S22-156 Imaging features for treatment selection, disease monitoring, and outcome prediction Stanford scientist has developed a computational method that extracts quantitative imaging features that reproducibly describe lesion phenotypes associated with treatment response and clinical outcomes in cancer. Haruka Itakura