Development of intelligent tools to predict neuroblastoma risk stratification and overall prognosis based on multiphase enhanced CT and clinical features
This study successfully developed a deep learning model based on multiphase enhanced CT images and clinical features to predict risk stratification and prognosis in NB. The findings provide a new tool for clinical practice and lay the foundation for future precision medicine and personalized treatment.
Authors
- Wei Zhao (ORCID: https://orcid.org/0000-0002-4839-6791)
- Yahui Han
- Xiaokun Yu (ORCID: https://orcid.org/0000-0003-0487-6125)
- Juan Li (ORCID: https://orcid.org/0000-0002-9991-1538)
- Jiao Zhang (ORCID: https://orcid.org/0000-0002-6466-6384)
- Jianing Liu (ORCID: https://orcid.org/0000-0002-3373-4241)
Institutions
- First Affiliated Hospital of Zhengzhou University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-06-19
- DOI
- https://doi.org/10.3389/fneur.2025.1573398
- Primary Topic
- Neuroblastoma Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00