Publication Name	Artificial Intelligence in Cancer
Manuscript ID	116464
Country	China

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
Manuscript Source	Invited Manuscript
All Author List	Yu-Han Yang and Yuan Li
Funding Agency and Grant Number
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.
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; In press

Received	2025-11-12 02:39
Peer-Review Started	2025-11-12 02:39
First Decision by Editorial Office Director	2025-12-02 08:09
Return for Revision	2025-12-02 08:09
Revised	2025-12-04 17:20
Publication Fee Transferred
Second Decision by Editor	2026-02-02 02:45
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-02-02 07:18
Articles in Press	2026-02-02 07:18
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2644-3228 (online)
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