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3/16/2026 8:15:37 AM | Browse: 3 | Download: 1
Publication Name World Journal of Orthopedics
Manuscript ID 115616
Country China
Received
2025-10-21 05:23
Peer-Review Started
2025-10-21 05:23
First Decision by Editorial Office Director
2025-10-28 09:57
Return for Revision
2025-10-28 09:57
Revised
2025-11-10 12:45
Publication Fee Transferred
Second Decision by Editor
2026-01-05 02:35
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-01-05 11:02
Articles in Press
2026-01-05 11:02
Edit the Manuscript by Language Editor
Typeset the Manuscript
2026-03-06 01:07
Publish the Manuscript Online
2026-03-16 08:15
ISSN 2218-5836 (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) 2026. 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 Orthopedics
Manuscript Type Letter to the Editor
Article Title Limited and frequently overlooked radiological evidence of knee osteoarthritis
Manuscript Source Invited Manuscript
All Author List Jia-Yao Zhu, Lei Chen, Ju Li and Tao-Tao Xu
ORCID
Author(s) ORCID Number
Lei Chen http://orcid.org/0009-0009-4663-6550
Tao-Tao Xu http://orcid.org/0000-0002-2697-1484
Funding Agency and Grant Number
Corresponding Author Tao-Tao Xu, Associate Professor, MD, PhD, Department of Orthopaedics and Traumatology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), No. 54 You Dian Road, Shangcheng District, Hangzhou 310006, Zhejiang Province, China. xut@zcmu.edu.cn
Key Words Knee osteoarthritis; Artificial intelligence; Kellgren–Lawrence; Magnetic resonance imaging; Deep learning models
Core Tip The prevalence of knee osteoarthritis is rising annually, causing chronic pain, impaired joint function, and reduced quality of life. Accurate diagnosis has thus become crucial. With evolving understanding, clinicians must assess all knee compartments comprehensively. The limitations of single diagnostic tools have driven the development of multimodal approaches. These are enhanced by intelligent network technologies that analyze large clinical datasets, enabling deep learning models to improve diagnostic precision.
Publish Date 2026-03-16 08:15
Citation

Zhu JY, Chen L, Li J, Xu TT. Limited and frequently overlooked radiological evidence of knee osteoarthritis. World J Orthop 2026; 17(3): 115616

URL https://www.wjgnet.com/2218-5836/full/v17/i3/115616.htm
DOI https://dx.doi.org/10.5312/wjo.v17.i3.115616
Full Article (PDF) WJO-17-115616-with-cover.pdf
Manuscript File 115616_Auto_Edited_075339.docx
Answering Reviewers 115616-answering-reviewers.pdf
Audio Core Tip 115616-audio.mp3
Conflict-of-Interest Disclosure Form 115616-conflict-of-interest-statement.pdf
Copyright License Agreement 115616-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 115616-non-native-speakers.pdf
Peer-review Report 115616-peer-reviews.pdf
Scientific Misconduct Check 115616-scientific-misconduct-check.png
Scientific Editor Work List 115616-scientific-editor-work-list.pdf
CrossCheck Report 115616-crosscheck-report.pdf