Summary

To date, no study has attempted to integrate imaging biomarkers and tumor gene expression into a statistical model that could constitute a more robust predictor of patient outcome than either biomarkers or gene expression alone. his study explored whether such a model could allow reliable prediction of patient survival and time to tumor recurrence based on a combination of magnetic resonance imaging (MRI) features and tumor gene expression.

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The study is still ongoing and is now being reviewed with the inclusion of Round 2 data as well.

Supporting Documentation and Metadata

Shared Lists

The following shared lists have been created to easily obtain the subset of The Cancer Genome Atlas (TCGA)-GBM images relevant to this study.

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Note: See Section 3.7 of TCIA User Guide for help with Shared Lists.

Clinical and genetic data

Corresponding gene, survival, and recurrence data was obtained from TCGA Data Portal. The following text file contains the full list of sample IDs from the data portal which were used in the preliminary analysis:

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