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Publication Name World Journal of Gastrointestinal Surgery
Manuscript ID 115903
Country China
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
Manuscript Source Unsolicited Manuscript
All Author List Yue Feng, Xi-Hao Hu and Bo Xiao
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
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.
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; In press
Received
2025-10-31 14:23
Peer-Review Started
2025-10-31 14:23
First Decision by Editorial Office Director
2025-12-05 09:34
Return for Revision
2025-12-05 20:17
Revised
2025-12-16 00:01
Publication Fee Transferred
2025-12-25 07:16
Second Decision by Editor
2026-02-04 02:52
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-02-04 05:04
Articles in Press
2026-02-04 05:04
Edit the Manuscript by Language Editor
Typeset the Manuscript
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/
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