CT-Based Radiomics Signature With Machine Learning Predicts MYCN Amplification in Pediatric Abdominal Neuroblastoma

CT-Based Radiomics Signature With Machine Learning Predicts MYCN Amplification in Pediatric Abdominal Neuroblastoma

PurposeMYCN amplification plays a critical role in defining high-risk subgroup of patients with neuroblastoma. We aimed to develop and validate the CT-based machine learning models for predicting MYCN amplification in pediatric abdominal neuroblastoma.MethodsA total of 172 patients with MYCN amplifi...

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Bibliographic Details
Main Authors: Xin Chen, Haoru Wang, Kaiping Huang, Huan Liu, Hao Ding, Li Zhang, Ting Zhang, Wenqing Yu, Ling He
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Oncology
Subjects:
children
abdomen
neuroblastoma
MYCN
radiomics
prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.687884/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.687884/full

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