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Differentiation of chronic mass-forming pancreatitis from pancreatic ductal adenocarcinoma using contrast-enhanced computed tomography

Authors Ren S, Chen X, Cui W, Chen R, Guo K, Zhang H, Chen S, Wang Z

Received 24 May 2019

Accepted for publication 5 August 2019

Published 20 August 2019 Volume 2019:11 Pages 7857—7866

DOI https://doi.org/10.2147/CMAR.S217033

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Nicola Ludin

Peer reviewer comments 2

Editor who approved publication: Dr Antonella D'Anneo


Shuai Ren,1 Xiao Chen,1 Wenjing Cui,1 Rong Chen,2 Kai Guo,1 Huifeng Zhang,1 Shuai Chen,1 Zhongqiu Wang1

1Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province 210029, People’s Republic of China; 2Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA

Correspondence: Zhongqiu Wang
Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, No. 155 Hanzhong Road, Nanjing, Jiangsu Province 210029, People’s Republic of China
Tel +86 258 086 1278
Email zhqwang001@126.com

Purpose: Both chronic mass-forming pancreatitis (CMFP) and pancreatic ductal adenocarcinoma (PDAC) are focal pancreatic lesions and share very similar clinical symptoms and imaging performance. There is great clinical value in preoperative differentiation of those two lesions. The purpose of this study was to investigate the value of computed tomography (CT) features in discriminating CMFP from PDAC.
Patients and methods: Forty-seven patients with pathologically confirmed PDAC and 21 patients with CMFP were included in this study. Demographic and CT features, including tumor location, size, margin, pancreatic or bile duct dilatation, vascular invasion, cystic necrosis, pancreatic atrophy, calcification, and tumor contrast enhancement, were retrospectively analyzed and compared. Multivariate logistic regression analyses were adopted to identify relevant CT imaging features to discriminate CMFP from PDAC.
Results: There were significant differences between CMFP and PDAC with respect to main pancreatic duct dilatation, vascular invasion, cystic necrosis, pancreatic atrophy, calcification, and tumor contrast enhancement. Delayed contrast enhancement (>70.5 Hounsfield units) showed high sensitivity and specificity of 84.2% and 84.7%. The areas under the curve (AUCs) of the predicting models based on qualitative and quantitative variables were 0.770 (95% CI: 0.660–0.880) and 0.943 (95% CI: 0.888–0.999), respectively. When all significant variables were used in combination to build a predicting model, the AUC was 0.969 (95% CI: 0.930–1.000) with 84.2% sensitivity and 94.7% specificity.
Conclusion: Main pancreatic duct dilatation, vascular invasion, cystic necrosis, pancreatic atrophy, calcification, tumor size, and tumor contrast enhancement were shown to be useful CT imaging features in discriminating CMFP from PDAC.

Keywords: pancreas, adenocarcinoma, pancreatitis, computed tomography
 

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