Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors.

CONCLUSION: Radiomics feature-based classifiers may be useful to predict LGG grades. However, radiomics classifiers may have a limited value when applied to the nonenhancing LGG subgroup in a TCGA cohort. PMID: 31464116 [PubMed - in process]
Source: Korean J Radiol - Category: Radiology Authors: Tags: Korean J Radiol Source Type: research