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Articles Published Processes
4/19/2024 8:45:27 AM | Browse: 101 | Download: 404
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Received |
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2023-12-30 08:11 |
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Peer-Review Started |
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2023-12-30 08:11 |
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To Make the First Decision |
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Return for Revision |
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2024-01-27 04:54 |
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Revised |
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2024-02-08 14:31 |
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Second Decision |
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2024-03-12 02:45 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2024-03-12 03:00 |
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Articles in Press |
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2024-03-12 03:00 |
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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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2024-04-14 18:15 |
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Publish the Manuscript Online |
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2024-04-19 08:45 |
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) 2024. 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 |
Computed tomography-based radiomics to predict early recurrence of hepatocellular carcinoma post-hepatectomy in patients background on cirrhosis
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Gui-Xiang Qian, Zi-Ling Xu, Yong-Hai Li, Jian-Lin Lu, Xiang-Yi Bu, Ming-Tong Wei and Wei-Dong Jia |
ORCID |
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Funding Agency and Grant Number |
Funding Agency |
Grant Number |
Anhui Provincial Key Research and Development Plan |
No. 202104j07020048 |
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Corresponding Author |
Wei-Dong Jia, PhD, Doctor, Doctor, Department of Hepatic Surgery, Anhui Provincial Hospital, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, No. 17 Lujiang Road, Hefei 230001, Anhui Province, China. jwd1968@ustc.edu.cn |
Key Words |
Machine learning; Radiomics; Hepatocellular carcinoma; Cirrhosis; Early Recurrence; Overall survival; Computed tomography; Prognosis; Risk factor; Delta-radiomics |
Core Tip |
Hepatocellular carcinoma (HCC) ranks as the sixth most prevalent tumour and stands as the third leading cause of cancer-related deaths globally. In contrast to individuals with HCC in normal liver tissue, those with HCC in the context of cirrhosis frequently experience a higher recurrence rate. Therefore, a machine learning model aimed at predicting the early recurrence of post-hepatectomy HCC in patients with cirrhosis was developed. The study also aimed to stratify patients’ overall survival based on the predicted risk of recurrence. |
Publish Date |
2024-04-19 08:45 |
Citation |
Qian GX, Xu ZL, Li YH, Lu JL, Bu XY, Wei MT, Jia WD. Computed tomography-based radiomics to predict early recurrence of hepatocellular carcinoma post-hepatectomy in patients background on cirrhosis. World J Gastroenterol 2024; 30 (15): 2128-2142 |
URL |
https://www.wjgnet.com/1007-9327/full/v30/i15/2128.htm |
DOI |
https://dx.doi.org/10.3748/wjg.v30.i15.2128 |
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