Differentiation of hypovascular pancreatic neuroendocrine tumors and mass-forming pancreatitis by enhanced CT
10.16571/j.cnki.1008-8199.2020.07.011
- VernacularTitle: 增强CT对乏血供胰腺神经内分泌肿瘤及肿块型胰腺炎的鉴别诊断价值
- Author:
Ya-jie WANG
;
Xiao CHEN
1
;
Xin CHEN
2
;
Can CUI
1
;
Yong-kang LIU
1
;
Hao ZHOU
1
;
Zhong-qiu WANG
1
Author Information
1. Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, Jiangsu, China
2. Department of Graduate, Bengbu Medical College, Bengbu 233030, Anhui, China
- Publication Type:Journal Article
- Keywords:
hypovascular pancreatic neuroendocrine tumors;
mass-forming pancreatitis;
pancreatic tumors;
enhanced；differential;
diagnosis
- From:
Journal of Medical Postgraduates
2020;33(7):732-736
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo explore the value of MSCT for differentiating the hypovascular pancreatic neuroendocrine tumors (Hypo-PNETs) from mass-forming pancreatitis.Methods21 patients with histological-confirmed MPFs and 19 patients with Hypo-PNETs who underwent preoperative dynamic contrast-enhanced CT were included. The CT images were analyzed including tumor size,density, border, CT values in each phase, dilatation of pancreatic duct and bile duct and metastases. The clinical data included age, sex and clinical symptoms.ResultsMFPs often occurred in male patient compared with Hypo-PNETs (85.7% vs 52.6%, P<0.05), and the difference is statistically significant; Metastases only occurred in Hypo-PNETs (P<0.05), and the difference is drastically significant. The well-defined margin often occurred in Hypo-PNETs (52.4% vs 47.6%, P=0.032). Solid tumor more happened in MFPs(95.2% vs 47.4%, P＜0.05). The CT values in the portal of MFPs were higher than Hypo-PNETs(P<0.05). The combined features showed accepted diagnostic performance for differentiating Hypo-PNETs from MFPs (89.5% of sensitivity and 95.2% of specificity).ConclusionMFPs often occurred in male patient, and CT values of portal phase, density, border and metastases may be valuable for differentiating Hypo-PNETs from MFPs.
