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Articles Published Processes
5/27/2026 1:22:01 PM | Browse: 4 | Download: 0
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Received |
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2025-10-31 14:23 |
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Peer-Review Started |
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2025-10-31 14:23 |
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First Decision by Editorial Office Director |
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2025-12-05 09:34 |
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Return for Revision |
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2025-12-05 20:17 |
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Revised |
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2025-12-16 00:01 |
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Publication Fee Transferred |
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2025-12-25 07:16 |
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Second Decision by Editor |
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2026-02-04 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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2026-02-04 05:04 |
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Articles in Press |
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2026-02-04 05:04 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-04-13 02:58 |
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Publish the Manuscript Online |
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2026-05-27 13:22 |
| 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: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2026. 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 Cohort Study |
| Article Title |
Machine learning and radiomics for differentiating severe from moderately severe acute necrotizing pancreatitis on contrast-enhanced computed tomography
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yue Feng, Xi-Hao Hu and Bo Xiao |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Chongqing Science and Health Joint Medical Research Project |
2024MSXM165 |
| Chongqing Bishan District Science and Technology Bureau Project |
BSKJ2024062 |
| Leading Scientific Research and Innovation Team Project of Bishan Hospital of Chongqing |
BYKY-CX2024001 |
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| Corresponding Author |
Bo Xiao, Associate Professor, Chief, Chief Physician, Director, MD, Department of Radiology, Bishan Hospital of Chongqing Medical University, Bishan Hospital of Chongqing, No. 9 Shuangxing Avenue, Bishan District, Chongqing 402760, China. xiaoboimaging@163.com |
| Key Words |
Acute necrotizing pancreatitis; Peripancreatic necrotic collections; Radiomics; Machine learning; Contrast-enhanced computed tomography; Severe acute pancreatitis; Differential diagnosis |
| Core Tip |
Acute necrotizing pancreatitis (ANP), a more severe form of acute pancreatitis, requires early diagnosis and accurate severity stratification for optimal patient prognosis and treatment. This study demonstrates that radiomics based on contrast-enhanced computed tomography of both pancreatic parenchyma and peripancreatic necrotic collections, combined with machine learning algorithms, can effectively differentiate between severe and moderately severe ANP. This model may serve as a valuable adjunct clinical decision support tool, and its refined classification of ANP into severe and moderately severe categories could help optimize resource allocation and improve patient triage. |
| Publish Date |
2026-05-27 13:22 |
| Citation |
Feng Y, Hu XH, Xiao B. Machine learning and radiomics for differentiating severe from moderately severe acute necrotizing pancreatitis on contrast-enhanced computed tomography. World J Gastrointest Surg 2026; 18(5): 115903 |
| URL |
https://www.wjgnet.com/1948-9366/full/v18/i5/115903.htm |
| DOI |
https://dx.doi.org/10.4240/wjgs.v18.i5.115903 |
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