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Publication Name World Journal of Radiology
Manuscript ID 115610
Country China
Category Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type Minireviews
Article Title Research progress of the clinical application of dual-layer spectral computed tomography in gastrointestinal malignancies
Manuscript Source Invited Manuscript
All Author List Hong-Yu Yan, Bing Zhang, Zhao-Guo Han, Jia-Zhong Ren and Yan-Qing Liu
Funding Agency and Grant Number
Corresponding Author Yan-Qing Liu, Department of Radiology, Haiyang Center For Disease Control And Prevention, Yantai 265106, Shandong Province, China. hyfl99@126.com
Key Words Gastrointestinal malignancies; Esophageal cancer; Gastric cancer; Colorectal cancer; Dual-layer spectral detector computed tomography; Radiology
Core Tip Dual-layer spectral computed tomography (DLCT) achieves true instantaneous dual-energy acquisition through innovative dual-layer detector design, accurately obtaining information for anatomical structure and spectral image. This enables DLCT distinct advantages in detecting gastrointestinal malignancies compared with traditional endoscopic examination. Abundant quantitative parameters and integration of artificial intelligence will further expand the application filed of DLCT in molecular typing, clinical stage, efficacy monitoring and precise management for gastrointestinal malignancy patients.
Citation Yan HY, Zhang B, Han ZG, Ren JZ, Liu YQ. Research progress of the clinical application of dual-layer spectral computed tomography in gastrointestinal malignancies. World J Radiol 2026; In press
Received
2025-11-10 02:44
Peer-Review Started
2025-11-10 02:44
First Decision by Editorial Office Director
2025-12-02 08:05
Return for Revision
2025-12-02 08:05
Revised
2025-12-31 08:45
Publication Fee Transferred
Second Decision by Editor
2026-01-15 02:37
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-01-15 09:49
Articles in Press
2026-01-15 09:49
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 1949-8470 (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) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
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