A Case of Choledochocele Unclassifiable by SarrisÃ¢ÂÂs Classification Characterized by the Serial Images of Endoscopic Retrograde Cholangiopancreatography [ERCP]
Department of Internal Medicine, Shiogama City Hospital, Shiogama, Japan
- *Corresponding Author:
- Kenji Sasaki
Department of Internal Medicine, Shiogama City Hospital
7-1, Kouzumachi, Shiogama, Miyagi, 985-0054, Japan
E-mail: [email protected]
Received date: September 09, 2014; Accepted date: October 20, 2014; Published date: October 27, 2014
Citation: Sasaki K (2014) A Case of Choledochocele Unclassifiable by Sarris’s Classification Characterized by the Serial Images of Endoscopic Retrograde Cholangiopancreatography [ERCP]. J Gastrointest Dig Syst 4:234. doi:10.4172/2161-069X.1000234
Copyright: © 2014 Sasaki K, This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
A 74-year-old Japanese housewife was shown to have a large, smooth-surfaced, protruding, subpedunculated tumor covered with the normal-appearing mucosa on the posteromedial wall of the mid descending part of the duodenum immediately oral to the papilla of Vater by endoscopy. ERCP demonstrated the normal main and accessory pancreatic ducts. Just after abruptly contracted, the terminal common bile duct [CBD] showed a piriform dilatation correspondent to the duodenal tumor and tapered off to drain into the duodenal lumen without forming a common channel but through the same papillary orifice with the main pancreatic duct [MPD]. She was diagnosed with choledochocele unclassifiable by Sarris’s categorization. Even fully distended by infusion of contrast medium, the cyst did not compress the MPD. Remaining asymptomatic, the lesion was left untreated. She has kept an uneventful course for 4 years ever since. It is important to characterize the topographic relationships of the cyst among the surrounding structures in order to definitely classify the anomaly and to predict development of probable complications by analyzing the serial images of ERCP.