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Publication Name World Journal of Gastrointestinal Oncology
Manuscript ID 118414
Country China
Category Gastroenterology & Hepatology
Manuscript Type Editorial
Article Title Radiomics for preoperative assessment of peritoneal metastasis in gastric cancer
Manuscript Source Invited Manuscript
All Author List Yue Xing, Yan Jiao and Yu-Ning Gao
Funding Agency and Grant Number
Corresponding Author Yan Jiao, PhD, Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, Xinmin Street, Changchun 130021, Jilin Province, China. jiaoyan@jlu.edu.cn
Key Words Gastric cancer; Peritoneal metastasis; Radiomics; Multiphase computed tomography; Machine learning; Preoperative staging
Core Tip Radiomics based on multiphase contrast-enhanced computed tomography offers a promising non-invasive approach for the preoperative assessment of peritoneal metastasis in gastric cancer. By quantitatively capturing tumor heterogeneity beyond visual interpretation, multiphase radiomics models – particularly when integrated with clinical variables – demonstrate improved predictive performance compared with conventional imaging alone. However, heterogeneity in imaging protocols, feature extraction strategies, and model validation remains a major barrier to clinical translation. Standardization and prospective validation are essential before routine clinical implementation.
Citation Xing Y, Jiao Y, Gao YN. Radiomics for preoperative assessment of peritoneal metastasis in gastric cancer. World J Gastrointest Oncol 2026; In press
Received
2026-01-02 13:46
Peer-Review Started
2026-01-02 13:46
First Decision by Editorial Office Director
2026-01-14 02:57
Return for Revision
2026-01-14 02:57
Revised
2026-01-15 12:19
Publication Fee Transferred
Second Decision by Editor
2026-02-12 02:50
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-02-12 07:59
Articles in Press
2026-02-12 07:59
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 1948-5204 (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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