Publication Name	World Journal of Gastrointestinal Surgery
Manuscript ID	113021
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Retrospective Study
Article Title	Prediction of lymphovascular invasion in rectal cancer based on multimodal magnetic resonance imaging radiomics model
Manuscript Source	Unsolicited Manuscript
All Author List	Zheng-Hong Zhu, Yi Liang and Min Shi
Funding Agency and Grant Number	Funding Agency Grant Number Key Science and Technology Project of Changhang Bureau in 2025 2025-CHKJ-014
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.
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 2025; In press

Received	2025-10-10 08:32
Peer-Review Started	2025-10-10 08:32
First Decision by Editorial Office Director	2025-10-27 08:15
Return for Revision	2025-10-27 08:15
Revised	2025-11-05 15:22
Publication Fee Transferred	2025-11-06 06:14
Second Decision by Editor	2025-12-24 02:34
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2025-12-24 08:54
Articles in Press	2025-12-24 08:54
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-9366 (online)
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