BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
10/28/2019 11:23:12 AM | Browse: 707 | Download: 1414
 |
Received |
|
2019-07-23 14:03 |
|
Peer-Review Started |
|
2019-07-23 14:03 |
|
To Make the First Decision |
|
2019-08-28 01:14 |
|
Return for Revision |
|
2019-08-29 00:18 |
|
Revised |
|
2019-09-17 12:43 |
|
Second Decision |
|
2019-09-26 10:42 |
 |
Accepted by Journal Editor-in-Chief |
|
|
|
Accepted by Company Editor-in-Chief |
|
2019-09-28 04:45 |
|
Articles in Press |
|
2019-09-28 04:45 |
|
Publication Fee Transferred |
|
|
|
Edit the Manuscript by Language Editor |
|
2019-10-07 03:21 |
|
Typeset the Manuscript |
|
2019-10-25 09:26 |
|
Publish the Manuscript Online |
|
2019-10-28 11:23 |
| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This is an open-access article that 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) 2019. 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 |
Retrospective Study |
| Article Title |
Apparent-diffusion-coefficient-based histogram analysis differentiates histological subtypes of periampullary adenocarcinoma
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Jing-Yu Lu, Hao Yu, Xian-Lun Zou, Zhen Li, Xue-Mei Hu, Ya-Qi Shen and Dao-Yu Hu |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China (NSFC) |
81701657 |
| National Natural Science Foundation of China (NSFC) |
81571642 |
| National Natural Science Foundation of China (NSFC) |
81801695 |
| National Natural Science Foundation of China (NSFC) |
81771801 |
| Fundamental Research Funds for the Central Universities |
2017KFYXJJ126 |
|
| Corresponding Author |
Ya-Qi Shen, MD, PhD, Doctor, Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan 430030, Hubei Province, China. yqshen@hust.edu.cn |
| Key Words |
Periampullary adenocarcinoma; Apparent diffusion coefficient; Histogram analysis; Histopathology; Differential diagnosis; |
| Core Tip |
Two subtypes of periampullary adenocarcinoma were investigated in present study, one is intestinal-type periampullary adenocarcinoma (IPAC)，the other is pancreatobiliary-type periampullary adenocarcinoma (PPAC). The aim of present study is to distinguish these two subtypes with volumetric apparent diffusion coefficient (ADC) histogram analysis. Forty pathologically confirmed patients were enrolled. The mean, max and various percentiles ADC values derived from b1000 were lower in the PPAC group than in the IPAC group with statistical significant. At last, the 75th percentile of ADC values achieved the highest area under the curve. |
| Publish Date |
2019-10-28 11:23 |
| Citation |
Lu JY, Yu H, Zou XL, Li Z, Hu XM, Shen YQ, Hu DY. Apparent-diffusion-coefficient-based histogram analysis differentiates histological subtypes of periampullary adenocarcinoma. World J Gastroenterol 2019; 25(40): 6116-6128 |
| URL |
https://www.wjgnet.com/1007-9327/full/v25/i40/6116.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v25.i40.6116 |
© 2004-2024 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
