Ahmad Algohary1, Satish Viswanath1, Sadhna Verma2, and Anant Madabhushi1
1Case Western Reserve University, Cleveland, OH, United States, 2University of Cincinnati, Cincinnati, OH, United States
Active Surveillance (AS) offers an
important alternative to radical treatment as more men die with prostate cancer
(PCA) than of the disease. In this study, we explore the role of radiomic texture
features on a pre-biopsy screening 3 Tesla multi-parametric MRI that can predict
which men with elevated PSA will have a cancer-positive or cancer-negative
biopsy. The selected texture features correctly identified 14/15
biopsy-negative (compared to 10/15 cases correctly identified by PIRADS) and 23/30
biopsy-positive cases (compared to only 15/30 correctly identified by PIRADS). These
features appear to enhance differentiation between biopsy-positive and
biopsy-negative prostate cancer patients on Active Surveillance.
