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Abstract #0830

Delta Radiomic Features from serial bi-parametric MRI are associated with biopsy upgrading of prostate cancer patients on Active Surveillance

Rakesh Shiradkar1, Ruyuan Zuo1, Amr Mahran2, Lin Li1, Britt Conroy2,3, Lee Ponsky2,3, Sree Harsha Tirumani2,3, and Anant Madabhushi1
1Case Western Reserve University, Cleveland, OH, United States, 2UH Cleveland Medical Center, Cleveland, OH, United States, 3Case Western Reserve University School of Medicine, Cleveland, OH, United States

Serial MRI allows for non-invasive monitoring of prostate cancer patients on Active Surveillance (AS). However, repeat biopsies continue to be defacto standard for AS monitoring due to limitations of MRI. In this study, we sought to compute delta changes in radiomic features on serial bi-parametric MRI and evaluate their associations with biopsy upgrading. We observed that delta radiomic features that quantify underlying spatial, gradient based heterogeneity were associated with biopsy upgrading. On univariable and multivariable analysis with routine clinical variables, we observed that none of the clinical variables were significant while delta radiomic classifier predictions were significant and independently predictive.

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