Development of a nomogram based on radiomics and semantic features for predicting chromosome 7 gain/chromosome 10 loss in IDH wild-type histologically low-grade gliomas

Development of a nomogram based on radiomics and semantic features for predicting chromosome 7 gain/chromosome 10 loss in IDH wild-type histologically low-grade gliomas

PurposeTo predict chromosome 7 gain and chromosome 10 loss (+7/-10) in IDH wild-type (IDH-wt) histologically low-grade gliomas (LGG) by machine learning models based on MRI radiomics and semantic features.MethodsA total of 122 patients diagnosed as IDH-wt histologically LGG were retrospectively incl...

Full description

Bibliographic Details
Main Authors: Xin Kong, Yu Mao, Fengjun Xi, Yan Li, Yuqi Luo, Jun Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Oncology
Subjects:
machine learning
radiomics
glioma
nomogram
linear discriminant analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1196614/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1196614/full

Similar Items