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*In Abdominal radiology (New York) *

**PURPOSE** :

**METHODS** : _{RS}), DWI (DWI_{RS}), and ADC (ADC_{RS}) separately into a regression model. The two RML models, as well as T2WI_{RS}, DWI_{RS}, and ADC_{RS}, were compared using the receiver operating characteristic-derived area under the curve (AUC), calibration plot, and decision-curve analysis (DCA). Two radiologists were asked to give a subjective binary assessment, and Cohen's kappa statistics were calculated.

**RESULTS** : _{RS}, ADC_{RS}, or T2WI_{RS}.

**CONCLUSION** :

*Hou Ying, Bao Mei-Ling, Wu Chen-Jiang, Zhang Jing, Zhang Yu-Dong, Shi Hai-Bin*

*2020-Aug-01*

**Clinically significant prostate cancer, Machine learning, PI-RADS score 3, Radiomics**

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