Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model

Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model

After skin cancer, prostate cancer (PC) is the most common cancer among men. The gold standard for PC diagnosis is based on the PSA (prostate-specific antigen) test. Based on this preliminary screening, the physician decides whether to proceed with further tests, typically prostate biopsy, to confir...

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Bibliographic Details
Main Authors: Francesco Gentile, Matteo Ferro, Bartolomeo Della Ventura, Evelina La Civita, Antonietta Liotti, Michele Cennamo, Dario Bruzzese, Raffaele Velotta, Daniela Terracciano
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Diagnostics
Subjects:
prostate cancer
artificial neural network
PSA molecular forms
PSA density
tumor markers
Online Access:https://www.mdpi.com/2075-4418/11/2/335

Internet

https://www.mdpi.com/2075-4418/11/2/335

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