Optimized identification of high-grade prostate cancer by combining different psa molecular forms and psa density in a deep learning model

HIGHLIGHTS

• who: Francesco Gentile and collaborators from the Department of Experimental and Clinical Medicine, University Magna Graecia of Catanzaro, Catanzaro, Italy have published the research work: Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model, in the Journal: Diagnostics 2021, 11, 335. of 15/02/2021
• what: The authors report on the impact of a model including PSA, fPSA, p2PSA, and PSAD on the detection of high-grade PC in an initial biopsy cohort of men aged ≥ 50 years, a representative study population for . . .
  

   

  

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