The purpose of this study was to investigate the value and diagnostic efficiency of DWI,T1WI and T2WI using texture analysis for discriminating the gleason scores of prostate cancer. The results of this study indicate that texture analysis may provide a new method for Gleason classification of prostate cancer. A radiomics model of textural features from T2WI and ADC maps have a good diagnostic accuracy in patients of a prostate cancer. Quantitative textural analysis may help distinguish low cancers form high- or intermediate-grade cancer with high sensitivity and moderate specificity.
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