Publication Name	World Journal of Gastrointestinal Oncology
Manuscript ID	99057
Country	China

Category	Oncology
Manuscript Type	Retrospective Study
Article Title	Uninvolved liver dose prediction in stereotactic body radiation therapy for liver cancer based on the neural network method
Manuscript Source	Unsolicited Manuscript
All Author List	Huai-Wen Zhang, You-Hua Wang, Bo Hu and Hao-Wen Pang
Funding Agency and Grant Number	Funding Agency Grant Number Open Fund for Scientific Research of Jiangxi Cancer Hospital 2021J15 Gulin People's Hospital-The Affiliated Hospital of Southwest Medical University Science and Technology Strategic Cooperation Project 2022GLXNYDFY05 Sichuan Provincial Medical Research Project Plan S21004
Corresponding Author	Hao-Wen Pang, MA, MD, Doctor, Department of Oncology, The Affiliated Hospital of Southwest Medical University, No. 25 Taiping Street, Luzhou 646000, Sichuan Province, China. haowenpang@foxmail.com
Key Words	Dose prediction; Sub-organ; Machine learning; Stereotactic body radiotherapy; Liver cancer
Core Tip	In this study, a neural network prediction model for the uninvolved liver dose was established using the MATLAB neural network application. The regression R-value and mean square error (MSE) were used to evaluate the model. All R-values for Dn10-Dn100 and Dnmean were > 0.8, except for Dn0, which was 0.7513, respectively. The MSE of the prediction model was also very low.
Citation	Zhang HW, Wang YH, Hu B, Pang HW. Uninvolved liver dose prediction in stereotactic body radiation therapy for liver cancer based on the neural network method. World J Gastrointest Oncol 2024; In press

Received	2024-07-12 05:35
Peer-Review Started	2024-07-12 05:35
To Make the First Decision
Return for Revision	2024-08-07 12:05
Revised	2024-08-19 01:35
Second Decision	2024-09-05 02:40
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2024-09-05 07:40
Articles in Press	2024-09-05 07:40
Publication Fee Transferred	2024-09-06 08:11
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5204 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/licenses/by-nc/4.0/
Copyright	Zhang HW, Wang YH, Hu B, Pang HW. Uninvolved liver dose prediction in stereotactic body radiation therapy for liver cancer based on the neural network method. World J Gastrointest Oncol 2024; In press
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