Application of Radiomics in Predicting the Prognosis of Medulloblastoma in Children
Radiomic features based on T1-weighted imaging have predictive value for pediatric medulloblastoma. Radiomics has incremental value in predicting the prognosis of MB, and clinical-radiomics models have a better predictive effect than clinical models.
Authors
- Xiaojiao Peng (ORCID: https://orcid.org/0009-0004-6264-6031)
- Ping Yang (ORCID: https://orcid.org/0000-0001-7960-6248)
- Zesheng Ying
- Jia‐Shu Chen (ORCID: https://orcid.org/0000-0002-4533-9476)
- Yingjie Cai (ORCID: https://orcid.org/0000-0001-9421-2001)
- Ming Ge (ORCID: https://orcid.org/0000-0002-4476-4331)
- Hong Zhang (ORCID: https://orcid.org/0000-0003-4037-7497)
- Wenping Ma
- Baojin Shang
- Hailang Sun (ORCID: https://orcid.org/0009-0005-9256-9564)
- Chen Liang (ORCID: https://orcid.org/0000-0002-5745-9491)
- Yuting Liang
- Wei Yang (ORCID: https://orcid.org/0000-0003-3157-6662)
Institutions
- Capital Medical University (CN)
- Beijing Children’s Hospital (CN)
Publication Details
- Journal
- Children
- Published
- 2025-03-20
- DOI
- https://doi.org/10.3390/children12030387
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00