Biparametric prostate MRI: impact of a deep learning-based software and of quantitative ADC values on the inter-reader agreement of experienced and inexperienced readers

OBJECTIVE: To investigate the impact of an artificial intelligence (AI) software and quantitative ADC (qADC) on the inter-reader agreement, diagnostic performance, and reporting times of prostate biparametric MRI (bpMRI) for experienced and inexperienced readers. MATERIALS AND METHODS: A total of 17...

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Detalles Bibliográficos
Autores principales: Cipollari, Stefano, Pecoraro, Martina, Forookhi, Alì, Laschena, Ludovica, Bicchetti, Marco, Messina, Emanuele, Lucciola, Sara, Catalano, Carlo, Panebianco, Valeria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2022
Materias:
Computer Application
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587977/
https://www.ncbi.nlm.nih.gov/pubmed/36114928
http://dx.doi.org/10.1007/s11547-022-01555-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587977/
https://www.ncbi.nlm.nih.gov/pubmed/36114928
http://dx.doi.org/10.1007/s11547-022-01555-9

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