Meckel’s diverticulum diagnosis by video capsule endoscopy: A case report and review of literature

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 6, Issue 14

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 Clinical Cases

ISSN

2307-8960

Publisher of This Article

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

Case Report

World J Clin Cases. Nov 26, 2018; 6(14): 791-799
Published online Nov 26, 2018. doi: 10.12998/wjcc.v6.i14.791

Table 2 Endoscopic patterns by video capsule endoscopy of 22 patients with surgically-confirmed Meckel’s diverticulum

Feature	n (%)
Double lumen	15 (68.8)
Double lumen with ulcers	9 (41)
Double lumen without ulcers	6 (27.2)
Polypoid structure (true polyp or diverticular eversion)	4 (18)
Stenotic lumen with ulcer	3 (13.6)

Citation: García-Compeán D, Jiménez-Rodríguez AR, Del Cueto-Aguilera ÁN, Herrera-Quiñones G, González-González JA, Maldonado-Garza HJ. Meckel’s diverticulum diagnosis by video capsule endoscopy: A case report and review of literature. World J Clin Cases 2018; 6(14): 791-799
URL: https://www.wjgnet.com/2307-8960/full/v6/i14/791.htm
DOI: https://dx.doi.org/10.12998/wjcc.v6.i14.791

García-Compeán D, Jiménez-Rodríguez AR, Del Cueto-Aguilera ÁN, Herrera-Quiñones G, González-González JA, Maldonado-Garza HJ. Meckel’s diverticulum diagnosis by video capsule endoscopy: A case report and review of literature. World J Clin Cases 2018; 6(14): 791-799 [PMID: 30510945 DOI: 10.12998/wjcc.v6.i14.791]

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.