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Articles Published Processes
2/26/2026 10:19:33 AM | Browse: 45 | Download: 176
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Received |
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2025-10-10 08:32 |
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Peer-Review Started |
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2025-10-10 08:32 |
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First Decision by Editorial Office Director |
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2025-10-27 08:15 |
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Return for Revision |
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2025-10-27 08:15 |
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Revised |
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2025-11-05 15:22 |
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Publication Fee Transferred |
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2025-11-06 06:14 |
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Second Decision by Editor |
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2025-12-24 02:34 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-12-24 08:54 |
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Articles in Press |
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2025-12-24 08:54 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-02-05 06:57 |
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Publish the Manuscript Online |
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2026-02-26 10:19 |
| 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: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
Prediction of lymphovascular invasion in rectal cancer based on multimodal magnetic resonance imaging radiomics model
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Zheng-Hong Zhu, Yi Liang and Min Shi |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Key Science and Technology Project of Changhang Bureau in 2025 |
2025-CHKJ-014 |
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| Corresponding Author |
Min Shi, Department of Radiology, General Hospital of the Yangtze River Shipping, No. 5 Huiji Road, Jiang’an District, Wuhan 430010, Hubei Province, China. 15307154825@163.com |
| Key Words |
Rectal cancer; Lymphovascular invasion; Radiomics; Multimodal magnetic resonance imaging; Machine learning; Prediction model |
| Core Tip |
This study developed a machine learning model integrating multimodal magnetic resonance imaging radiomics features and clinical factors to predict lymphovascular invasion in rectal cancer before surgery. Using fat-suppressed T2-weighted imaging, diffusion-weighted imaging, and contrast-enhanced T1-weighted imaging, feature-level fusion achieved high predictive performance. The combined clinical-radiomics model demonstrated the best accuracy (area under the curve = 0.867), offering a noninvasive, quantitative tool to guide individualized treatment planning. |
| Publish Date |
2026-02-26 10:19 |
| Citation |
Zhu ZH, Liang Y, Shi M. Prediction of lymphovascular invasion in rectal cancer based on multimodal magnetic resonance imaging radiomics model. World J Gastrointest Surg 2026; 18(2): 113021 |
| URL |
https://www.wjgnet.com/1948-9366/full/v18/i2/113021.htm |
| DOI |
https://dx.doi.org/10.4240/wjgs.v18.i2.113021 |
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