Beyond Multiparametric MRI and towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant Lesions

SIMPLE SUMMARY: Early diagnosing clinically significant prostate cancer (csPCa) through Magnetic Resonance Imaging (MRI) is very challenging and, nowadays, csPCa confirmation comes exclusively from prostate biopsy. However, biopsy is an invasive procedure and it also frequently causes csPCa misclass...

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Detalles Bibliográficos
Autores principales: Gaudiano, Caterina, Mottola, Margherita, Bianchi, Lorenzo, Corcioni, Beniamino, Cattabriga, Arrigo, Cocozza, Maria Adriana, Palmeri, Antonino, Coppola, Francesca, Giunchi, Francesca, Schiavina, Riccardo, Fiorentino, Michelangelo, Brunocilla, Eugenio, Golfieri, Rita, Bevilacqua, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776977/
https://www.ncbi.nlm.nih.gov/pubmed/36551642
http://dx.doi.org/10.3390/cancers14246156

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776977/
https://www.ncbi.nlm.nih.gov/pubmed/36551642
http://dx.doi.org/10.3390/cancers14246156

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