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Articles Published Processes
11/15/2024 2:23:10 AM | Browse: 134 | Download: 498
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Received |
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2024-06-28 23:35 |
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Peer-Review Started |
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2024-06-28 23:35 |
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First Decision by Editorial Office Director |
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2024-10-11 09:41 |
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Return for Revision |
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2024-10-11 09:41 |
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Revised |
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2024-10-21 23:54 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2024-10-29 02:48 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-10-29 10:22 |
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Articles in Press |
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2024-10-29 10:22 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-11-11 08:48 |
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Publish the Manuscript Online |
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2024-11-15 02:23 |
| ISSN |
2307-8960 (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 |
© 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 |
Imaging Science & Photographic Technology |
| Manuscript Type |
Letter to the Editor |
| Article Title |
Radiomics and molecular analysis: Bridging the gap for predicting hepatocellular carcinoma prognosis
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Chun-Han Cheng, Wen-Rui Hao and Tzu-Hurng Cheng |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Tzu-Hurng Cheng, PhD, Professor, Department of Biochemistry, School of Medicine, College of Medicine, China Medical University, No. 91 Xueshi Road, North District, Taichung 404333, Taiwan. thcheng@mail.cmu.edu.tw |
| Key Words |
Hepatocellular carcinoma; Computed tomography; Radiomics; Enhancer of zeste homologue 2 expression; Non-invasive imaging |
| Core Tip |
This editorial discusses a study that combined radiomics based on computed tomography (CT) with molecular analysis for predicting the expression of the gene enhancer of zeste homolog 2 (EZH2) in patients with hepatocellular carcinoma (HCC). The radiomics model revealed a strong correlation with both EZH2 expression and patient survival, providing a noninvasive approach for obtaining key molecular insights. This innovative approach may enhance the prediction of HCC prognosis and may guide the implementation of personalized treatment, marking a major advancement in cancer diagnostics and precision medicine. |
| Publish Date |
2024-11-15 02:23 |
| Citation |
Cheng CH, Hao WR, Cheng TH. Radiomics and molecular analysis: Bridging the gap for predicting hepatocellular carcinoma prognosis. World J Clin Cases 2025; 13(4): 98550 |
| URL |
https://www.wjgnet.com/2307-8960/full/v13/i4/98550.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v13.i4.98550 |
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