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

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 retrospectively analy...

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Detalles Bibliográficos
Autores principales: Wang, Guipeng, Wang, Xinning, Du, Haotian, Wang, Yaozhong, Sun, Liguo, Zhang, Mingxin, Li, Shengxian, Jia, Yuefeng, Yang, Xuecheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560421/
https://www.ncbi.nlm.nih.gov/pubmed/37805462
http://dx.doi.org/10.1186/s12894-023-01330-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560421/
https://www.ncbi.nlm.nih.gov/pubmed/37805462
http://dx.doi.org/10.1186/s12894-023-01330-6

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