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Articles Published Processes
10/14/2025 7:42:35 AM | Browse: 23 | Download: 124
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Received |
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2025-07-18 03:14 |
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Peer-Review Started |
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2025-07-18 03:14 |
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To Make the First Decision |
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Return for Revision |
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2025-07-22 08:26 |
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Revised |
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2025-08-06 07:22 |
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Second Decision |
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2025-09-04 02:48 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-09-04 06:57 |
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Articles in Press |
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2025-09-04 06:57 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2025-09-05 03:18 |
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Typeset the Manuscript |
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2025-09-25 01:34 |
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Publish the Manuscript Online |
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2025-10-14 07:42 |
| ISSN |
1948-5204 (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 |
Retrospective Study |
| Article Title |
Predictive model based on magnetic resonance imaging for chemotherapy response in colorectal cancer patients with gene mutations
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Wen-Yan Kang, Wen-Ming Deng, Xiao-Qin Ye, Yi-Hong Zhong, Xiao-Jun Li, Ling-Ling Feng and De-Hong Luo |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Shenzhen High-level Hospital Construction Fund |
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| Corresponding Author |
De-Hong Luo, Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 113 Baohe Avenue, Longgang District, Shenzhen 518116, Guangdong Province, China. luodehong2024@163.com |
| Key Words |
Colorectal cancer; RAS gene mutation; Multiparametric magnetic resonance imaging; Chemotherapy; Predictive model |
| Core Tip |
This study pioneers a multiparametric magnetic resonance imaging (MRI)-based predictive model tailored for colorectal cancer patients with gene mutations (e.g., KRAS, NRAS, BRAF) to evaluate chemotherapy efficacy. By integrating tumor differentiation, T2 signal intensity ratio, tumor-to-anal margin distance, and MRI-detected lymph node metastasis, the model achieved high accuracy (area under the receiver operating characteristic curve > 0.93) in both training and validation sets, offering a non-invasive tool for personalized treatment planning. |
| Publish Date |
2025-10-14 07:42 |
| Citation |
<p>Kang WY, Deng WM, Ye XQ, Zhong YH, Li XJ, Feng LL, Luo DH. Predictive model based on magnetic resonance imaging for chemotherapy response in colorectal cancer patients with gene mutations. <i>World J Gastrointest Oncol</i> 2025; 17(10): 111971</p> |
| URL |
https://www.wjgnet.com/1948-5204/full/v17/i10/111971.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v17.i10.111971 |
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