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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Aug 28, 2025; 31(32): 110573
Published online Aug 28, 2025. doi: 10.3748/wjg.v31.i32.110573
Published online Aug 28, 2025. doi: 10.3748/wjg.v31.i32.110573
Diagnostic accuracy of dual-layer spectral computed tomography virtual monoenergetic imaging with multiplanar reformation for T-staging of colorectal cancer
Fei-Xiang Chen, Jian-Feng Zhu, Mei-Rong Wang, Xiao-Le Fan, Ju-Shun Yang, Bo-Sheng He, Department of Radiology, Nantong First People’s Hospital, Affiliated Hospital 2 of Nantong University, Nantong 226001, Jiangsu Province, China
Ke-Ke Jiang, Department of Radiology, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
Bo-Sheng He, Clinical Medicine Research Center, Nantong First People’s Hospital, Affiliated Hospital 2 of Nantong University, Nantong 226001, Jiangsu Province, China
Author contributions: Chen FX, He BS, and Yang JS designed the research; Wang MR, Fan XL, Jiang KK, and Zhu JF collected the research data; Chen FX, Zhu JF, Jiang KK, and Yang JS analyzed and interpreted the research data; Chen FX and He BS performed statistical analysis; Chen FX, He BS, Yang JS, and Fan XL provided funding support; Chen FX and Yang JS wrote the manuscript; He BS and Yang JS revised the manuscript for important intellectual content; all authors have read and approved the final manuscript.
Supported by Jiangsu Province 333 Talent Key Industry Field Talent Project, No. [2022]21; Key Scientific Research Program of Jiangsu Provincial Health Committee, No. ZD2021059; Nantong Key Laboratory Project, No. [2020]163; The Project of Nantong City Health Committee, No. MS2023027; and Young Medical Talents Fund of Health and Family Planning Commission of Nantong, No. QA2019006 and No. QNZ2023027.
Institutional review board statement: This retrospective and single-center study was approved by the Ethics Committee of Nantong First People’s Hospital (Approval No. 2025KT124).
Informed consent statement: Patient consent was waived owing to the retrospective nature of the study.
Conflict-of-interest statement: No financial or nonfinancial benefits have been received or will be received from any party directly or indirectly related to the subject of this article.
Data sharing statement: All data generated or analyzed during this study are available from the corresponding author Bo-sheng He upon reasonable request.
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/
Corresponding author: Bo-Sheng He, MD, PhD, Department of Radiology, Nantong First People’s Hospital, Affiliated Hospital 2 of Nantong University, No. 666 Shengli Road, Nantong 226001, Jiangsu Province, China. boshenghe@126.com
Received: June 11, 2025
Revised: July 6, 2025
Accepted: July 28, 2025
Published online: August 28, 2025
Processing time: 78 Days and 17.2 Hours
Revised: July 6, 2025
Accepted: July 28, 2025
Published online: August 28, 2025
Processing time: 78 Days and 17.2 Hours
Core Tip
Core Tip: Accurate preoperative T staging is critical for guiding individualized therapeutic strategies in colorectal cancer (CRC). However, conventional computed tomography demonstrates limited diagnostic performance, with reported accuracies ranging from 60.6% to 89%. This study demonstrated that low-energy (40-50 keV) virtual monoenergetic images (VMIs), when combined with multiplanar reformation (MPR), could substantially improve T staging accuracy to as high as 94.27%. While peritumoral fat stranding further enhanced staging accuracy on polyenergetic images, MPR alone achieved an accuracy of 77.07%. These findings supported the incorporation of low-keV VMIs and MPR into routine preoperative imaging protocols to optimize CRC staging and management.