Publication Name	World Journal of Gastroenterology
Manuscript ID	102224
Country	China

Category	Oncology
Manuscript Type	Letter to the Editor
Article Title	New frontiers in hepatocellular carcinoma: Precision imaging for microvascular invasion prediction
Manuscript Source	Invited Manuscript
All Author List	Liang Hao, Zhao-Nan Zhang, Shuang Han, Shan-Shan Li, Si-Xiang Lin and Yan-Dong Miao
Funding Agency and Grant Number	Funding Agency Grant Number Shandong Province Medical and Health Science and Technology Development Plan Project 202203030713 Science and Technology Program of Yantai Affiliated Hospital of Binzhou Medical University YTFY2022KYQD06
Corresponding Author	Yan-Dong Miao, Cancer Center, Yantai Affiliated Hospital of Binzhou Medical University,The 2nd Medical College of Binzhou Medical University, No. 717 Jinbu Street, Muping District, Yantai 264100, Shandong Province, China. miaoyd_22@bzmc.edu.cn
Key Words	Microvascular invasion prediction; Hepatocellular carcinoma; Radiomics; Precision Imaging; Hepatitis B virus
Core Tip	The integration of precision medicine in hepatocellular carcinoma (HCC) management is crucial for tailoring treatment to individual patient characteristics, and leveraging radiomics serves as a powerful non-invasive tool for predicting microvascular invasion preoperatively, thereby guiding more informed surgical decisions. To enhance the robustness and applicability of predictive models, multicentric studies involving diverse populations should be promoted, alongside the integration of radiomics with genetic and molecular markers for a more comprehensive understanding of the tumor microenvironment. Embracing advancements in imaging technologies and conducting cost-effectiveness analyses are essential for justifying the adoption of radiomics in clinical practice. Additionally, addressing ethical considerations regarding patient data privacy and promoting the use of radiomics in prospective clinical trials can help validate their effectiveness in real-world settings. Investing in training for healthcare professionals will improve their interpretation of radiomics data, facilitating its routine use, while fostering collaboration among oncologists, radiologists, data scientists, and researchers will continually refine predictive models and enhance their utility in managing HCC.
Citation	Hao L, Zhang ZN, Han S, Li SS, Lin SX, Miao YD. New frontiers in hepatocellular carcinoma: Precision imaging for microvascular invasion prediction. World J Gastroenterol 2025; In press

Received	2024-10-12 07:05
Peer-Review Started	2024-10-12 07:05
To Make the First Decision
Return for Revision	2024-12-24 01:13
Revised	2025-01-02 05:57
Second Decision	2025-01-10 02:35
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-01-10 06:51
Articles in Press	2025-01-10 06:51
Publication Fee Transferred
Edit the Manuscript by Language Editor	2025-01-11 10:53
Typeset the Manuscript	2025-01-16 09:49

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/
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