A novel model to predict positive prostate biopsy based on serum androgen level

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   Figure 1

   Receiver-operator characteristics (ROC) curves of the predicted probability of prostate cancer detection for all 253 patients by PSA (A), %FT (B), PSAD (C) and PSAD-%FT model (D).
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   Figure 2

   Receiver-operator characteristics (ROC) curves of the predicted probability of prostate cancer detection by the PSAD-%FT model (solid curves) and PSA (dotted curves). (A) ROC curves for all 253 patients. (B) ROC curves for 156 patients with PSA levels under 10 ng/mL.
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   Figure 3

   Receiver-operator characteristics (ROC) curves of the predicted probability of prostate cancer detection for 156 patients with PSA levels under 10 ng/mL by PSA (A), %FT (B), PSAD (C) and PSAD-%FT model (D).
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   Figure 4

   Receiver-operator characteristic (ROC) curves of the predicted probability of prostate cancer detection by the PSAD-%FT model (solid curves) and PSA (dotted curves) in a testing cohort. (A) ROC curves for all 88 patients. (B) ROC curves for 59 patients with PSA levels under 10 ng/mL.

• © 2018 The authors