Locoregional Radiogenomic Models Capture Gene Expression Heterogeneity in Glioblastoma

Abstract excerpt

Radiogenomics mapping noninvasively determines important relationships between the molecular genotype and imaging phenotype of various tumors, allowing advances in both clinical care and cancer research. While early work has shown its technical feasibility, here we extend radiogenomic mapping to a locoregional level that can account for the molecular heterogeneity of tumors. To achieve this, our data processing pi...

Topics

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• Cancer Genomics and Diagnostics
• Genomics
• Glioblastoma
• Glioma Diagnosis and Treatment
• Neural Networks, Computer
• Phenotype
• Radiomics and Machine Learning in Medical Imaging
• Transcriptome

Identifiers and source

Literature Corpus work

3d1f4a70-4e39-5e4d-babd-38f90962a33a

DOI

10.1101/304105