Developing a predictive model for clinically significant prostate cancer by combining age, PSA density, and mpMRI

PURPOSE: The study aimed to construct a predictive model for clinically significant prostate cancer (csPCa) and investigate its clinical efficacy to reduce unnecessary prostate biopsies. METHODS: A total of 847 patients from institute 1 were included in cohort 1 for model development. Cohort 2 inclu...

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Detalles Bibliográficos
Autores principales: Ma, Zengni, Wang, Xinchao, Zhang, Wanchun, Gao, Kaisheng, Wang, Le, Qian, Lixia, Mu, Jingjun, Zheng, Zhongyi, Cao, Xiaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990202/
https://www.ncbi.nlm.nih.gov/pubmed/36882854
http://dx.doi.org/10.1186/s12957-023-02959-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990202/
https://www.ncbi.nlm.nih.gov/pubmed/36882854
http://dx.doi.org/10.1186/s12957-023-02959-1

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