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Cited by 517

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Endoscopic Mucosal Resection for Early Cancers of the Upper Gastrointestinal Tract

Soetikno, Roy, Kaltenbach, Tonya, Yeh, Ronald, Gotoda, Takuji·2005·Journal of Clinical Oncology

Abstract

The purpose of this literature review is to examine recent advances in technique and technology of endoscopic mucosal resection of superficial early cancers of the upper gastrointestinal tract. Endoscopic mucosal resection (EMR) of superficial early cancers of the upper gastrointestinal tract is standard technique in Japan and is increasingly used in Western countries. Newer techniques of EMR allow removal of larger lesions en-bloc. These minimally invasive techniques, when applied correctly, allow safe and efficacious treatment in situations that would otherwise require major surgery. Through the establishment of long-term outcomes data, standardization of endoscopic and pathologic reporting, and newer EMR technology and techniques, the future treatment of early cancers in the upper gastrointestinal tract may be achieved primarily through the endoscope.

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Registry

Crossref · 10.1200/jco.2005.19.935

Cites

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Metadata

Authors
Soetikno, R., Kaltenbach, T., Yeh, R., & Gotoda, T.
Venue
Journal of Clinical Oncology
Published
2005-07-10
Volume
23
Issue
20
Pages
4490-4498
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2104298340
Cited by
517
References
7
FWCI
17.51
Type
journal article
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: Endoscopic Mucosal Resection for Early Cancers of the Upper Gastrointestinal Tract. https://app.cochat.ai/papers/10.1200/jco.2005.19.935
The paper
Soetikno, R., Kaltenbach, T., Yeh, R., & Gotoda, T. (2005). Endoscopic Mucosal Resection for Early Cancers of the Upper Gastrointestinal Tract. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2005.19.935

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.