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Articles Published Processes
10/27/2023 10:13:19 AM | Browse: 160 | Download: 290
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Received |
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2023-08-16 08:58 |
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Peer-Review Started |
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2023-08-16 08:59 |
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To Make the First Decision |
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Return for Revision |
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2023-08-31 03:36 |
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Revised |
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2023-09-07 08:43 |
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Second Decision |
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2023-09-14 02:53 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2023-09-14 08:13 |
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Articles in Press |
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2023-09-14 08:13 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2023-09-27 07:11 |
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Publish the Manuscript Online |
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2023-10-27 10:13 |
| ISSN |
1948-9366 (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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2023. 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Predicting lymph node metastasis in colorectal cancer: An analysis of influencing factors to develop a risk model
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yun-Peng Lei, Qing-Zhi Song, Shuang Liu, Ji-Yan Xie and Guo-Qing Lv |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| “San Ming” Project of Shenzhen |
No. SZSM201612051 |
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| Corresponding Author |
Guo-Qing Lv, MD, MS, Attending Doctor, Department of Gastrointestinal Surgery, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Peking University Shenzhen Hospital, No. 120 Lianhua Road, Futian District, Shenzhen 518036, Guangdong Province, China. 365973269@qq.com |
| Key Words |
Colorectal cancer; Lymph node metastasis; Machine learning; Risk prediction model; Clinicopathological factors; Individualized treatment strategies |
| Core Tip |
This study developed a robust risk prediction model for lymph node metastasis (LNM) in colorectal cancer (CRC) using machine learning and clinicopathological factors. The model achieved high accuracy, sensitivity, and specificity, demonstrating its superior performance compared to existing models. By leveraging deep learning to extract information from tumor histology, the model improves LNM prediction, facilitating individualized treatment strategies and clinical decision-making in CRC. |
| Publish Date |
2023-10-27 10:13 |
| Citation |
Lei YP, Song QZ, Liu S, Xie JY, Lv GQ. Predicting lymph node metastasis in colorectal cancer: An analysis of influencing factors to develop a risk model. World J Gastrointest Surg 2023; 15(10): 2234-2246 |
| URL |
https://www.wjgnet.com/1948-9366/full/v15/i10/2234.htm |
| DOI |
https://dx.doi.org/10.4240/wjgs.v15.i10.2234 |
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