• Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
SONG Bin, Email: cjr.songbin@vip.163.com
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Objective  To explore CT features that can be used to identify nonhypervascular pancreatic neuroendocrine neoplasm (pNEN) and pancreatic ductal adenocarcinoma (PDAC). Methods  The patients with pathologically confirmed the pNEN and PDAC were retrospectively included from May 2010 to May 2017. The CT features were analyzed. The CT features were extracted by the multivariate logistic regression, and their diagnostic performances were calculated. Results  Forty patients with the nonhypervascular pNEN (33 unfunctional, 7 functional) and 80 patients with the PDAC were included in this study. The features of significant differences between the nonhypervascular pNEN and the PDAC included: the location, long diameter, margin, uniform lesions, calcification, and vascular shadows of the lesion (P<0.05). The margin [OR=14.63, 95% CI (2.82, 75.99)], calcification [OR=4.00, 95% CI (1.03, 15.59)], and location [OR=3.09, 95% CI(1.19, 7.99)] of the lesion could independently identify the nonhypervascular pNEN. The multivariate logistic regression model of the differential diagnosis of the nonhypervascular pNEN and PDAC was obtained through the CT features of significant differences. The diagnostic sensitivity was 70.00%, 95% CI (53.5,83.4); specificity was 83.54%, 95% CI (73.5, 90.9); and area under the receiver operating curve was 0.824, 95% CI (0.743, 0.887). Conclusions  Multivariate logistic regression model of CT features is helpful for differential diagnosis of nonhypervascular pNEN and PDAC. Features of margin and calcification of lesion are more valuable in differential diagnosis of nonhypervascular pNEN and PDAC.

Citation: HUANG Zixing, YU Haopeng, LI Mou, WANG Yi, SONG Bin. CT features differentiate nonhypervascular pancreatic neuroendocrine neoplasm and pancreatic ductal adenocarcinoma: preliminary study. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2018, 25(11): 1375-1379. doi: 10.7507/1007-9424.201809016 Copy

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