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Development and validation of a clinical nomogram based on lasso-logistic regression for predicting prostate cancer with PSA 4-20.0 ng/mL: a retrospective study
Abstract Background: Given the established diagnostic utility of the prostate health index (PHI) in prostate cancer (PCa), this study sought to incorporate PHI into a clinically applicable prediction model alongside conventional parameters, with the goal of refining biopsy selection in men presenting with PSA values of 4–20 ng/mL. Methods: We retrospectively collected clinical data from patients undergoing prostate biopsy at tertiary medical centers in China.
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