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Articles Published Processes
9/26/2024 10:17:48 AM | Browse: 114 | Download: 751
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Received |
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2024-07-12 05:35 |
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Peer-Review Started |
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2024-07-12 05:35 |
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First Decision by Editorial Office Director |
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2024-08-05 21:24 |
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Return for Revision |
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2024-08-07 12:05 |
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Revised |
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2024-08-19 01:35 |
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Publication Fee Transferred |
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2024-09-06 08:11 |
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Second Decision by Editor |
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2024-09-05 02:40 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-09-05 07:40 |
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Articles in Press |
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2024-09-05 07:40 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-09-18 02:10 |
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Publish the Manuscript Online |
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2024-09-26 10:17 |
| 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 |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| 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
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Huai-Wen Zhang, You-Hua Wang, Bo Hu and Hao-Wen Pang |
| ORCID |
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| 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 |
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| Corresponding Author |
Hao-Wen Pang, MA, MD, Doctor, 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. |
| Publish Date |
2024-09-26 10:17 |
| 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; 16(10): 4146-4156 |
| URL |
https://www.wjgnet.com/1948-5204/full/v16/i10/4146.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v16.i10.4146 |
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