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Articles Published Processes
4/29/2021 2:12:02 AM | Browse: 455 | Download: 1006
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Received |
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2021-01-18 08:24 |
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Peer-Review Started |
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2021-01-18 08:26 |
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To Make the First Decision |
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Return for Revision |
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2021-02-09 21:15 |
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Revised |
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2021-02-22 13:19 |
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Second Decision |
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2021-03-31 09:30 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-03-31 17:00 |
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Articles in Press |
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2021-03-31 17:00 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2021-04-13 02:48 |
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Typeset the Manuscript |
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2021-04-26 01:10 |
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Publish the Manuscript Online |
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2021-04-29 02:12 |
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: http://creativecommons.org/Licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2021. 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 |
Radiology, Nuclear Medicine & Medical Imaging |
Manuscript Type |
Retrospective Study |
Article Title |
Prediction of microvascular invasion in solitary hepatocellular carcinoma ≤ 5 cm based on computed tomography radiomics
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Peng Liu, Xian-Zhen Tan, Ting Zhang, Qian-Biao Gu, Xian-Hai Mao, Yan-Chun Li and Ya-Qiong He |
ORCID |
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Funding Agency and Grant Number |
Funding Agency |
Grant Number |
Scientific Research Program of Hunan Provincial Health Commission, China |
B2019072 |
Changsha Science and Technology Project, China |
kq1907062 |
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Corresponding Author |
Ya-Qiong He, MD, Associate Professor, Department of Radiology, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), No. 61 Jiefang West Road, Changsha 410005, Hunan Province, China. 641474988@qq.com |
Key Words |
Hepatocellular carcinoma; Microvascular invasion; Radiomics; Image features; Computed tomography |
Core Tip |
Microvascular invasion (MVI) is considered as one of the most important factors of recurrence and poor prognosis of liver cancer. Thus, accurately identifying MVI before surgery is of great importance in making treatment strategies and predicting the prognosis of patients with hepatocellular carcinoma (HCC). This study showed that radiomics as an emerging method at present had a good diagnostic efficiency and exhibited better accuracy in predicting MVI than image features, indicating that radiomics is a more suitable method in predicting MVI in solitary HCC ≤ 5 cm. |
Publish Date |
2021-04-29 02:12 |
Citation |
Liu P, Tan XZ, Zhang T, Gu QB, Mao XH, Li YC, He YQ. Prediction of microvascular invasion in solitary hepatocellular carcinoma ≤ 5 cm based on computed tomography radiomics. World J Gastroenterol 2021; 27(17): 2015-2024 |
URL |
https://www.wjgnet.com/1007-9327/full/v27/i17/2015.htm |
DOI |
https://dx.doi.org/10.3748/wjg.v27.i17.2015 |
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