Allison Y Zhong1, Leonardino A Digma1, Troy Hussain1, Christine H Feng1, Christopher C Conlin2, Karen Tye1, Asona J Lui1, Maren MS Andreassen3, Ana E Rodríguez-Soto2, Roshan Karunamuni1, Joshua Kuperman2, Rebecca Rakow-Penner2, Michael E Hahn2, Anders M Dale2,4, and Tyler M Seibert1,2,5
1Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, United States, 2Department of Radiology, University of California San Diego, La Jolla, CA, United States, 3Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 4Department of Neurosciences, University of California San Diego, La Jolla, CA, United States, 5Department of Bioengineering, University of California San Diego, La Jolla, CA, United States
Multiparametric MRI (mpMRI) improves prostate cancer diagnosis, but conventional apparent diffusion coefficient (ADC) and PI-RADS have poor reliability. We evaluated restriction spectrum imaging MRI (RSI-MRI) as a quantitative, patient-level classifier of higher-grade prostate cancer (grade group ≥2) and compared performance to conventional ADC and PI-RADS. Area under the receiver operating characteristic curve values for ADC, RSI-C1, and PI-RADS were 0.58 [0.51,0.67], 0.76 [0.68,0.83], and 0.78 [0.71,0.85], respectively. RSI-C1 was superior to ADC (p=0.003) as a patient-level classifier of higher-grade prostate cancer. Performance of RSI-C1 was comparable to that of PI-RADS (p=0.59).