BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
5/20/2026 8:22:30 AM | Browse: 1 | Download: 0
 |
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 |
|
2026-05-13 01:05 |
|
Publish the Manuscript Online |
|
2026-05-20 08:22 |
| 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. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| 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 |
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 |
| ORCID |
|
| 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. |
| Publish Date |
2026-05-20 08:22 |
| 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; 32(20): 112559 |
| URL |
https://www.wjgnet.com/1007-9327/full/v32/i20/112559.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v32.i20.112559 |
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.
