Diagnosis of Prostate Cancer in Patients with Prostate-Specific Antigen (PSA) in the Gray Area: Construction of 2 Predictive Models

Ming Chen; Ting Ma; Jun Li; Hai-Jun Zhang; Qiang Li; Jia-Jia Wang; Tian Sang; Chun-Li Cao; Xin-Wu Cui

doi:10.12659/MSM.929913

08 February 2021: Clinical Research

Diagnosis of Prostate Cancer in Patients with Prostate-Specific Antigen (PSA) in the Gray Area: Construction of 2 Predictive Models

Ming Chen ^1BCE* , Ting Ma ^1CDE* , Jun Li ^1AEG* , Hai-Jun Zhang ^2D , Qiang Li ^3F , Jia-Jia Wang ^1F , Tian Sang ^1B , Chun-Li Cao ^1D , Xin-Wu Cui ^4AEF*

DOI: 10.12659/MSM.929913

Med Sci Monit 2021; 27:e929913

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Figure 1 The ROC curve of univariate and multivariate analysis for predicting PCa. PSAD – prostate-specific antigen density; f/t PSA – free/total prostate-specific antigen; mpMRI – multiparametric magnetic resonance imaging.

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Diagnosis of Prostate Cancer in Patients with Prostate-Specific Antigen (PSA) in the Gray Area: Construction of 2 Predictive Models

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