Publication Name	World Journal of Gastrointestinal Oncology
Manuscript ID	120437
Country	China

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
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
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
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.
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; In press

Received	2026-02-27 09:03
Peer-Review Started	2026-02-27 09:03
First Decision by Editorial Office Director	2026-03-12 07:55
Return for Revision	2026-03-12 07:55
Revised	2026-04-10 06:29
Publication Fee Transferred	2026-04-14 11:10
Second Decision by Editor	2026-04-24 02:36
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-04-24 09:51
Articles in Press	2026-04-24 09:51
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5204 (online)
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Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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