Publication Name	World Journal of Gastroenterology
Manuscript ID	94095
Country	China

Received	2024-03-11 07:59
Peer-Review Started	2024-03-11 07:59
To Make the First Decision
Return for Revision	2024-08-22 04:36
Revised	2024-09-05 04:38
Second Decision	2024-09-18 02:47
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-09-18 05:34
Articles in Press	2024-09-18 05:34
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-09-19 07:49
Publish the Manuscript Online	2024-09-29 09:24

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/
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Category	Gastroenterology & Hepatology
Manuscript Type	Letter to the Editor
Article Title	Review on article of preoperative prediction in chronic hepatitis B virus patients using spectral computed tomography and machine learning
Manuscript Source	Invited Manuscript
All Author List	Yao-Qian Yuan and Qian-Qian Chen
ORCID	Author(s) ORCID Number Qian-Qian Chen http://orcid.org/0009-0006-9078-5711
Funding Agency and Grant Number
Corresponding Author	Qian-Qian Chen, MD, Associate Chief Physician, Associate Professor, Department of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing 100853, China. qian_qian_chen@163.com
Key Words	Gastric cancer; Spectral computed tomography; Perineural invasion; Lymphovascular invasion; Machine learning
Core Tip	Accurate preoperative assessment of gastric cancer staging and tumor aggressiveness is critical for the development of individualized treatment. Previous studies have shown that lymphovascular invasion (LVI) and perineural invasion (PNI) can predict tumor invasion and patient prognosis; therefore, preoperative LVI and PNI assessment can help oncologists identify high-risk categories of gastric cancer patients preoperatively and predict outcomes. This letter comments on a published study that showed that the accurate preoperative identification of LVI/PNI in gastric cancer can be achieved by merging clinical markers with portal venous and equilibrium phase spectral computed tomography characteristics.
Publish Date	2024-09-29 09:24
Citation	<p>Yuan YQ, Chen QQ. Review on article of preoperative prediction in chronic hepatitis B virus patients using spectral computed tomography and machine learning. <i>World J Gastroenterol</i> 2024; 30(38): 4239-4241</p>
URL	https://www.wjgnet.com/1007-9327/full/v30/i38/4239.htm
DOI	https://dx.doi.org/10.3748/wjg.v30.i38.4239

Full Article (PDF)	WJG-30-4239-with-cover.pdf
Manuscript File	94095_Auto_Edited_012410.docx
Answering Reviewers	94095-answering-reviewers.pdf
Audio Core Tip	94095-audio.mp3
Conflict-of-Interest Disclosure Form	94095-conflict-of-interest-statement.pdf
Copyright License Agreement	94095-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate	94095-non-native-speakers.pdf
Peer-review Report	94095-peer-reviews.pdf
Scientific Misconduct Check	94095-scientific-misconduct-check.png
Scientific Editor Work List	94095-scientific-editor-work-list.pdf
CrossCheck Report	94095-crosscheck-report.pdf