Lesion Volume in a Bi- or Multivariate Prediction Model for the Management of PI-RADS v2.1 Score 3 Category Lesions

OBJECTIVE: This study aimed at improving the discrimination of Prostate Imaging – Reporting and Data System version 2.1 (PI-RADS v2.1) score 3 suspicious prostate cancer lesions using lesion volume evaluation. MATERIAL AND METHODS: Two hundred five PI-RADS v2.1 score 3 lesions were submitted to tran...

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Detalles Bibliográficos
Autores principales: Martorana, Eugenio, Cristina Aisa, Maria, Grisanti, Riccardo, Santini, Nicola, Maria Pirola, Giacomo, Datti, Alessandro, Gerli, Sandro, Bonora, Alessandra, Burani, Aldo, Battista Scalera, Giovanni, Scialpi, Pietro, Di Blasi, Aldo, Scialpi, Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Turkish Association of Urology 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9612700/
https://www.ncbi.nlm.nih.gov/pubmed/35913442
http://dx.doi.org/10.5152/tud.2022.22038

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9612700/
https://www.ncbi.nlm.nih.gov/pubmed/35913442
http://dx.doi.org/10.5152/tud.2022.22038

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