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Articles Published Processes
9/4/2020 7:25:49 AM | Browse: 743 | Download: 1835
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Received |
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2020-05-27 15:53 |
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Peer-Review Started |
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2020-05-27 15:54 |
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To Make the First Decision |
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Return for Revision |
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2020-06-04 02:14 |
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Revised |
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2020-06-16 02:58 |
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Second Decision |
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2020-08-12 11:43 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2020-08-12 19:00 |
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Articles in Press |
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2020-08-12 19:00 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2020-08-17 13:50 |
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Typeset the Manuscript |
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2020-08-31 01:20 |
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Publish the Manuscript Online |
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2020-09-04 07:25 |
| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This article 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 NonCommercial (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) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Oncology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Radiomics of rectal cancer for predicting distant metastasis and overall survival
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Mou Li, Yu-Zhou Zhu, Yong-Chang Zhang, Yu-Feng Yue, Hao-Peng Yu and Bin Song |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Bin Song, MD, PhD, Chief Doctor, Professor, Department of Radiology, West China Hospital of Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, Sichuan Province, China. songlab_radiology@163.com |
| Key Words |
Radiomics; Rectal cancer; Overall survival; Distant metastasis; Computed tomography; |
| Core Tip |
We developed and validated a combined model that incorporated radiomic features and clinical factors. This model showed excellent potential for predicting distant metastasis of rectal cancer (RC) within three years after surgery. We used this model to stratify the patients with RC into low-risk and high-risk groups for the survival analysis. Overall survival rates between the low-risk and high-risk groups were significantly different. This model may aid in individualized prediction of distant metastasis and 3-year overall survival in patients with RC. |
| Publish Date |
2020-09-04 07:25 |
| Citation |
Li M, Zhu YZ, Zhang YC, Yue YF, Yu HP, Song B. Radiomics of rectal cancer for predicting distant metastasis and overall survival. World J Gastroenterol 2020; 26(33): 5008-5021 |
| URL |
https://www.wjgnet.com/1007-9327/full/v26/i33/5008.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v26.i33.5008 |
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