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Articles Published Processes
3/25/2025 4:18:32 PM | Browse: 11 | Download: 36
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Received |
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2024-10-21 06:31 |
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Peer-Review Started |
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2024-10-21 06:32 |
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To Make the First Decision |
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Return for Revision |
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2025-01-11 09:57 |
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Revised |
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2025-01-20 16:12 |
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Second Decision |
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2025-01-22 02:32 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-01-22 08:23 |
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Articles in Press |
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2025-01-22 08:23 |
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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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2025-03-07 07:22 |
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Publish the Manuscript Online |
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2025-03-25 16:18 |
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) 2024. 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 |
Editorial |
Article Title |
Precision medicine in the prediction of metachronous liver metastasis in rectal cancer: Applications and challenges
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Manuscript Source |
Invited Manuscript |
All Author List |
Xu-Xing Ye, Hui-Heng Qu, Chao Yang, Wei-Jun Teng, Yan-Ping Chen, Jun-Mei Lin and Xiao-Bo Wang |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Xiao-Bo Wang, PhD, The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, No. 548 Binwen Road, Binjiang District, Hangzhou 310000, Zhejiang Province, China. wxb2310@163.com |
Key Words |
Rectal cancer; Metachronous liver metastasis; Radiomics; Predictive modeling; Magnetic resonance imaging |
Core Tip |
Multimodal imaging techniques are capable of capturing morphological, metabolic, and physiological information of tumors, which aids in a deeper understanding of tumor heterogeneity. By integrating clinical, imaging, and biomarker data, the accuracy and precision of predictions can be enhanced, leading to a comprehensive understanding of tumor biology. Therefore, integrating expertise from oncology, radiology, imaging informatics, and machine learning can lead to the development of more accurate predictive models. Such interdisciplinary collaboration is crucial for advancing the field of cancer treatment. |
Publish Date |
2025-03-25 16:18 |
Citation |
<p>Ye XX, Qu HH, Yang C, Teng WJ, Chen YP, Lin JM, Wang XB. Precision medicine in the prediction of metachronous liver metastasis in rectal cancer: Applications and challenges. <i>World J Gastrointest Oncol</i> 2025; 17(4): 102469</p> |
URL |
https://www.wjgnet.com/1948-5204/full/v17/i4/102469.htm |
DOI |
https://dx.doi.org/10.4251/wjgo.v17.i4.102469 |
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