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

Authors information Article notes Copyright and License information

Background Material and Methods Results Discussion Conclusions References

Related articles Order reprints Share article Share by email

View HTML version

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.

Back to the Article

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

Your Privacy