Publication Name	World Journal of Radiology
Manuscript ID	118196
Country	South Korea

Category	Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type	Letter to the Editor
Article Title	Magnetic resonance imaging-based deep learning radiomics for preoperative risk stratification in pediatric hepatoblastoma
Manuscript Source	Invited Manuscript
All Author List	Ujjayita Chowdhury, Atharva A Mahajan, Muthu Subash Kavitha, Ramya Lakshmi Rajendran, Prakash Gangadaran and Byeong-Cheol Ahn
Funding Agency and Grant Number
Corresponding Author	Byeong-Cheol Ahn, Department of Nuclear Medicine, School of Medicine, Kyungpook National University, 680, Gukchaebosang ro, Jung gu, Daegu 41944, South Korea. abc2000@knu.ac.kr
Key Words	Pediatric hepatoblastoma; Magnetic resonance imaging radiomics; Deep learning; Event-free survival; Preoperative risk stratification; Alpha-fetoprotein; Pretreatment extension of disease stage; Nomogram
Core Tip	Accurate preoperative risk stratification remains challenging in pediatric hepatoblastoma. This study demonstrates that a magnetic resonance imaging-based deep learning radiomics score predicts event-free survival and refines risk stratification beyond conventional clinical factors. Integration with pretreatment extension of disease stage and alpha-fetoprotein improves prognostic accuracy, supporting noninvasive, imaging-driven decision-making for individualized.
Citation	Chowdhury U, Mahajan AA, Kavitha MS, Rajendran RL, Gangadaran P, Ahn BC. Magnetic resonance imaging-based deep learning radiomics for preoperative risk stratification in pediatric hepatoblastoma. World J Radiol 2026; In press

Received	2025-12-28 08:35
Peer-Review Started	2025-12-28 08:35
First Decision by Editorial Office Director	2026-01-12 09:11
Return for Revision	2026-01-12 09:11
Revised	2026-01-21 03:34
Publication Fee Transferred
Second Decision by Editor	2026-02-04 02:44
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-02-04 12:34
Articles in Press	2026-02-04 12:34
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1949-8470 (online)
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