BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
1/20/2015 9:10:00 PM | Browse: 1111 | Download: 1586
 |
Received |
|
2014-06-05 08:36 |
 |
Peer-Review Started |
|
2014-06-05 19:03 |
 |
To Make the First Decision |
|
2014-07-09 12:13 |
 |
Return for Revision |
|
2014-07-14 08:34 |
 |
Revised |
|
2014-07-30 00:00 |
 |
Second Decision |
|
2014-09-19 09:07 |
 |
Accepted by Journal Editor-in-Chief |
|
|
 |
Accepted by Executive Editor-in-Chief |
|
2014-09-19 09:55 |
 |
Articles in Press |
|
2014-09-19 10:30 |
 |
Publication Fee Transferred |
|
|
 |
Edit the Manuscript by Language Editor |
|
2014-09-28 21:03 |
 |
Typeset the Manuscript |
|
2015-01-07 17:48 |
 |
Publish the Manuscript Online |
|
2015-01-20 20:12 |
ISSN |
1007-9327 (print) and 2219-2840 (online) |
Open Access |
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2015. Published by Baishideng Publishing Group Inc. All rights reserved.
|
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Gastroenterology & Hepatology |
Manuscript Type |
Observational Study |
Article Title |
Accuracy of routine multidetector computed tomography in identifying arterial variants in patients scheduled for pancreaticoduodenectomy
|
Manuscript Source |
Unsolicited Manuscript |
All Author List |
Feng Yang, Yang Di, Ji Li, Xiao-Yi Wang, Lie Yao, Si-Jie Hao, Yong-Jian Jiang, Chen Jin and De-Liang Fu |
Funding Agency and Grant Number |
Funding Agency |
Grant Number |
New Outstanding Youth Program of Shanghai Municipal Health Bureau |
XYQ2013090 |
Shanghai Young Physician Training Program and the Zhuo-Xue Project of Fudan University |
|
key Project of Oncological Subject of the Ministry of Health of China 2012 |
|
|
Corresponding Author |
De-Liang Fu, Professor, Pancreatic Disease Institute, Huashan Hospital, 12 Central Urumqi Road, Shanghai 200040, China. surgeonfu@163.com |
Key Words |
Pancreaticoduodenectomy; Aberrant hepatic artery; Celiac artery stenosis; Multidetector computed tomography; Angiography |
Core Tip |
Few studies have previously investigated the ability of routine multidetector computed tomography (CT) scan without arterial reconstruction, which is commonplace in usual medical practice, in the assessment of peri-pancreatic arterial variants such as aberrant right hepatic artery and celiac artery stenosis prior to pancreaticoduodenectomy. This study demonstrates that routine multidetector CT scan is useful for evaluation of aberrant right hepatic artery in the preoperative planning of pancreatic surgery, although it is limited by lower sensitivity for evaluating celiac artery stenosis. It is recommended that surgeons and radiologists be alerted to the importance of arterial variants on preoperative CT scans in patients scheduled for pancreaticoduodenectomy. |
Publish Date |
2015-01-20 20:12 |
Citation |
Yang F, Di Y, Li J, Wang XY, Yao L, Hao SJ, Jiang YJ, Jin C, Fu DL. Accuracy of routine multidetector computed tomography to identify arterial variants in patients scheduled for pancreaticoduodenectomy. World J Gastroenterol 2015; 21(3): 969-976 |
URL |
http://www.wjgnet.com/1007-9327/full/v21/i3/969.htm |
DOI |
http://dx.doi.org/10.3748/wjg.v21.i3.969 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345