Prediction of Pathologic Findings with MRI-Based Clinical Staging Using the Bayesian Network Modeling in Prostate Cancer: A Radiation Oncologist Perspective

PURPOSE: This study aimed to develop a model for predicting pathologic extracapsular extension (ECE) and seminal vesicle invasion (SVI) while integrating magnetic resonance imaging-based T-staging (cT(MRI), cT1c-cT3b). MATERIALS AND METHODS: A total of 1,915 who underwent radical prostatectomy betwe...

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Detalles Bibliográficos
Autores principales: Wee, Chan Woo, Jang, Bum-Sup, Kim, Jin Ho, Jeong, Chang Wook, Kwak, Cheol, Kim, Hyun Hoe, Ku, Ja Hyeon, Kim, Seung Hyup, Cho, Jeong Yeon, Kim, Sang Youn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Cancer Association 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756129/
https://www.ncbi.nlm.nih.gov/pubmed/34015891
http://dx.doi.org/10.4143/crt.2020.1221

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756129/
https://www.ncbi.nlm.nih.gov/pubmed/34015891
http://dx.doi.org/10.4143/crt.2020.1221

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