Published online Jan 14, 2017. doi: 10.3748/wjg.v23.i2.275
Peer-review started: September 2, 2016
First decision: October 20, 2016
Revised: November 7, 2016
Accepted: December 8, 2016
Article in press: December 8, 2016
Published online: January 14, 2017
Processing time: 132 Days and 22.1 Hours
To describe magnetic resonance (MR) imaging features of pancreatic neuroendocrine neoplasms (PanNENs) according to their grade and tumor-nodes-metastases stage by comparing them to histopathology and to determine the accuracy of MR imaging features in predicting their biological behavior.
This study was approved by our institutional review board; requirement for informed patient consent was waived due to the retrospective nature of the study. Preoperative MR examinations of 55 PanNEN patients (29 men, 26 women; mean age of 57.6 years, range 21-83 years) performed between June 2013 and December 2015 were reviewed. Qualitative and quantitative features were compared between tumor grades and stages determined by histopathological analysis.
Ill defined margins were more common in G2-3 and stage III-IV PanNENs than in G1 and low-stage tumors (P < 0.001); this feature had high specificity in the identification of G2-3 and stage III-IV tumors (90.3% and 96%, 95%CI: 73.1-97.5 and 77.7-99.8). The mean apparent diffusion coefficient value was significantly lower in G2-3 and stage III-IV lesions compared to well differentiated and low-stage tumors (1.09 × 10-3 mm2/s vs 1.45 × 10-3 mm2/s and 1.10 × 10-3 mm2/s vs 1.53 × 10-3 mm2/s, P = 0.003 and 0.001). Receiving operator characteristic analysis determined optimal cut-offs of 1.21 and 1.28 × 10-3 mm2/s for the identification of G2-3 and stage III-IV tumors, with sensitivity and specificity values of 70.8/80.7% and 64.5/64% (95%CI: 48.7-86.6/60-92.7 and 45.4-80.2/42.6-81.3).
MR features of PanNENs vary according to their grade of differentiation and their stage at diagnosis and could predict the biological behavior of these tumors.
Core tip: This study aimed to describe magnetic resonance imaging features of pancreatic neuroendocrine neoplasms by comparing them to histopathology and to determine the accuracy in predicting tumor grade and biological behavior. Beside vascular infiltration and liver metastases, ill-defined margins had high specificity for the identification of G2-3 and stage III-IV tumors (90.3% and 96%, respectively). Lesion size above 17.5 mm had a 91.7% sensitivity in the identification of G2-3 tumors; apparent diffusion coefficient values below 1.21 and 1.28 × 10-3 mm2/s had high sensitivity (70.8% and 80.7%) for the identification of G2-3 and stage III-IV tumors.