Anal carcinoma in giant anal condyloma, multidisciplinary approach necessary for optimal outcome: Two case reports and review of literature

doi:10.4251/wjgo.v11.i2.172

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 11, Issue 2

This Article

(286)

(278)

(0)

(11)

(3)

(7087)

(15)

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 Oncology

ISSN

1948-5204

Publisher of This Article

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

- Full Article with Cover (PDF)
- Full Article (XML)

Case Report

World J Gastrointest Oncol. Feb 15, 2019; 11(2): 172-180
Published online Feb 15, 2019. doi: 10.4251/wjgo.v11.i2.172

Full Size Figure Download Figure

Figure 1 Large anal condyloma arising from anus with the tumor extending into the left scrotal skin, left thigh crease and to the lower left inguinal area (case 1).

Citation: Shenoy S, Nittala M, Assaf Y. Anal carcinoma in giant anal condyloma, multidisciplinary approach necessary for optimal outcome: Two case reports and review of literature. World J Gastrointest Oncol 2019; 11(2): 172-180
URL: https://www.wjgnet.com/1948-5204/full/v11/i2/172.htm
DOI: https://dx.doi.org/10.4251/wjgo.v11.i2.172

Shenoy S, Nittala M, Assaf Y. Anal carcinoma in giant anal condyloma, multidisciplinary approach necessary for optimal outcome: Two case reports and review of literature. World J Gastrointest Oncol 2019; 11(2): 172-180 [PMID: 30788043 DOI: 10.4251/wjgo.v11.i2.172]

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.