A novel clinically significant prostate cancer prediction system with multiparametric MRI and PSA: P.Z.A. score

PURPOSE: This study aims to establish and validate a new diagnosis model called P.Z.A. score for clinically significant prostate cancer (csPCa). METHODS: The demographic and clinical characteristics of 956 patients were recorded. Age, prostate-specific antigen (PSA), free/total PSA (f/tPSA), PSA den...

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Detalles Bibliográficos
Autores principales: Chen, Zongxin, Zhang, Jun, Jin, Di, Wei, Xuedong, Qiu, Feng, Wang, Ximing, Zhao, Xiaojun, Pu, Jinxian, Hou, Jianquan, Huang, Yuhua, Huang, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668430/
https://www.ncbi.nlm.nih.gov/pubmed/37996859
http://dx.doi.org/10.1186/s12885-023-11306-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668430/
https://www.ncbi.nlm.nih.gov/pubmed/37996859
http://dx.doi.org/10.1186/s12885-023-11306-2

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