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Articles Published Processes
9/20/2024 8:50:42 AM | Browse: 193 | Download: 747
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Received |
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2024-07-02 11:35 |
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Peer-Review Started |
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2024-07-02 11:35 |
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First Decision by Editorial Office Director |
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2024-08-21 23:10 |
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Return for Revision |
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2024-08-21 23:10 |
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Revised |
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2024-08-28 16:32 |
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Publication Fee Transferred |
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2024-09-06 01:49 |
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Second Decision by Editor |
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2024-09-03 02:43 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-09-03 07:43 |
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Articles in Press |
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2024-09-03 07:43 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-09-14 04:51 |
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Publish the Manuscript Online |
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2024-09-20 08:50 |
| 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 multi-organ radiomics nomogram model for predicting the risk of esophagogastric variceal bleeding in cirrhosis
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yu-Jie Peng, Xin Liu, Ying Liu, Xue Tang, Qi-Peng Zhao and Yong Du |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Yong Du, MD, Professor, Department of Radiology, The Affiliated Hospital of North Sichuan Medical College, No. 1 Maoyuannan Road, Nanchong 637000, Sichuan Province, China. duyong@nsmc.edu.cn |
| Key Words |
Artificial intelligence; Cirrhosis; Radiomics; Esophagogastric variceal bleeding |
| Core Tip |
Based on enhanced computed tomography images of patients with cirrhosis and independent clinical risk factors, we developed a new multi-organ combined radiomic model to predict the risk of esophageal variceal bleeding (EVB) in cirrhotic patients, and analyzed its reproducibility and clinical applicability. This new multi-organ combined prediction model can effectively predict the risk of secondary EVB in cirrhosis and provide some support for patient individualized treatment. |
| Publish Date |
2024-09-20 08:50 |
| Citation |
Peng YJ, Liu X, Liu Y, Tang X, Zhao QP, Du Y. Computed tomography-based multi-organ radiomics nomogram model for predicting the risk of esophagogastric variceal bleeding in cirrhosis. World J Gastroenterol 2024; 30(36): 4044-4056 |
| URL |
https://www.wjgnet.com/1007-9327/full/v30/i36/4044.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v30.i36.4044 |
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