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.

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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
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article

Development of intelligent tools to predict neuroblastoma risk stratification and overall prognosis based on multiphase enhanced CT and clinical features

Wei Zhao, Yahui Han, Xiaokun Yu, Juan Li et al.
Frontiers in Neurology
Neuroblastoma Research and Treatments
article

Development of intelligent tools to predict neuroblastoma risk stratification and overall prognosis based on multiphase enhanced CT and clinical features

Wei Zhao, Yahui Han, Xiaokun Yu, Juan Li, Jiao Zhang, Jianing Liu
article en

Abstract

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.

Frontiers in NeurologyVol. 16
First Affiliated Hospital of Zhengzhou University (CN)
Life in Land
Openalex Percentile: Top 78%
Neuroblastoma Research and Treatments
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Development of intelligent tools to predict neuroblastoma risk stratification and overall prognosis based on multiphase enhanced CT and clinical features — Wei Zhao, Yahui Han, et al. · Frontiers in Neurology (2025) | TGRS Research Map | TGRS