Abstract #4090

Automated patient-level detection of grade group ≥2 prostate cancer using quantitative restriction spectrum imaging MRI

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 Dale^2,4, and Tyler M Seibert^1,2,5

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).

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