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Articles Published Processes
8/16/2024 3:30:04 PM | Browse: 235 | Download: 667
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Received |
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2024-05-07 11:47 |
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Peer-Review Started |
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2024-05-07 11:47 |
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First Decision by Editorial Office Director |
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2024-05-28 10:23 |
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Return for Revision |
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2024-05-28 10:23 |
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Revised |
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2024-05-29 06:46 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2024-06-27 02:52 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-06-27 06:15 |
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Articles in Press |
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2024-06-27 06:15 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-07-12 07:48 |
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Publish the Manuscript Online |
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2024-08-16 15:30 |
| ISSN |
1948-9366 (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 |
Preoperative prediction of hepatocellular carcinoma microvascular invasion based on magnetic resonance imaging feature extraction artificial neural network
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Jing-Yi Xu, Yu-Fan Yang, Zhong-Yue Huang, Xin-Ye Qian and Fan-Hua Meng |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Tsinghua University Institute of Precision Medicine |
No. 2022ZLA006 |
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| Corresponding Author |
Xin-Ye Qian, MD, Doctor, Doctor, Center of Hepatobiliary Pancreatic Disease, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, No. 168 Litang Road, Changping District, Beijing 102218, China. m13716890662@163.com |
| Key Words |
Hepatocellular carcinoma; Microvascular invasion; Artificial neural network; Magnetic resonance imaging; Tumor sphericity; Area under the curve |
| Core Tip |
Constructing an artificial neural network (ANN) using magnetic resonance imaging can accurately predict the presence of microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC) with tumors < 3 cm. Tumor sphericity has emerged as a significant factor associated with MVI occurrence, emphasizing its importance in MVI analysis. The strong predictive capability of the ANN model, with an area under the curve of 0.79, shows its potential to enhance MVI prediction accuracy and aid in the management of patients with HCC. |
| Publish Date |
2024-08-16 15:30 |
| Citation |
Xu JY, Yang YF, Huang ZY, Qian XY, Meng FH. Preoperative prediction of hepatocellular carcinoma microvascular invasion based on magnetic resonance imaging feature extraction artificial neural network. World J Gastrointest Surg 2024; 16(8): 2546-2554 |
| URL |
https://www.wjgnet.com/1948-9366/full/v16/i8/2546.htm |
| DOI |
https://dx.doi.org/10.4240/wjgs.v16.i8.2546 |
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