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4/7/2023 6:41:55 AM | Browse: 203 | Download: 865
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Received |
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2022-12-12 02:55 |
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Peer-Review Started |
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2022-12-12 02:56 |
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To Make the First Decision |
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Return for Revision |
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2023-01-22 22:10 |
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Revised |
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2023-02-01 12:27 |
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Second Decision |
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2023-03-17 02:48 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-03-20 22:46 |
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Articles in Press |
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2023-03-20 22:46 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2023-03-24 09:03 |
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Publish the Manuscript Online |
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2023-04-07 05:51 |
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) 2023. 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 |
Preoperative prediction of macrotrabecular-massive hepatocellular carcinoma through dynamic contrast-enhanced magnetic resonance imaging-based radiomics
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Yang Zhang, Dong He, Jing Liu, Yu-Guo Wei and Lin-Lin Shi |
Funding Agency and Grant Number |
Funding Agency |
Grant Number |
Medical Science and Technology Project of Zhejiang Province |
2023KY503 |
Zhejiang Provincial Natural Science Foundation of China |
LTGY23H180017 |
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Corresponding Author |
Lin-Lin Shi, MD, Doctor, Doctor, Department of Gastroenterology, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, No. 208 East Ring Road, Hangzhou 310005, Zhejiang Province, China. linlinshi2022@163.com |
Key Words |
Hepatocellular carcinoma; Macrotrabecular-massive subtype; Algorithms; Radiomics; Models; Nomogram |
Core Tip |
Radiomics features can be used to predict the macrotrabecular-massive hepatocellular carcinoma (MTM-HCC) subtype. The logistic regression algorithm can improve the accuracy and stability of predicting MTM-HCC. Age, alpha-fetoprotein, tumour size, tumour-to-liver apparent diffusion coefficient ratio, and radiomics score were significant independent predictors of MTM-HCC. The nomogram based on radiomics, clinical and radiological features can serve as a noninvasive biomarker to preoperatively identify MTM-HCC. |
Publish Date |
2023-04-07 05:51 |
Citation |
Zhang Y, He D, Liu J, Wei YG, Shi LL. Preoperative prediction of macrotrabecular-massive hepatocellular carcinoma through dynamic contrast-enhanced magnetic resonance imaging-based radiomics. World J Gastroenterol 2023; 29(13): 2001-2014 |
URL |
https://www.wjgnet.com/1007-9327/full/v29/i13/2001.htm |
DOI |
https://dx.doi.org/10.3748/wjg.v29.i13.2001 |
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