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Articles Published Processes
6/26/2025 11:40:35 AM | Browse: 4 | Download: 15
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Received |
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2025-04-09 00:30 |
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Peer-Review Started |
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2025-04-09 00:30 |
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To Make the First Decision |
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Return for Revision |
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2025-04-16 10:47 |
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Revised |
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2025-04-19 11:22 |
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Second Decision |
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2025-05-26 02:42 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-05-26 08:51 |
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Articles in Press |
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2025-05-26 08:51 |
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Publication Fee Transferred |
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2025-04-23 12:48 |
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Edit the Manuscript by Language Editor |
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2025-05-28 04:49 |
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Typeset the Manuscript |
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2025-06-18 08:13 |
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Publish the Manuscript Online |
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2025-06-26 11:40 |
| ISSN |
1949-8470 (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 |
Computer Science, Artificial Intelligence |
| Manuscript Type |
Retrospective Study |
| Article Title |
Evaluating radiomics in the differential diagnosis of dual-phenotype hepatocellular carcinoma and intrahepatic cholangiocarcinoma and validating its clinical applicability
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Chen-Cai Zhang, Da Lu, Jun Yang, Ling Zhang, Xia-Feng Zeng, Xiang-Ming Fang and Cun-Geng Fan |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Cun-Geng Fan, Department of Radiology, Ganzhou People’s Hospital, meiguan, ganzhou 510515, Jiangxi Province, China. 3832472809@qq.com |
| Key Words |
Dual-phenotype hepatocellular carcinoma; Intrahepatic cholangiocarcinoma; Computer-aided diagnosis; Radiomics; Machine learning |
| Core Tip |
In the present study, the clinical and imaging data of 53 dual-phenotype hepatocellular carcinoma (DPHCC) patients and 124 intrahepatic cholangiocarcinoma (ICC) patients were collected, the regions of interest were delineated slice by slice, and relevant information was extracted to construct a clinical-sign model, a radiomic model, and a combined model. Subsequently, the performance of the predictive models was evaluated to explore their clinical applicability. The study found radiomics can effectively differentiate DPHCC and ICC preoperatively, and with assistance from the developed model; the accuracy of less experienced doctors in the differential diagnosis of these two diseases can be improved. |
| Publish Date |
2025-06-26 11:40 |
| Citation |
<p>Zhang CC, Lu D, Yang J, Zhang L, Zeng XF, Fang XM, Fan CG. Evaluating radiomics in the differential diagnosis of dual-phenotype hepatocellular carcinoma and intrahepatic cholangiocarcinoma and validating its clinical applicability. <i>World J Radiol</i> 2025; 17(6): 108247</p> |
| URL |
https://www.wjgnet.com/1949-8470/full/v17/i6/108247.htm |
| DOI |
https://dx.doi.org/10.4329/wjr.v17.i6.108247 |
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