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Publication Name World Journal of Gastrointestinal Endoscopy
Manuscript ID 127148
Country United Kingdom
Received
2026-08-24 11:00
Peer-Review Started
2026-08-24 11:00
First Decision by Editorial Office Director
Return for Revision
2026-09-14 02:36
Revised
2026-09-27 21:55
Publication Fee Transferred
Second Decision by Editor
2026-10-13 06:01
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-10-13 10:35
Articles in Press
2026-10-13 10:35
Edit the Manuscript by Language Editor
Typeset the Manuscript
2026-10-14 01:13
Publish the Manuscript Online
2026-10-14 05:53
ISSN 1948-5190 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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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 Minireviews
Article Title Advances in endoscopic ultrasound for autoimmune pancreatitis: Tissue acquisition, imaging innovations, artificial intelligence, and multidisciplinary integrations
Manuscript Source Invited Manuscript
All Author List Ioannis Braimakis, Waleed Fateen, Noor LH Bekkali, Adam Bailey and Emma L Culver
ORCID
Author(s) ORCID Number
Ioannis Braimakis http://orcid.org/0000-0002-5493-7152
Noor LH Bekkali http://orcid.org/0009-0004-1405-1084
Adam Bailey http://orcid.org/0000-0002-8371-2147
Emma L Culver http://orcid.org/0000-0001-9644-8392
Funding Agency and Grant Number
Corresponding Author Ioannis Braimakis, Translational Gastroenterology and Liver Unit, John Radcliffe Hospital, Oxford University Hospitals, Headley Way, Headington, Oxford OX39DU, Oxfordshire, United Kingdom. giannis_br@hotmail.com
Key Words Autoimmune pancreatitis type 1; Autoimmune pancreatitis type 2; Endoscopic ultrasound; Immunoglobulin G subclass 4-related disease; Artificial intelligence
Core Tip Endoscopic ultrasound (EUS) is central to the diagnostic work-up of autoimmune pancreatitis, particularly in patients with focal pancreatic enlargement or mass-like lesions. Advances in EUS imaging and EUS-guided fine-needle biopsy using end-cutting needles may improve lesion characterisation and diagnostic accuracy by preserving tissue architecture. Artificial intelligence has the potential to further enhance EUS interpretation and reduce interobserver variability. Given the diagnostic complexity and need to exclude malignancy, multidisciplinary collaboration is valuable for integrating imaging, histology, serology and clinical findings and for guiding subsequent correct diagnosis and management.
Publish Date 2026-10-14 05:53
Citation

Braimakis I, Fateen W, Bekkali NL, Bailey A, Culver EL. Advances in endoscopic ultrasound for autoimmune pancreatitis: Tissue acquisition, imaging innovations, artificial intelligence, and multidisciplinary integrations. World J Gastrointest Endosc 2026; 18(10): 127148

URL https://www.wjgnet.com/1948-5190/full/v18/i10/127148.htm
DOI https://doi.org/10.4253/wjge.127148
Full Article (PDF) WJGE-18-127148-with-cover.pdf
Manuscript File 127148_Auto_Edited_011425.docx
Answering Reviewers 127148-answering-reviewers.pdf
Audio Core Tip 127148-audio.mp3
Conflict-of-Interest Disclosure Form 127148-conflict-of-interest-statement.pdf
Copyright License Agreement 127148-copyright-assignment.pdf
Peer-review Report 127148-peer-reviews.pdf
Scientific Misconduct Check 127148-scientific-misconduct-check.png
CrossCheck Report 127148-crosscheck-report.pdf