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Articles Published Processes
5/15/2025 10:29:01 AM | Browse: 18 | Download: 63
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Received |
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2025-02-10 06:38 |
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Peer-Review Started |
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2025-02-10 06:38 |
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To Make the First Decision |
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Return for Revision |
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2025-03-19 03:31 |
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Revised |
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2025-03-27 15:33 |
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Second Decision |
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2025-04-17 02:47 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-04-17 08:21 |
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Articles in Press |
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2025-04-17 08:21 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2025-04-18 03:20 |
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Typeset the Manuscript |
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2025-04-27 09:02 |
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Publish the Manuscript Online |
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2025-05-15 10:29 |
| ISSN |
1948-5204 (online) |
| Open Access |
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: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| 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 |
Integrating ultrasound and serum indicators for evaluating outcomes of targeted immunotherapy in advanced liver cancer
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Hai-Bin Tu, Si-Yi Feng, Li-Hong Chen, Yu-Jie Huang, Ju-Zhen Zhang, Su-Yu Peng, Ding-Luan Lin and Xiao-Jian Ye |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Natural Science Foundation of Fujian Province |
2022J011285 and 2023J011480 |
| Fuzhou Municipal Bureau of Science and Technology Program Fund |
2021-S-109 |
| Provincial subsidy fund for health and wellness from Fujian Provincial Department of Finance |
BPB-2022YXJ |
| Fujian Provincial Health Technology Project |
2020GGB032 |
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| Corresponding Author |
Xiao-Jian Ye, Associate Professor, Department of Ultrasound, The First Affiliated Hospital of Fujian Medical University, No. 20 Chazhong Road, Taijiang District, Fuzhou 350001, Fujian Province, China. xjian_y@163.com |
| Key Words |
Advanced hepatocellular carcinoma; Targeted immunotherapy; Predictive modeling; Non-invasive; Machine learning |
| Core Tip |
Predicting treatment response in patients with advanced hepatocellular carcinoma undergoing targeted immunotherapy remains a significant challenge. This study introduced and validated the Target Immunotherapy Predictive Model, a novel, non-invasive tool that integrates pre-treatment ultrasound features (tumor diameter, changes in tumor stiffness) and accessible serum biomarkers (platelet count, white blood cell count) using machine learning. Target Immunotherapy Predictive Model outperformed traditional staging systems in predicting treatment efficacy, providing a promising solution for personalized treatment selection in advanced hepatocellular carcinoma. This approach has the potential to minimize unnecessary treatments, optimize therapeutic strategies, and ultimately improve patient outcomes. A user-friendly web calculator further enhances its clinical applicability. |
| Publish Date |
2025-05-15 10:29 |
| Citation |
<p>Tu HB, Feng SY, Chen LH, Huang YJ, Zhang JZ, Peng SY, Lin DL, Ye XJ. Integrating ultrasound and serum indicators for evaluating outcomes of targeted immunotherapy in advanced liver cancer. <i>World J Gastrointest Oncol</i> 2025; 17(5): 105872</p> |
| URL |
https://www.wjgnet.com/1948-5204/full/v17/i5/105872.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v17.i5.105872 |
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