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Publication Name World Journal of Gastroenterology
Manuscript ID 112559
Country China
Category Gastroenterology & Hepatology
Manuscript Type Retrospective Study
Article Title Construction and efficacy validation of a multi-parametric contrast-enhanced ultrasound nomogram model for discriminating hepatic inflammatory lesions from malignancies
Manuscript Source Unsolicited Manuscript
All Author List Si-Jie Mou, San-Mei Yu, Yan-Ni Xiang and Bo Tang
Funding Agency and Grant Number
Corresponding Author Bo Tang, Ultrasound Department, Taizhou First People's Hospital, No. 218 Hengjie Road, Huangyan District, Taizhou 318020, Zhejiang Province, China. tangbo19852025@163.com
Key Words Hepatic; Contrast-enhanced ultrasound; Machine learning; Differential diagnosis; SHapley Additive exPlanations; Inflammatory lesions; Malignant tumors
Core Tip We developed and externally tested (within an independent test set) a multi-parametric contrast-enhanced ultrasound-based, SHapley Additive exPlanations-interpretable machine learning nomogram to differentiate hepatic inflammatory lesions from malignant tumors. Logistic regression showed the best overall generalization (area under the curve = 0.965; accuracy = 94.35%) and significantly outperformed alpha-fetoprotein and Model for End-Stage Liver Disease scores. Blood flow signals and wash-in time, as the key driving factors of model decision-making, can offer an intuitive and clinically relevant diagnostic reference basis.
Citation Mou SJ, Yu SM, Xiang YN, Tang B. Construction and efficacy validation of a multi-parametric contrast-enhanced ultrasound nomogram model for discriminating hepatic inflammatory lesions from malignancies. World J Gastroenterol 2026; In press
Received
2025-12-05 08:36
Peer-Review Started
2025-12-05 08:36
First Decision by Editorial Office Director
2025-12-25 08:52
Return for Revision
2025-12-25 08:52
Revised
2026-01-20 08:21
Publication Fee Transferred
Second Decision by Editor
2026-02-25 02:40
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-02-25 07:44
Articles in Press
2026-02-25 07:44
Edit the Manuscript by Language Editor
Typeset the Manuscript
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 ©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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