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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...
Autores principales: | Chen, Zongxin, Zhang, Jun, Jin, Di, Wei, Xuedong, Qiu, Feng, Wang, Ximing, Zhao, Xiaojun, Pu, Jinxian, Hou, Jianquan, Huang, Yuhua, Huang, Chen |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
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 |
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