Quantification of Gleason Pattern 4 at MRI-Guided Biopsy to Predict Adverse Pathology at Radical Prostatectomy in Intermediate-Risk Prostate Cancer Patients

Despite using forward and backward stepwise selection, we failed to develop a multivariable logistic regression model with more than one statistically significant variable, probably due to multiple, highly significant interdependencies between the analyzed factors, as demonstrated in the Spearman’s rank correlation analysis ( Table S2 ).

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