Chapter title |
Endoscopic Submucosal Dissection for Early Gastric Cancer: Getting It Right!
|
---|---|
Chapter number | 15 |
Book title |
Stem Cells, Pre-neoplasia, and Early Cancer of the Upper Gastrointestinal Tract
|
Published in |
Advances in experimental medicine and biology, August 2016
|
DOI | 10.1007/978-3-319-41388-4_15 |
Pubmed ID | |
Book ISBNs |
978-3-31-941386-0, 978-3-31-941388-4
|
Authors |
Ichiro Oda M.D., Harushisa Suzuki, Shigetaka Yoshinaga, Ichiro Oda |
Editors |
Marnix Jansen, Nicholas A. Wright |
Abstract |
Endoscopic resection is a widely accepted less-invasive treatment technique for local resection of early gastric cancer (EGC) lesions with a negligible risk of lymph node metastasis. Remarkable progress has been made during the last decade in this field, both in terms of expansion of the indications (to larger lesions and to lesions with ulceration) and in terms of technical improvements from endoscopic mucosal resection (EMR) to endoscopic submucosal dissection (ESD). Previously, larger lesions and lesions with ulceration were resected surgically because of the difficulty in effectively using EMR in this context. ESD however allows a high rate of en bloc resections, regardless of tumor location, tumor size, or the presence of ulceration. Nonetheless, ESD also has drawbacks: the procedure time is increased, ESD is more technically challenging compared to EMR, and, finally, ESD is associated with a slightly higher risk of complications. In order to overcome these limitations and minimize complications, a step-by-step process is important for learning ESD techniques. This chapter addresses the indications, results, some technical tips, and complications of ESD for EGC. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 11% |
Professor > Associate Professor | 2 | 11% |
Student > Doctoral Student | 1 | 6% |
Student > Bachelor | 1 | 6% |
Other | 1 | 6% |
Other | 4 | 22% |
Unknown | 7 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 39% |
Computer Science | 1 | 6% |
Chemical Engineering | 1 | 6% |
Social Sciences | 1 | 6% |
Psychology | 1 | 6% |
Other | 0 | 0% |
Unknown | 7 | 39% |