Keywords: Tumors (Pre-Treatment), Brain
Motivation: Early prediction of prognosis, treatment response, and overall-survival is imperative for adapting appropriate treatment strategies for GBM patients.
Goal(s): To predicting outcome and tumor progression using early imaging changes in underlying tumor pathology
Approach: We performed a longitudinal voxel-based analysis of metabolic and proliferation changes during the course of radiation therapy in terms of their ability to predict progression and survival compared to anatomical tumor volumes.
Results: Voxel-wise subtraction (MidRT-PreRT) of proliferation values was the most correlated with progression free (r=0.54/p=0.004) and overall (r=0.66/p=0.0002) survival, exceeding both tumor volume and CNI. Adding imaging-derived metrics of proliferation mid-RT can improve the prediction of progression.
Impact: Novel imaging-based proliferation maps and voxel-wise analyses show much stronger correlation with progression-free and overall-survival and regions of subsequent progression compared to conventional imaging-markers. These features can potentially aid in early prediction of response, and outcome of patients with GBM.
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