Imaging Genetic Heterogeneity in Glioblastoma and Other Glial Tumors: Review of Current Methods and Future Directions.
OBJECTIVE
The purpose of this review is to summarize advances in the molecular analysis of gliomas, the role genetics plays in MRI features, and how machine-learning approaches can be used to survey the tumoral environment.


CONCLUSION
The genetic profile of gliomas influences the course of treatment and clinical outcomes. Though biopsy is the reference standard for determining tumor genetics, it can suffer diagnostic delays due to surgical planning and pathologic assessment. Radiogenomics may allow rapid, low-risk characterization of genetic heterogeneity.
['Chow|Daniel|D|', 'Chang|Peter|P|', 'Weinberg|Brent D|BD|', 'Bota|Daniela A|DA|', 'Grinband|Jack|J|', 'Filippi|Christopher G|CG|']
D001932:Brain Neoplasms D018740:Genetic Heterogeneity D005909:Glioblastoma D006801:Humans D008279:Magnetic Resonance Imaging
glioblastoma radiogenomics machine learning