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Machine learning model for the prediction of prostate cancer in patients with low prostate-specific antigen levels: A multicenter retrospective analysis
OBJECTIVE: The aim of this study was to develop a predictive model to improve the accuracy of prostate cancer (PCa) detection in patients with prostate specific antigen (PSA) levels ≤20 ng/mL at the initial puncture biopsy. METHODS: A total of 146 patients (46 with Pca, 31.5%) with PSA ≤20 ng/mL who...
Autores principales: | Deng, Xiaobin, Li, Tianyu, Mo, Linjian, Wang, Fubo, Ji, Jin, He, Xing, Mohamud, Bashir Hussein, Pradhan, Swadhin, Cheng, Jiwen |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433549/ https://www.ncbi.nlm.nih.gov/pubmed/36059701 http://dx.doi.org/10.3389/fonc.2022.985940 |
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