Publication Name	World Journal of Gastrointestinal Oncology
Manuscript ID	111971
Country	China

Category	Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type	Retrospective Study
Article Title	Predictive model based on magnetic resonance imaging for chemotherapy response in colorectal cancer patients with gene mutations
Manuscript Source	Unsolicited Manuscript
All Author List	Wen-Yan Kang, Wen-Ming Deng, Xiao-Qin Ye, Yi-Hong Zhong, Xiao-Jun Li, Ling-Ling Feng and De-Hong Luo
Funding Agency and Grant Number	Funding Agency Grant Number Shenzhen High-level Hospital Construction Fund
Corresponding Author	De-Hong Luo, Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 113 Baohe Avenue, Longgang District, Shenzhen 518116, Guangdong Province, China. luodehong2024@163.com
Key Words	Colorectal cancer; RAS gene mutation; Multiparametric magnetic resonance imaging; Chemotherapy; Predictive model
Core Tip	This study pioneers a multiparametric magnetic resonance imaging (MRI)-based predictive model tailored for colorectal cancer patients with gene mutations (e.g., KRAS, NRAS, BRAF) to evaluate chemotherapy efficacy. By integrating tumor differentiation, T2 signal intensity ratio, tumor-to-anal margin distance, and MRI-detected lymph node metastasis, the model achieved high accuracy (area under the receiver operating characteristic curve > 0.93) in both training and validation sets, offering a non-invasive tool for personalized treatment planning.
Citation	Kang WY, Deng WM, Ye XQ, Zhong YH, Li XJ, Feng LL, Luo DH. Predictive model based on magnetic resonance imaging for chemotherapy response in colorectal cancer patients with gene mutations. World J Gastrointest Oncol 2025; In press

Received	2025-07-18 03:14
Peer-Review Started	2025-07-18 03:14
To Make the First Decision
Return for Revision	2025-07-22 08:26
Revised	2025-08-06 07:22
Second Decision	2025-09-04 02:48
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-09-04 06:57
Articles in Press	2025-09-04 06:57
Publication Fee Transferred
Edit the Manuscript by Language Editor	2025-09-05 03:18
Typeset the Manuscript

ISSN	1948-5204 (online)
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