Radiomic Features From Multi-Parameter MRI Combined With Clinical Parameters Predict Molecular Subgroups in Patients With Medulloblastoma.
machine learning
medulloblastoma
molecular subgroups
prediction
radiomics
Journal
Frontiers in oncology
ISSN: 2234-943X
Titre abrégé: Front Oncol
Pays: Switzerland
ID NLM: 101568867
Informations de publication
Date de publication:
2020
2020
Historique:
received:
12
05
2020
accepted:
01
09
2020
entrez:
29
10
2020
pubmed:
30
10
2020
medline:
30
10
2020
Statut:
epublish
Résumé
The 2016 WHO classification of central nervous system tumors has included four molecular subgroups under medulloblastoma (MB) as sonic hedgehog (SHH), wingless (WNT), Grade 3, and Group 4. We aimed to develop machine learning models for predicting MB molecular subgroups based on multi-parameter magnetic resonance imaging (MRI) radiomics, tumor locations, and clinical factors. A total of 122 MB patients were enrolled retrospectively. After selecting robust, non-redundant, and relevant features from 5,529 extracted radiomics features, a random forest model was constructed based on a training cohort (
Identifiants
pubmed: 33117690
doi: 10.3389/fonc.2020.558162
pmc: PMC7566191
doi:
Types de publication
Journal Article
Langues
eng
Pagination
558162Informations de copyright
Copyright © 2020 Yan, Liu, Wang, Zhao, Li, Li, Wang, Yuan, Geng, Zhang, Liu, Duan, Zhan, Pei, Zhao, Sun, Sun, Wang, Hong, Wang, Guo, Li, Cheng, Liu, Ng, Li and Zhang.
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