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2/5/2024 12:42:30 PM | Browse: 107 | Download: 64
Publication Name World Journal of Gastroenterology
Manuscript ID 88766
Country/Territory China
Received
2023-10-20 13:10
Peer-Review Started
2023-10-20 13:10
To Make the First Decision
Return for Revision
2023-12-05 07:27
Revised
2023-12-18 14:39
Second Decision
2024-01-15 02:48
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2024-01-15 05:15
Articles in Press
2024-01-15 05:15
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2024-01-29 03:17
Publish the Manuscript Online
2024-02-05 12:08
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: http://creativecommons.org/Licenses/by-nc/4.0/
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Gastroenterology & Hepatology
Manuscript Type Retrospective Study
Article Title Preoperative prediction of lymphovascular and perineural invasion in gastric cancer using spectral computed tomography imaging and machine learning
Manuscript Source Invited Manuscript
All Author List Hui-Ting Ge, Jian-Wu Chen, Li-Li Wang, Tian-Xiu Zou, Bin Zheng, Yuan-Fen Liu, Yun-Jing Xue and Wei-Wen Lin
Funding Agency and Grant Number
Funding Agency Grant Number
Science and Technology Project of Fujian Province 2022Y0025
Corresponding Author Wei-Wen Lin, PhD, Doctor, Professor, Researcher, Department of Radiology, Fujian Medical University Union Hospital, Xinquan Road, Gulou District, Fuzhou 350001, Fujian Province, China. wwl152559063@163.com
Key Words Spectral computed tomography; Gastric cancer; Lymphovascular invasion; Perineural invasion
Core Tip This study developed a machine learning model using clinical indicators and spectral computed tomography (CT) imaging parameters to preoperatively predict lymphovascular and perineural invasive risk in gastric cancer patients. The model combining CT staging, extramural vein invasive based on CT, and quantitative spectral CT measures had high accuracy for noninvasive prediction of these important histological features.
Publish Date 2024-02-05 12:08
Citation Ge HT, Chen JW, Wang LL, Zou TX, Zheng B, Liu YF, Xue YJ, Lin WW. Preoperative prediction of lymphovascular and perineural invasion in gastric cancer using spectral computed tomography imaging and machine learning. World J Gastroenterol 2024; 30(6): 542-555
URL https://www.wjgnet.com/1007-9327/full/v30/i6/542.htm
DOI https://dx.doi.org/10.3748/wjg.v30.i6.542
Full Article (PDF) WJG-30-542-with-cover.pdf
Full Article (Word) WJG-30-542.docx
Manuscript File 88766_Auto_Edited-YJP.docx
Answering Reviewers 88766-Answering reviewers.pdf
Audio Core Tip 88766-Audio core tip.mp4
Biostatistics Review Certificate 88766-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 88766-Conflict-of-interest statement.pdf
Copyright License Agreement 88766-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s) 88766-Grant application form(s).pdf
Signed Informed Consent Form(s) or Document(s) 88766-Informed consent statement.pdf
Institutional Review Board Approval Form or Document 88766-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate 88766-Language certificate.pdf
Peer-review Report 88766-Peer-review(s).pdf
Scientific Misconduct Check 88766-Bing-Wang JJ-2.png
Scientific Editor Work List 88766-Scientific editor work list.pdf