BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
11/12/2026 3:43:58 AM | Browse: 1 | Download: 0
Publication Name World Journal of Gastrointestinal Surgery
Manuscript ID 125793
Country Germany
Received
2026-07-17 07:17
Peer-Review Started
2026-07-17 07:18
First Decision by Editorial Office Director
Return for Revision
2026-07-28 10:48
Revised
2026-08-11 07:35
Publication Fee Transferred
Second Decision by Editor
2026-10-20 02:37
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-10-20 09:45
Articles in Press
2026-10-20 09:45
Edit the Manuscript by Language Editor
Typeset the Manuscript
2026-10-30 15:27
Publish the Manuscript Online
2026-11-12 03:43
ISSN 1948-9366 (online)
Open Access Open-Access: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Copyright ©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Gastroenterology & Hepatology
Manuscript Type Observational Study
Article Title Imaging-independent model for predicting choledocholithiasis in acute biliary pancreatitis
Manuscript Source Unsolicited Manuscript
All Author List Simon Sirtl, Arlett Patricia Gloria Schäfer, Katharina Bretthauer, Eric Hohmann, Mali Junge, Mahmood Ahmad, Jakob Vielhauer, Anna Hausdorf, Max O Hubert, Raul Velamazán, Ughur Aghamaliyev, Jörg Schirra, Christian Schulz, Michal Żorniak, Georg Beyer, Ujjwal M Mahajan, Julia Mayerle and Hans C Stubbe
ORCID
Author(s) ORCID Number
Simon Sirtl http://orcid.org/0000-0002-6047-334X
Arlett Patricia Gloria Schäfer http://orcid.org/0000-0002-8010-594X
Julia Mayerle http://orcid.org/0000-0002-3666-6459
Funding Agency and Grant Number
Corresponding Author Simon Sirtl, MD, Department of Medicine II, LMU University Hospital, Marchioninistraße 15, Munich 81377, Bavaria, Germany. simon.sirtl@med.uni-muenchen.de
Key Words Acute pancreatitis; Biliary pancreatitis; Gallstone pancreatitis; Choledocholithiasis; Machine learning
Core Tip We developed an imaging-independent prediction model for choledocholithiasis in acute biliary pancreatitis using only routinely available admission clinical and laboratory variables. Unlike existing approaches, the model intentionally excluded common bile duct diameter to avoid observer-dependent imaging variability. It achieved high sensitivity and a low false rule-out rate, supporting its potential role as an early triage tool. Although not suitable as a stand-alone indication for endoscopic retrograde cholangiopancreatography, it may help prioritize further diagnostic evaluation, especially where endoscopic ultrasound is not readily available.
Publish Date 2026-11-12 03:43
Citation

Sirtl S, Schäfer APG, Bretthauer K, Hohmann E, Junge M, Ahmad M, Vielhauer J, Hausdorf A, Hubert MO, Velamazán R, Aghamaliyev U, Schirra J, Schulz C, Żorniak M, Beyer G, Mahajan UM, Mayerle J, Stubbe HC. Imaging-independent model for predicting choledocholithiasis in acute biliary pancreatitis. World J Gastrointest Surg 2026; 18(11): 125793
URL https://www.wjgnet.com/1948-9366/full/v18/i11/125793.htm
DOI https://doi.org/10.4240/wjgs.125793
Full Article (PDF) WJGS-18-125793-with-cover.pdf
Write to the Help Desk
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.