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Articles Published Processes
7/13/2026 9:40:36 AM | Browse: 2 | Download: 0
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Received |
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2026-02-27 09:03 |
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Peer-Review Started |
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2026-02-27 09:03 |
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First Decision by Editorial Office Director |
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2026-03-12 07:55 |
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Return for Revision |
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2026-03-12 07:55 |
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Revised |
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2026-04-10 06:29 |
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Publication Fee Transferred |
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2026-04-14 11:10 |
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Second Decision by Editor |
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2026-04-24 02:36 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-04-24 09:51 |
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Articles in Press |
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2026-04-24 09:51 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-06-24 05:42 |
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Publish the Manuscript Online |
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2026-07-13 09:40 |
| ISSN |
1948-5204 (online) |
| Open Access |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
Development and clinical application of an ultrasound-based deep learning model for preoperative staging of colorectal cancer
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Jing Zhao, Li-Juan Du, Ying Liu, Dan-Dan Zhu, Hui-Qing Wang, Ming-Kui Shen, Ling-Yue Wang and Hai-Yan Wang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Henan Provincial Department of Science and Technology, specifically the “Construction and Clinical Application of a Deep Learning Model for Preoperative Staging of Colorectal Cancer Based on Ultrasound Image Diagnosis” |
No. 252102310334 |
| Henan Provincial Charity Federation Daojian Foundation Research Project, “Constructing a Machine Learning Model Based on Ultrasound Elastography to Predict Perioperative Muscle Morphology in Meige Syndrome” |
No. SZSYKY24009 |
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| Corresponding Author |
Hai-Yan Wang, Chief Physician, Department of Ultrasound, The Third People’s Hospital of Henan Province, No. 198 Longhai Road, Zhongyuan District, Zhengzhou 450000, Henan Province, China. 18837167006@163.com |
| Key Words |
Colorectal cancer; Ultrasonic image; Deep learning; Preoperative staging; Tumor node metastasis |
| Core Tip |
This study proposes an ultrasound-based deep learning model for preoperative tumor node metastasis staging of colorectal cancer (CRC). The model demonstrates strong diagnostic performance for T and N staging and provides clear clinical net benefits, providing an objective artificial intelligence-based tool for accurate preoperative staging of CRC. |
| Publish Date |
2026-07-13 09:40 |
| Citation |
Zhao J, Du LJ, Liu Y, Zhu DD, Wang HQ, Shen MK, Wang LY, Wang HY. Development and clinical application of an ultrasound-based deep learning model for preoperative staging of colorectal cancer. World J Gastrointest Oncol 2026; 18(7): 120437
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| URL |
https://www.wjgnet.com/1948-5204/full/v18/i7/120437.htm |
| DOI |
https://doi.org/10.4251/wjgo.120437 |
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