A Neural Network Model Combining [-2]proPSA, freePSA, Total PSA, Cathepsin D, and Thrombospondin-1 Showed Increased Accuracy in the Identification of Clinically Significant Prostate Cancer

SIMPLE SUMMARY: The widespread use of PSA for prostate cancer diagnosis significantly contributed to the high rate of overdiagnosis and overtreatment. For several years, the Prostate Health Index (PHI) has been proposed as a tool able to improve PSA specificity. More recently, the Proclarix test has...

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Detalles Bibliográficos
Autores principales: Gentile, Francesco, La Civita, Evelina, Ventura, Bartolomeo Della, Ferro, Matteo, Bruzzese, Dario, Crocetto, Felice, Tennstedt, Pierre, Steuber, Thomas, Velotta, Raffaele, Terracciano, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000171/
https://www.ncbi.nlm.nih.gov/pubmed/36900150
http://dx.doi.org/10.3390/cancers15051355

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000171/
https://www.ncbi.nlm.nih.gov/pubmed/36900150
http://dx.doi.org/10.3390/cancers15051355

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