Publication Name	World Journal of Radiology
Manuscript ID	123597
DOI	10.4329/wjr.123597
Country	China

Category	Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type	Retrospective Study
Article Title	Deep learning fusion model based on multimodal magnetic resonance imaging habitat mapping for predicting the efficacy for cervical cancer
Manuscript Source	Unsolicited Manuscript
All Author List	Shu-Peng Wang, Zhi-Guo Chen, Xi-Jing Shan, Miao Jin, Wei Zhao, Xu Tong and Xin Meng
Funding Agency and Grant Number
Corresponding Author	Xin Meng, Chief Physician, Department of MRI, The Third Affiliated Hospital of Qiqihar Medical University, No. 3 Taishun Street, Tiefeng District, Qiqihar 161002, Heilongjiang Province, China. 8203717@qq.com
Key Words	Cervical cancer; Magnetic resonance imaging; Habitat analysis; Deep learning; Radiomics; Californium-252 neutron therapy; Treatment efficacy prediction
Core Tip	The present study aims to fill this gap by constructing a multimodal fusion predictive model to enable precise early prediction of treatment efficacy of californium-252 (252Cf) neutron for cervical cancer to provide decisive evidence for the options of personalized precision radiotherapy. This study integrates magnetic resonance imaging habitat atlas analysis with deep learning and radiomics. The constructed multimodal fusion model can non-invasively and accurately predict the efficacy of 252Cf neutron therapy for cervical cancer, providing a powerful novel imaging tool for clinical individualized precision radiotherapy decision-making.
Citation	Wang SP, Chen ZG, Shan XJ, Jin M, Zhao W, Tong X, Meng X. Deep learning fusion model based on multimodal magnetic resonance imaging habitat mapping for predicting the efficacy for cervical cancer. World J Radiol 2026; In press DOI: https://doi.org/10.4329/wjr.123597
PDF	123597-in-press.pdf

Received	2026-06-02 10:29
Peer-Review Started	2026-06-02 10:29
First Decision by Editorial Office Director
Return for Revision	2026-06-18 02:49
Revised	2026-07-27 08:57
Publication Fee Transferred
Second Decision by Editor	2026-08-17 02:35
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-08-17 09:22
Articles in Press	2026-08-17 09:22
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1949-8470 (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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