Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. <i>Diagnostics</i> 2021, <i>11</i>, 335
Joshua S. Jue,
David Mikhail,
Javier González,
Mahmoud Alameddine
Affiliations
Joshua S. Jue
Department of Urology, Lenox Hill Hospital, Northwell Health, Zucker School of Medicine at Hofstra/Northwell, New York, NY 10028, USA
David Mikhail
Department of Urology, Lenox Hill Hospital, Northwell Health, Zucker School of Medicine at Hofstra/Northwell, New York, NY 10028, USA
Javier González
Department of Urology, Hospital General Universitario Gregorio Marañón, 28007 Madrid, Spain
Mahmoud Alameddine
Ottumwa Regional Health Center, Department of Urology, Ottumwa, IA 52501, USA
Prostate-specific antigen (PSA) has been criticized for its low specificity for prostate cancer, which has led to the increased adoption of additional biomarkers, PSA density (PSAD), and multiparametric magnetic resonance imaging (mpMRI) to increase the localization, risk stratification, and diagnosis of prostate cancer [...]
