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Articles Published Processes
1/21/2025 9:22:15 AM | Browse: 33 | Download: 72
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Received |
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2024-11-01 06:45 |
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Peer-Review Started |
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2024-11-01 06:45 |
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To Make the First Decision |
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Return for Revision |
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2024-12-10 09:59 |
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Revised |
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2024-12-18 16:38 |
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Second Decision |
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2025-01-06 02:40 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-01-07 11:29 |
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Articles in Press |
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2025-01-07 11:29 |
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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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2025-01-13 02:02 |
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Publish the Manuscript Online |
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2025-01-21 09:22 |
ISSN |
2218-4333 (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) 2025. 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 |
Radiology, Nuclear Medicine & Medical Imaging |
Manuscript Type |
Letter to the Editor |
Article Title |
Predicting preoperative lymph node metastasis in esophageal cancer: Advancement and challenges
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Xing-Yan Le, Jun-Bang Feng, Yi Guo, Yue-Qin Zhou and Chuan-Ming Li |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Chuan-Ming Li, MD, Professor, Department of Medical Imaging, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, No. 1 Jiankang Road, Yuzhong District, Chongqing 400014, China. lichuanming@hospital.cqmu.edu.cn |
Key Words |
Esophageal cancer; Radiomics; Lymph node metastasis; Nomogram; Machine learning; Computed tomography |
Core Tip |
The nomogram is very valuable for predicting preoperative lymph node metastasis in patients with esophageal cancer (EC), but current research still has limitations. Improving the study design and statistical analyses of the current research are crucial for assessing EC prognosis and developing personalized treatment plans. |
Publish Date |
2025-01-21 09:22 |
Citation |
<p>Le XY, Feng JB, Guo Y, Zhou YQ, Li CM. Predicting preoperative lymph node metastasis in esophageal cancer: Advancement and challenges. <i>World J Clin Oncol</i> 2025; 16(3): 102863</p> |
URL |
https://www.wjgnet.com/2218-4333/full/v16/i3/102863.htm |
DOI |
https://dx.doi.org/10.5306/wjco.v16.i3.102863 |
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