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Articles Published Processes
9/2/2026 6:35:30 AM | Browse: 1 | Download: 2
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Received |
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2025-11-12 02:39 |
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Peer-Review Started |
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2025-11-12 02:39 |
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First Decision by Editorial Office Director |
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2025-12-02 08:09 |
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Return for Revision |
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2025-12-02 08:09 |
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Revised |
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2025-12-04 17:20 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-02-02 02:45 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-02-02 07:18 |
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Articles in Press |
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2026-02-02 07:18 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-03-13 02:01 |
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Publish the Manuscript Online |
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2026-09-02 06:35 |
| ISSN |
2644-3228 (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
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Pediatrics |
| Manuscript Type |
Retrospective Cohort Study |
| Article Title |
Prognostic value of early changes in artificial intelligence-based computed tomography-measured body composition in pediatric osteosarcoma receiving neoadjuvant chemotherapy
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Yu-Han Yang and Yuan Li |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Yuan Li, MD, Professor, State Key Laboratory of Biotherapy and Cancer Center, Department of Pediatric Surgery, Laboratory of Digestive Surgery, West China Hospital, Sichuan University, a, Chengdu 6100000, Sichuan Province, China. l13258389785@126.com |
| Key Words |
Overall survival; Artificial intelligence; Body composition; Pediatrics; Osteosarcoma |
| Core Tip |
Using artificial intelligence based automated computed tomography analysis of the third lumbar vertebra body composition in 133 pediatric osteosarcoma patients, early reductions in skeletal muscle density during neoadjuvant chemotherapy were independently associated with poor histologic response and shorter overall survival. An integrated index combining age, post chemotherapy inflammatory indicator and change of skeletal muscle density improved prediction of treatment response and prognosis, suggesting that early computed tomography-derived muscle metrics can guide timely nutritional and rehabilitative interventions to potentially improve outcomes. |
| Publish Date |
2026-09-02 06:35 |
| Citation |
Yang YH, Li Y. Prognostic value of early changes in artificial intelligence-based computed tomography-measured body composition in pediatric osteosarcoma receiving neoadjuvant chemotherapy. Artif Intell Cancer 2026; 7(1): 116464
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| URL |
https://www.wjgnet.com/2644-3228/full/v7/i1/116464.htm |
| DOI |
https://doi.org/10.35713/aic.v7.i1.116464 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
