BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
9/16/2014 3:23:00 PM | Browse: 1336 | Download: 1366
 |
Received |
|
2012-10-27 15:31 |
 |
Peer-Review Started |
|
2012-10-28 17:33 |
 |
First Decision by Editorial Office Director |
|
|
 |
Return for Revision |
|
2012-11-22 09:06 |
 |
Revised |
|
2012-12-20 07:07 |
 |
Publication Fee Transferred |
|
|
 |
Second Decision by Editor |
|
2013-01-12 17:15 |
 |
Second Decision by Editor-in-Chief |
|
|
 |
Final Decision by Editorial Office Director |
|
2013-01-13 02:46 |
 |
Articles in Press |
|
|
 |
Edit the Manuscript by Language Editor |
|
|
 |
Typeset the Manuscript |
|
2013-03-24 17:58 |
 |
Publish the Manuscript Online |
|
2013-03-30 11:26 |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Autobiography |
| Article Title |
Endoscopic submucosal dissection for the treatment of neoplastic lesions in the gastrointestinal tract
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Andrzej Białek, Anna Wiechowska-Kozłowska, Jan Pertkiewicz, Katarzyna Karpińska, Wojciech Marlicz, Piotr Milkiewicz and Teresa Starzyńska |
| Funding Agency and Grant Number |
|
| Corresponding Author |
Andrzej Bialek, MD, Gastroenterology Department, Pomeranian Medical University, ul. Unii Lubelskiej 1, 71-242 Szczecin, Poland. bialekab@pam.szczecin.pl |
| Key Words |
Endoscopic submucosal dissection; Gastrointestinal neoplasms; Gastrointestinal stromal tumors; Treatment |
| Core Tip |
|
| Publish Date |
2013-03-30 11:26 |
| Citation |
Białek A, Wiechowska-Kozłowska A, Pertkiewicz J, Karpińska K, Marlicz W, Milkiewicz P, Starzyńska T. Endoscopic submucosal dissection for the treatment of neoplastic lesions in the gastrointestinal tract. World J Gastroenterol 2013; 19(12): 1953-1961 |
| URL |
http://www.wjgnet.com/1007-9327/full/v19/i12/1953.htm |
| DOI |
http://dx.doi.org/10.3748/wjg.v19.i12.1953 |
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.