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7/4/2025 7:35:40 AM | Browse: 27 | Download: 0
Publication Name World Journal of Clinical Cases
Manuscript ID 109397
Country United States
Category Oncology
Manuscript Type Letter to the Editor
Article Title Advancing predictive oncology: Integrating clinical and radiomic models to optimize transarterial chemoembolization outcomes in hepatocellular carcinoma
Manuscript Source Invited Manuscript
All Author List Sujatha Baddam
Funding Agency and Grant Number
Corresponding Author Sujatha Baddam, Academic Editor, Consultant, MD, Researcher, Department of Internal Medicine, Huntsville Hospital, 101 Sivley Road SW, Huntsville, AL 35801, United States. drsujathabaddam@gmail.com
Key Words Hepatocellular carcinoma; Radiomics; Transarterial chemoembolization; Alpha-fetoprotein; Predictive modeling; Machine learning; Computed tomography; Texture analysis; Treatment response; Personalized oncology
Core Tip Radiomic analysis of computed tomography (CT) images—particularly texture and shape features—combined with clinical biomarkers such as alpha-fetoprotein (AFP), enables accurate prediction of response to transarterial chemoembolization (TACE) in hepatocellular carcinoma (HCC), with area under the curve (AUC) values exceeding 0.90. These noninvasive models allow early identification of non-responders, support personalized treatment selection, and may improve outcomes through timely initiation of alternative therapies in liver cancer management.
Citation Baddam S. Advancing predictive oncology: Integrating clinical and radiomic models to optimize transarterial chemoembolization outcomes in hepatocellular carcinoma. World J Clin Cases 2025; In press
Received
2025-05-12 08:38
Peer-Review Started
2025-05-12 08:38
To Make the First Decision
Return for Revision
2025-05-17 07:58
Revised
2025-05-20 00:54
Second Decision
2025-07-04 02:37
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-07-04 07:35
Articles in Press
2025-07-04 07:35
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 2307-8960 (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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