Publication Name	World Journal of Radiology
Manuscript ID	115503
Country	China

Category	Pediatrics
Manuscript Type	Retrospective Cohort Study
Article Title	Magnetic resonance imaging-based deep-learning radiomics score for survival prediction and risk stratification in pediatric hepatoblastoma receiving surgical resection
Manuscript Source	Invited Manuscript
All Author List	Yu-Han Yang and Yuan Li
Funding Agency and Grant Number
Corresponding Author	Yuan Li, Laboratory of Digestive Surgery, State Key Laboratory of Biotherapy and Cancer Center, Department of Pediatric Surgery, West China Hospital, Sichuan University, No. 37 Guoxue alley, Chengdu 6100000, Sichuan Province, China. l13258389785@126.com
Key Words	Deep learning; Radiomics; Nomogram; Magnetic resonance imaging; Event-free survival; Hepatoblastoma
Core Tip	In the present research, we generated a deep learning based radiomics score in the prediction of event-free survival for children with hepatoblastoma receiving surgical resection from multiple institutions, and developed an integrated clinical-deep learning nomogram based on widely accepted clinicopathologic predictors and the deep learning based radiomics score. The integrated nomogram showed great prediction performance for event-free survival with external validation, which might instruct therapeutic interventions. Further research is needed to validate the risk identification performance for improving clinical practicability and generality.
Citation	Yang YH, Li Y. Magnetic resonance imaging-based deep-learning radiomics score for survival prediction and risk stratification in pediatric hepatoblastoma receiving surgical resection. World J Radiol 2025; In press

Received	2025-10-20 02:11
Peer-Review Started	2025-10-20 02:11
First Decision by Editorial Office Director	2025-11-06 09:07
Return for Revision	2025-11-06 09:07
Revised	2025-11-12 20:03
Publication Fee Transferred
Second Decision by Editor	2025-12-15 02:40
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2025-12-15 07:03
Articles in Press	2025-12-15 07:03
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1949-8470 (online)
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