Publication Name	World Journal of Gastroenterology
Manuscript ID	91697
Country	China

Received	2024-01-02 15:19
Peer-Review Started	2024-01-02 15:19
To Make the First Decision
Return for Revision	2024-01-31 06:13
Revised	2024-02-08 08:11
Second Decision	2024-03-20 02:36
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2024-03-20 04:16
Articles in Press	2024-03-20 04:16
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-04-22 01:11
Publish the Manuscript Online	2024-04-26 08:53

ISSN	1007-9327 (print) and 2219-2840 (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) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
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Category	Medicine, Research & Experimental
Manuscript Type	Retrospective Study
Article Title	Preoperative prediction of perineural invasion of rectal cancer based on a magnetic resonance imaging radiomics model: A dual-center study
Manuscript Source	Unsolicited Manuscript
All Author List	Yan Liu, Bai-Jin-Tao Sun, Chuan Zhang, Bing Li, Xiao-Xuan Yu and Yong Du
ORCID	Author(s) ORCID Number Yan Liu http://orcid.org/0009-0006-7654-5463 Xiao-Xuan Yu http://orcid.org/0000-0003-1236-5414 Yong Du http://orcid.org/0000-0002-8119-3195
Funding Agency and Grant Number
Corresponding Author	Yong Du, MD, Professor, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, No. 1 Maoyuannan Road, Nanchong 637000, Sichuan Province, China. duyong@nsmc.edu.cn
Key Words	Rectal cancer; Perineural invasion; Magnetic resonance imaging; Radiomics; Nomogram
Core Tip	We constructed radiomics predictive models, clinical predictive model and clinical-radiomics (CR) model based on preoperative magnetic resonance imaging images of rectal cancer (RC), and independent clinical risk factors, to predict the preoperative perineural invasion (PNI) status of RC patients. The reliability and repeatability of the established predictive models were analyzed using internal and external validation groups. The CR model had the best stable neutral performance in both the internal and external validation groups. Therefore, the CR model was able to predict the PNI status of RC noninvasively before surgery, thereby providing support for the individualized treatment of RC patients.
Publish Date	2024-04-26 08:53
Citation	Liu Y, Sun BJT, Zhang C, Li B, Yu XX, Du Y. Preoperative prediction of perineural invasion of rectal cancer based on a magnetic resonance imaging radiomics model: A dual-center study. World J Gastroenterol 2024; 30(16): 2233-2248
URL	https://www.wjgnet.com/1007-9327/full/v30/i16/2233.htm
DOI	https://dx.doi.org/10.3748/wjg.v30.i16.2233

Full Article (PDF)	WJG-30-2233-with-cover.pdf
Manuscript File	91697_Auto_Edited-YJP.docx
Answering Reviewers	91697-Answering reviewers.pdf
Audio Core Tip	91697-Audio core tip.mp3
Biostatistics Review Certificate	91697-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form	91697-Conflict-of-interest statement.pdf
Copyright License Agreement	91697-Copyright license agreement.pdf
Signed Informed Consent Form(s) or Document(s)	91697-Informed consent statement.pdf
Institutional Review Board Approval Form or Document	91697-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate	91697-Language certificate.pdf
Supplementary Material	91697-Supplementary material.pdf
Peer-review Report	91697-Peer-review(s).pdf
Scientific Misconduct Check	91697-Bing-Qu XL-2.jpg
Scientific Editor Work List	91697-Scientific editor work list.pdf