Novel Multiparametric Magnetic Resonance Imaging-Based Deep Learning and Clinical Parameter Integration for the Prediction of Long-Term Biochemical Recurrence-Free Survival in Prostate Cancer after Radical Prostatectomy

Novel Multiparametric Magnetic Resonance Imaging-Based Deep Learning and Clinical Parameter Integration for the Prediction of Long-Term Biochemical Recurrence-Free Survival in Prostate Cancer after Radical Prostatectomy

Radical prostatectomy (RP) is the main treatment of prostate cancer (PCa). Biochemical recurrence (BCR) following RP remains the first sign of aggressive disease; hence, better assessment of potential long-term post-RP BCR-free survival is crucial. Our study aimed to evaluate a combined clinical-dee...

Full description

Bibliographic Details
Main Authors: Hye Won Lee, Eunjin Kim, Inye Na, Chan Kyo Kim, Seong Il Seo, Hyunjin Park
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Cancers
Subjects:
prostate cancer
radical prostatectomy
biochemical recurrence
survival prediction
magnetic resonance imaging
radiomics
Online Access:https://www.mdpi.com/2072-6694/15/13/3416

Internet

https://www.mdpi.com/2072-6694/15/13/3416

Similar Items