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Predicting Outcomes for Genitourinary Malignancies: Role of Radiomics in Clinical Practice Ivan Pedrosa, MD, Maryellen Sun, MD, Masoom Haider, MD Radiomics: An Introduction Ivan Pedrosa, MD Associate Professor of Radiology and Advanced Imaging Research Center Jack Reynolds M.D. Chair in Radiology Co-Leader, Kidney Cancer Program University of Texas Southwestern, Dallas, TX. Disclosures ⚈ Philips Healthcare ⚈ Institutional Research Agreement ⚈ Shared patents ⚈ Siemens Healthineers ⚈ Institutional Research Agreement Radiomics ⚈ This refresher course will review the correlation between imaging phenotypes and the clinical behavior of renal, urothelial, and prostate malignancies ⚈ Emphasize how radiomic features can be used to affect patient care “Radiomics is defined as the conversion of images to higher-dimensional data and the subsequent mining of these data for improved decision support” Gillies RJ, Kinahan PE, Hricak H. Radiology 2016 “Radiomics appears to offer a nearly limitless supply of imaging biomarkers that could potentially aid cancer detection, diagnosis, assessment of prognosis, prediction of response to treatment, and monitoring of disease status” Gillies RJ, Kinahan PE, Hricak H. Radiology 2016 O’Connor JPB et al. Nature Reviews 2016 Biomarker ⚈ A defined characteristic that is measured as an indicator of normal biological processes, pathogenic processes, or responses to an exposure or intervention, including therapeutic interventions. O’Connor JPB et al. Nature Reviews 2016 Imaging Biomarker ⚈ A spatially delineated biomarker derived from measurements made on an image O’Connor JPB et al. Nature Reviews 2016 Imaging Biomarker ⚈ Qualitative: cannot be expressed as a quantity value (ordinal biomarkers) ⚈ Quantitative: magnitude is expressed as a quantity value. O’Connor JPB et al. Nature Reviews 2016 Imaging Biomarker ⚈ Quantitative: Objective characteristic derived from an in vivo image as indicators of normal biological processes, pathogenic processes or a response to a therapeutic intervention O’Connor JPB et al. Nature Reviews 2016 “Radiomic analysis promises to increase precision in diagnosis, assessment of prognosis, and prediction of therapy response” Gillies RJ, Kinahan PE, Hricak H. Radiology 2016 “Radiomics is a new field, and there are substantial challenges to its implementation in a clinical setting ” Gillies RJ, Kinahan PE, Hricak H. Radiology 2016 Radiomics ⚈ What are the unmet clinical needs in kidney/urothelial/prostate cancer? ⚈ Why is Radiomics important now? ⚈ How can we transform personalized medicine with radiomics in patients with kidney/urothelial/prostate cancer? Predicting Outcomes for Genitourinary Malignancies: Role of Radiomics in Clinical Practice Ivan Pedrosa, MD, Maryellen Sun, MD, Masoom Haider, MD