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Articles Published Processes
11/13/2025 6:51:08 AM | Browse: 3 | Download: 29
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Received |
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2025-07-21 01:32 |
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Peer-Review Started |
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2025-07-21 01:32 |
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To Make the First Decision |
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Return for Revision |
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2025-08-06 11:57 |
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Revised |
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2025-08-20 19:40 |
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Second Decision |
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2025-10-11 02:46 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-10-11 03:44 |
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Articles in Press |
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2025-10-11 03:44 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-10-30 09:36 |
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Publish the Manuscript Online |
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2025-11-13 06:51 |
| 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 |
© The Author(s) 2025. 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 |
Minireviews |
| Article Title |
Artificial intelligence in contrast enhanced ultrasound: A new era for liver lesion assessment
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Adriana Ciocalteu, Cristiana M Urhut, Costin Teodor Streba, Adina Kamal, Madalin Mamuleanu and Larisa D Sandulescu |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Adriana Ciocalteu, Assistant Professor, MD, PhD, Department of Gastroenterology, Research Center of Gastroenterology and Hepatology, University of Medicine and Pharmacy of Craiova, Petru Rares 2, Craiova 200349, Romania. adriana_ciocalteu@yahoo.com |
| Key Words |
Artificial intelligence; Contrast-enhanced ultrasound; Liver Imaging Reporting and Data System; Hepatocellular carcinoma; Deep learning; Radiomics; Clinical decision support systems; Focal liver lesions; Image interpretation; Diagnostic workflow |
| Core Tip |
Artificial intelligence (AI) has shown increasing potential in enhancing liver imaging workflows. This review focused on the integration of AI into contrast-enhanced ultrasound for liver lesion assessment with an emphasis on automating the Liver Imaging Reporting and Data System classification. We summarized recent deep learning architectures, radiomics applications, and clinical impact studies, highlighting both diagnostic performance and technical challenges. The review provided a forward-looking perspective on how contrast-enhanced ultrasound-based AI models may standardize interpretation, support real-time decision-making, and transform hepatocellular carcinoma diagnosis in clinical practice. |
| Publish Date |
2025-11-13 06:51 |
| Citation |
<p>Ciocalteu A, Urhut CM, Streba CT, Kamal A, Mamuleanu M, Sandulescu LD. Artificial intelligence in contrast enhanced ultrasound: A new era for liver lesion assessment. <i>World J Gastroenterol</i> 2025; 31(42): 112196</p> |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i42/112196.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i42.112196 |
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