4.7 Article

Magnetic Resonance Imaging Radiomics-Based Machine Learning Prediction of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions

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Summary: Texture analysis of PI-RADS 3 lesions on T2-weighted and ADC maps images can help identify prostate cancer, and the good diagnostic performance of the combination of multiple radiomic features may aid in predicting lesions where aggressive management may be warranted.

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