Restriction Spectrum Imaging (RSI) examines diffusion in discrete tissue compartments to better detect and characterize prostate cancer. T2 information from these compartments may further improve prostate cancer evaluation. In this study, RSI data was acquired using multiple echo times to measure both compartmental T2 and diffusion in patients with suspected prostate cancer. A multivariable model was then developed to identify cancer from compartmental T2 and diffusion measurements. Significant differences in compartmental T2 were observed between normal and cancerous prostatic tissue. However, the multivariable model did not significantly improve cancer detection performance over diffusion measurements alone.
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