Machine Learning-Based CT Radiomics Method for Identifying the Stage of Wilms Tumor in Children

Machine Learning-Based CT Radiomics Method for Identifying the Stage of Wilms Tumor in Children

PurposeTo develop and validate a machine learning-based CT radiomics method for preoperatively predicting the stages (stage I and non-stage I) of Wilms tumor (WT) in pediatric patients.MethodsA total of 118 patients with WT, who underwent contrast-enhanced computed tomography (CT) scans in our cente...

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Bibliographic Details
Main Authors: Xiao-Hui Ma, Liqi Shu, Xuan Jia, Hai-Chun Zhou, Ting-Ting Liu, Jia-Wei Liang, Yu-shuang Ding, Min He, Qiang Shu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Pediatrics
Subjects:
Wilms tumor
clinical staging
CT
radiomics
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2022.873035/full

Internet

https://www.frontiersin.org/articles/10.3389/fped.2022.873035/full

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