Prediction model of gleason score upgrading after radical prostatectomy based on a bayesian network

Prediction model of gleason score upgrading after radical prostatectomy based on a bayesian network

Abstract Objective To explore the clinical value of the Gleason score upgrading (GSU) prediction model after radical prostatectomy (RP) based on a Bayesian network. Methods The data of 356 patients who underwent prostate biopsy and RP in our hospital from January 2018 to May 2021 were retrospectivel...

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Bibliographic Details
Main Authors: Guipeng Wang, Xinning Wang, Haotian Du, Yaozhong Wang, Liguo Sun, Mingxin Zhang, Shengxian Li, Yuefeng Jia, Xuecheng Yang
Format: Article
Language:English
Published: BMC 2023-10-01
Series:BMC Urology
Subjects:
Prostate cancer
Prostate needle biopsy
Bayesian network
Prediction model
Online Access:https://doi.org/10.1186/s12894-023-01330-6

Internet

https://doi.org/10.1186/s12894-023-01330-6

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