Publication Name	World Journal of Radiology
Manuscript ID	103359
Country	China

Received	2024-11-29 08:02
Peer-Review Started	2024-11-29 08:02
To Make the First Decision
Return for Revision	2025-03-04 08:49
Revised	2025-03-17 10:26
Second Decision	2025-03-26 02:39
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-03-26 07:30
Articles in Press	2025-03-26 07:30
Publication Fee Transferred	2025-03-20 03:34
Edit the Manuscript by Language Editor
Typeset the Manuscript	2025-04-21 03:30
Publish the Manuscript Online	2025-04-22 06:49

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) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
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Category	Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type	Retrospective Study
Article Title	Spectral computed tomography parameters of primary tumors and lymph nodes for predicting tumor deposits in colorectal cancer
Manuscript Source	Unsolicited Manuscript
All Author List	Yi-Fan Lai, Zhao-Ming Liang, Jing-Fang Li, Jia-Ying Zhang, Ding-Hua Xu and Hai-Yang Dai
ORCID	Author(s) ORCID Number Hai-Yang Dai http://orcid.org/0000-0001-5875-2262
Funding Agency and Grant Number
Corresponding Author	Hai-Yang Dai, MD, Department of Radiology, Huizhou Central People’s Hospital, No. 41 North Eling Road, Huizhou 516001, Guangdong Province, China. d.ocean@163.com
Key Words	Spectral computed tomography; Colorectal cancer; Tumor deposits; Predicting effectiveness
Core Tip	In this study, spectral computed tomography (CT) parameters of the primary colorectal cancer (CRC) lesions and the largest regional lymph nodes (LNs) were used to predict tumor deposits in CRC. Additionally, we innovatively introduced the parameter of the LN-to-primary tumor ratio from 18F-Fluorodeoxyglucose positron emission tomography/CT into the spectral CT study. It was found that the LN-to-primary tumor ratio has greater diagnostic efficacy than the spectral CT parameters of a single region.
Publish Date	2025-04-22 06:49
Citation	<p>Lai YF, Liang ZM, Li JF, Zhang JY, Xu DH, Dai HY. Spectral computed tomography parameters of primary tumors and lymph nodes for predicting tumor deposits in colorectal cancer. <i>World J Radiol</i> 2025; 17(4): 103359</p>
URL	https://www.wjgnet.com/1949-8470/full/v17/i4/103359.htm
DOI	https://dx.doi.org/10.4329/wjr.v17.i4.103359

Full Article (PDF)	WJR-17-103359-with-cover.pdf
Manuscript File	103359_Auto_Edited_063158.docx
Answering Reviewers	103359-answering-reviewers.pdf
Audio Core Tip	103359-audio.wav
Biostatistics Review Certificate	103359-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form	103359-conflict-of-interest-statement.pdf
Copyright License Agreement	103359-copyright-assignment.pdf
Signed Informed Consent Form(s) or Document(s)	103359-informed-consent-statement.pdf
Institutional Review Board Approval Form or Document	103359-institutional-review-board-statement.pdf
Non-Native Speakers of English Editing Certificate	103359-non-native-speakers.pdf
Peer-review Report	103359-peer-reviews.pdf
Scientific Misconduct Check	103359-scientific-misconduct-check.png
Scientific Editor Work List	103359-scientific-editor-work-list.pdf
CrossCheck Report	103359-crosscheck-report.pdf