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Articles Published Processes
6/24/2022 1:12:05 PM | Browse: 439 | Download: 1527
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Received |
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2021-12-24 09:05 |
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Peer-Review Started |
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2021-12-24 09:06 |
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To Make the First Decision |
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Return for Revision |
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2022-03-10 06:21 |
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Revised |
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2022-03-20 15:45 |
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Second Decision |
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2022-05-11 03:02 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-05-12 17:58 |
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Articles in Press |
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2022-05-12 17:58 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2022-04-29 02:21 |
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Typeset the Manuscript |
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2022-06-14 08:33 |
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Publish the Manuscript Online |
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2022-06-24 13:12 |
| ISSN |
1007-9327 (print) and 2219-2840 (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) 2022. 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Radiomic analysis based on multi-phase magnetic resonance imaging to predict preoperatively microvascular invasion in hepatocellular carcinoma
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yue-Ming Li, Yue-Min Zhu, Lan-Mei Gao, Ze-Wen Han, Xiao-Jie Chen, Chuan Yan, Rong-Ping Ye and Dai-Rong Cao |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Joint Funds for the Innovation of Science and Technology, Fujian Province (CN) |
2019Y9125 |
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| Corresponding Author |
Dai-Rong Cao, MD, Chief Doctor, Department of Radiology, The First Affiliated Hospital of Fujian Medical University, No. 20 Chazhong Road, Fuzhou 350005, Fujian Province, China. 3502505836@qq.com |
| Key Words |
Hepatocellular carcinoma; Microvascular invasion; Magnetic resonance imaging; Radiomic analysis; Imaging biomarkers |
| Core Tip |
We developed a radiomic analysis model based on pre-operative magnetic resonance imaging data to predict microvascular invasion (MVI) in hepatocellular carcinoma (HCC). Quantitative analyses included most discriminant factors (MDFs) developed using the linear discriminant analysis algorithm and histogram analysis by the MaZda software. The area under the receiver operating characteristic curve value of the model and the result of internal 5-fold cross-validation showed favorable predictive efficacy. A noninvasive radiomic model of MDF values and imaging biomarkers may be useful to make a preoperative prediction of MVI in patients with primary HCC. |
| Publish Date |
2022-06-24 13:12 |
| Citation |
Li YM, Zhu YM, Gao LM, Han ZW, Chen XJ, Yan C, Ye RP, Cao DR. Radiomic analysis based on multi-phase magnetic resonance imaging to predict preoperatively microvascular invasion in hepatocellular carcinoma. World J Gastroenterol 2022; 28(24): 2733-2748 |
| URL |
https://www.wjgnet.com/1007-9327/full/v28/i24/2733.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v28.i24.2733 |
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