Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Gastrointest Oncol. Nov 15, 2026; 18(11): 123321
Published online Nov 15, 2026. doi: 10.4251/wjgo.123321
Published online Nov 15, 2026. doi: 10.4251/wjgo.123321
Preoperative dual-energy computed tomography radiomics for prognosis of advanced gastric adenocarcinoma
Ao Liu, Min Li, Yang You, Lei Gao, Xiao-Sheng Xu, Yu Li, Jing Liu, Li Yang, Department of Computed Tomography and Magnetic Resonance, Fourth Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei Province, China
Yong Li, Zhi-Dong Zhang, Third Department of Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei Province, China
Co-first authors: Ao Liu and Min Li.
Author contributions: Liu A and Li M wrote the first draft of the manuscript as co-first authors; all authors contributed to the study conception and design, and commented on previous versions of the manuscript; You Y, Xu XS, Li Yu, Liu J, Li Yong, and Zhang ZD performed data collection; Liu A, Gao L, and Li M performed data analysis; Yang L reviewed and edited the manuscript. All authors read and approved the final manuscript.
AI contribution statement: Portions of this manuscript were edited using AI tools solely for language refinement. The authors carefully reviewed and verified all AI-assisted outputs and take full responsibility for the scientific content of the manuscript.
Supported by S&T Program of Hebei, No. 22377789D and No. 22377701D; and Medical Science Research Project of Hebei, No. 20221314.
Institutional review board statement: This retrospective study was approved by the Ethics Committee of the Fourth Hospital of Hebei Medical University, No. 2021KY347.
Informed consent statement: Given the retrospective design and use of de-identified patient data, the requirement for obtaining written informed consent was waived by the ethics committee.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: The data that support the findings of this study are available from the corresponding author upon reasonable request.
Corresponding author: Li Yang, MD, Department of Computed Tomography and Magnetic Resonance, Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Chang’an District, Shijiazhuang 050000, Hebei Province, China. 48000664@hebmu.edu.cn
Received: May 15, 2026
Revised: June 25, 2026
Accepted: July 31, 2026
Published online: November 15, 2026
Processing time: 166 Days and 6.4 Hours
Revised: June 25, 2026
Accepted: July 31, 2026
Published online: November 15, 2026
Processing time: 166 Days and 6.4 Hours
Core Tip
Core Tip: This study developed a preoperative dual-energy computed tomography radiomics model for disease-free and overall survival prediction in resectable advanced gastric adenocarcinoma. By integrating radiomics features with clinical nodal status, tumor morphology, and carcinoembryonic antigen level, the model improved exploratory risk stratification over pathological tumor-node-metastasis staging.