heterogeneous neoplasms with neuroendocrine differentiation that show characteristic clinical, histomorphologic, and prognostic features; genetic alterations; and biologic behavior. Up to 10% of panNENs develop in patients with syndromes that predispose them to cancer, such as multiple endocrine neoplasia type 1, von Hippel–Lindau disease, tuberous sclerosis complex, neurofibromatosis type 1, and glucagon cell adenomatosis. PanNENs are classified as either functioning tumors, which manifest early because of clinical symptoms related to increased hormone production, or nonfunctioning tumors, which often manifest late because of mass effect. PanNENs are histopathologically classified as well-differentiated pancreatic neu-roendocrine tumors (panNETs) or poorly differentiated pancreatic neuroendocrine carcinomas (panNECs) according to the 2010World Health Organization (WHO) classification system. Recent advances in cytogenetics and molecular biology have shown substantial hetero-geneity in panNECs, and a new tumor subtype, well-differentiated, high-grade panNET, has been introduced. High-grade panNETs and panNECs are two distinct entities with different pathogenesis, clinical features, imaging findings, treatment options, and prognoses. The 2017WHO classification system and the eighth edition of the American Joint Committee on Cancer staging system include substantial changes. Multidetector CT, MRI, and endoscopic US help in anatomic localization of the primary tumor, local-regional spread, and metastases. Somatostatin receptor scintigraphy and fluorine 18– fluorodeoxyglucose PET/CT are helpful for functional and metabolic assessment. Knowledge of recent updates in the pathogenesis, clas-sification, and staging of panNENs and familiarity with their imaging findings allow optimal patient treatment.
AB - Pancreatic neuroendocrine neoplasms (panNENs) are heterogeneous neoplasms with neuroendocrine differentiation that show characteristic clinical, histomorphologic, and prognostic features; genetic alterations; and biologic behavior. Up to 10% of panNENs develop in patients with syndromes that predispose them to cancer, such as multiple endocrine neoplasia type 1, von Hippel–Lindau disease, tuberous sclerosis complex, neurofibromatosis type 1, and glucagon cell adenomatosis. PanNENs are classified as either functioning tumors, which manifest early because of clinical symptoms related to increased hormone production, or nonfunctioning tumors, which often manifest late because of mass effect. PanNENs are histopathologically classified as well-differentiated pancreatic neu-roendocrine tumors (panNETs) or poorly differentiated pancreatic neuroendocrine carcinomas (panNECs) according to the 2010World Health Organization (WHO) classification system. Recent advances in cytogenetics and molecular biology have shown substantial hetero-geneity in panNECs, and a new tumor subtype, well-differentiated, high-grade panNET, has been introduced. High-grade panNETs and panNECs are two distinct entities with different pathogenesis, clinical features, imaging findings, treatment options, and prognoses. The 2017WHO classification system and the eighth edition of the American Joint Committee on Cancer staging system include substantial changes. Multidetector CT, MRI, and endoscopic US help in anatomic localization of the primary tumor, local-regional spread, and metastases. Somatostatin receptor scintigraphy and fluorine 18– fluorodeoxyglucose PET/CT are helpful for functional and metabolic assessment. Knowledge of recent updates in the pathogenesis, clas-sification, and staging of panNENs and familiarity with their imaging findings allow optimal patient treatment.
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U2 - 10.1148/rg.2020200025
DO - 10.1148/rg.2020200025
M3 - Article
C2 - 32795239
AN - SCOPUS:85090252523
SN - 0271-5333
VL - 40
SP - 1240
EP - 1262
JO - Radiographics
JF - Radiographics
IS - 5
ER -