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Abstract #0703

Prospective Validation of an Automated Hybrid Multidimensional MRI Based Tool to Identify Areas for Prostate Cancer Biopsy: Preliminary results

Aritrick Chatterjee1, Carla Harmath1, Roger Engelmann1, Ajit Devaraj2, Ambereen Yousuf1, Scott Eggener3, Glenn Gerber3, Gregory Karczmar1, and Aytekin Oto1
1Department of Radiology, University of Chicago, Chicago, IL, United States, 2Philips Research North America, Chicago, IL, United States, 3Department of Urology, University of Chicago, Chicago, IL, United States

This prospective clinical trial evaluates whether HM-MRI identifies PCa more reliably than random biopsy and/or targets detected based on PI-RADSv2. Patients underwent 3T mpMRI along with HM-MRI. Patients received 12-core TRUS-guided sextant random biopsy. Additional biopsy targets selected by radiologist (≥PI-RADS 3) and suspected PCa based on HM-MRI tissue composition estimates were biopsied, using a Uronav MR-US fusion biopsy device. The diagnostic accuracy of HM-MRI for detecting clinically significant cancers was higher than that of mpMRI on per-tumor (0.74 vs 0.61) and sextant analysis (0.84 vs 0.75). HM-MRI had higher accuracy, sensitivity, specificity and PPV than mpMRI, with similar NPV.

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