Brief Article
Copyright ©2013 Baishideng Publishing Group Co., Limited. All rights reserved.
World J Gastroenterol. Jun 21, 2013; 19(23): 3634-3641
Published online Jun 21, 2013. doi: 10.3748/wjg.v19.i23.3634
Focal autoimmune pancreatitis: Radiological characteristics help to distinguish from pancreatic cancer
Gao-Feng Sun, Chang-Jing Zuo, Cheng-Wei Shao, Jian-Hua Wang, Jian Zhang
Gao-Feng Sun, Chang-Jing Zuo, Cheng-Wei Shao, Jian-Hua Wang, Jian Zhang, Department of Radiology, Changhai Hospital, the Second Military Medical University, Shanghai 200433, China
Author contributions: Sun GF and Zuo CJ contributed equally to this work; Sun GF and Zuo CJ designed the experiment, acquired, analyzed and interpreted the data, and drafted the article; Shao CW designed the experiment, analyzed and interpreted the data, revised the article, and approved the version to be published; Wang JH and Zhang J acquired, analyzed and interpreted the data, and revised the article.
Supported by National Nature Science Foundation of China No. 30970801; National Nature Science Foundation of China, No. 81170435; the China Post-doctoral Science Foundation, No. 20100480545; and the Shanghai Leading Talent Team Construction Special Funds, No. 2011-036
Correspondence to: Cheng-Wei Shao, MD, Department of Radiology, Changhai Hospital, the Second Military Medical University, 168 Changhai Road, Shanghai 200433, China. cwshao@sina.com
Telephone: +86-21-81874178 Fax: +86-21-31162238
Received: February 2, 2013
Revised: April 12, 2013
Accepted: May 18, 2013
Published online: June 21, 2013
Abstract

AIM: To identify the radiological characteristics of focal autoimmune pancreatitis (f-AIP) useful for differentiation from pancreatic cancer (PC).

METHODS: Magnetic resonance imaging (MRI) and triple-phase computed tomography (CT) scans of 79 patients (19 with f-AIP, 30 with PC, and 30 with a normal pancreas) were evaluated retrospectively. A radiologist measured the CT attenuation of the pancreatic parenchyma, the f-AIP and PC lesions in triple phases. The mean CT attenuation values of the f-AIP lesions were compared with those of PC, and the mean CT attenuation values of pancreatic parenchyma in the three groups were compared. The diagnostic performance of CT attenuation changes from arterial phase to hepatic phase in the differentiation between f-AIP and PC was evaluated using receiver operating characteristic (ROC) curve analysis. We also investigated the incidence of previously reported radiological findings for differentiation between f-AIP and PC.

RESULTS: The mean CT attenuation values of f-AIP lesions in enhanced phases were significantly higher than those of PC (arterial phase: 60 ± 7 vs 48 ± 10, P < 0.05; pancreatic phase: 85 ± 6 vs 63 ± 15, P < 0.05; hepatic phase: 95 ± 7 vs 63 ± 13, P < 0.05). The mean CT attenuation values of f-AIP lesions were significantly lower those of uninvolved pancreas and normal pancreas in the arterial and pancreatic phase of CT (P < 0.001, P < 0.001), with no significant difference at the hepatic phase or unenhanced scanning (P = 0.4, P = 0.1). When the attenuation value increase was equal or more than 28 HU this was considered diagnostic for f-AIP, and a sensitivity of 87.5%, specificity of 100% and an area under the ROC curve of 0.974 (95%CI: 0.928-1.021) were achieved. Five findings were more frequently observed in f-AIP patients: (1) sausage-shaped enlargement; (2) delayed homogeneous enhancement; (3) hypoattenuating capsule-like rim; (4) irregular narrowing of the main pancreatic duct (MPD) and/or stricture of the common bile duct (CBD); and (5) MPD upstream dilation ≤ 5 mm.

CONCLUSION: Analysis of a combination of CT and MRI findings could improve the diagnostic accuracy of differentiating f-AIP from PC.

Keywords: Focal autoimmune pancreatitis, Pancreatic cancer, Computer tomography, Magnetic resonance imaging, Magnetic resonance cholangiopancreatography

Core tip: At present, focal autoimmune pancreatitis (f-AIP) is still very difficult to differentiate from pancreatic cancer (PC). In this study, we compared the incidence of radiological features, investigated the differences in the triple-phase enhancement pattern of f-AIP and PC, and found that the combination analysis contributed to improve the diagnostic accuracy of f-AIP thus avoiding unnecessary surgery.