Developing a predictive model for clinically significant prostate cancer by combining age, psa density, and mpmri

HIGHLIGHTS

  • who: Zengni Ma from the Department of Urology, The Fifth Peopleu2019s Hospital of Datong, Datong, China School of Public Health, Shanxi Medical University, Taiyuan , have published the article: Developing a predictive model for clinically significant prostate cancer by combining age, PSA density, and mpMRI, in the Journal: (JOURNAL)
  • what: The study aimed to construct a predictive model for clinically significant prostate cancer (csPCa) and investigate its clinical efficacy to reduce unnecessary prostate biopsies. In both internal and external validation the model constructed by combining age PSAD and PI-RADS v2.1 scores exhibited excellent clinical . . .

     

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