Unusually rapid growth of a duodenal muco-submucosal elongated polyp: A case report

doi:10.4240/wjgs.v17.i10.111943

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 17, Issue 10

This Article

(36)

(43)

(0)

(6)

(688)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Gastrointestinal Surgery

ISSN

1948-9366

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Case Report

World J Gastrointest Surg. Oct 27, 2025; 17(10): 111943
Published online Oct 27, 2025. doi: 10.4240/wjgs.v17.i10.111943

Full Size Figure Download Figure

Figure 3 Histological section (hematoxylin and eosin staining). A: Low-power view demonstrating the overall architecture of the polyp; B: Higher magnification highlighting architecturally normal small intestinal mucosa (black arrows) overlying a core of submucosa containing abundant adipose tissue (blue arrows) with submucosal vessels (green arrows). No significant inflammation is seen.

Citation: Yang Y, Zhong DF. Unusually rapid growth of a duodenal muco-submucosal elongated polyp: A case report. World J Gastrointest Surg 2025; 17(10): 111943
URL: https://www.wjgnet.com/1948-9366/full/v17/i10/111943.htm
DOI: https://dx.doi.org/10.4240/wjgs.v17.i10.111943

Yang Y, Zhong DF. Unusually rapid growth of a duodenal muco-submucosal elongated polyp: A case report. World J Gastrointest Surg 2025; 17(10): 111943 [PMID: 41178865 DOI: 10.4240/wjgs.v17.i10.111943]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.