Radiomic profiles in diffuse glioma reveal distinct subtypes with prognostic value.
Peng LinYu-Ting PengRui-Zhi GaoYan WeiXiao-Jiao LiSu-Ning HuangYe-Ying FangZhu-Xin WeiZhi-Guang HuangHong YangGang ChenPublished in: Journal of cancer research and clinical oncology (2020)
A radiomic model derived from multi-parameter MRI of the gliomas was successful in the risk stratification of diffuse glioma patients. These data suggested that radiomics provided an alternative approach for survival estimation and may improve clinical decision-making.
Keyphrases
- end stage renal disease
- decision making
- ejection fraction
- newly diagnosed
- low grade
- contrast enhanced
- chronic kidney disease
- magnetic resonance imaging
- prognostic factors
- high grade
- genome wide
- electronic health record
- squamous cell carcinoma
- machine learning
- magnetic resonance
- computed tomography
- dna methylation
- free survival