Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patients

Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patients

Abstract Gliomas can be classified into five molecular groups based on the status of IDH mutation, 1p/19q codeletion, and TERT promoter mutation, whereas they need to be obtained by biopsy or surgery. Thus, we aimed to use MRI-based radiomics to noninvasively predict the molecular groups and assess...

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Bibliographic Details
Main Authors:	Jing Yan, Bin Zhang, Shuaitong Zhang, Jingliang Cheng, Xianzhi Liu, Weiwei Wang, Yuhao Dong, Lu Zhang, Xiaokai Mo, Qiuying Chen, Jin Fang, Fei Wang, Jie Tian, Shuixing Zhang, Zhenyu Zhang
Format:	Article
Language:	English
Published:	Nature Publishing Group 2021-07-01
Series:	npj Precision Oncology
Online Access:	https://doi.org/10.1038/s41698-021-00205-z

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