Pancreatic neuroendocrine neoplasms: Correlation between MR features and pathological tumor grades

Pancreatic neuroendocrine neoplasms: Correlation between MR features and pathological tumor grades This study investigated the accuracy of MRI features in differentiating the pathological grades of pancreatic neuroendocrine neoplasms (PNENs). A total of 31 PNENs patients were retrospectively evaluated, including 19 cases in grade 1, 5 in grade 2, and 7 in grade 3. Plain and contrastenhanced MRI was performed on all patients. MRI features including tumor size, margin, signal intensity, enhancement patterns, degenerative changes, duct dilatation and metastasis were analyzed. Chi square tests, Fisher’s exact tests, one-way ANOVA and ROC analysis were conducted to assess the associations between MRI features and different tumor grades. It was found that patients with older age, tumors with higher TNM stage and without hormonal syndrome had higher grade of PNETs (all P<0.05). Tumor size, shape, margin and growth pattern, tumor pattern, pancreatic and bile duct dilatation and presence of lymphatic and distant metastasis as well as MR enhancement pattern and tumor-topancreas contrast during arterial phase were the key features differentiating tumors of all grades (all P<0.05). ROC analysis revealed that the tumor size with threshold of 2.8 cm, irregular shape, pancreatic duct dilatation and lymphadenopathy showed satisfactory sensitivity and specificity in distinguishing grade 3 from grade 1 and grade 2 tumors. Features of peripancreatic tissue or vascular invasion, and distant metastasis showed high specificity but relatively low sensitivity. In conclusion, larger size, poorlydefined margin, heterogeneous enhanced pattern during arterial phase, duct dilatation and the presence of metastases are common features of higher grade PNENs. Plain and contrast-enhanced MRI provides the ability to differentiate tumors with different pathological grades. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Huazhong University of Science and Technology [Medical Sciences] Springer Journals

Pancreatic neuroendocrine neoplasms: Correlation between MR features and pathological tumor grades

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Publisher
Huazhong University of Science and Technology
Copyright
Copyright © 2017 by Huazhong University of Science and Technology and Springer-Verlag GmbH Germany
Subject
Medicine & Public Health; Medicine/Public Health, general
ISSN
1672-0733
eISSN
1993-1352
D.O.I.
10.1007/s11596-017-1777-x
Publisher site
See Article on Publisher Site

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