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...

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Detalles Bibliográficos
Autores principales: Deng, Xiaobin, Li, Tianyu, Mo, Linjian, Wang, Fubo, Ji, Jin, He, Xing, Mohamud, Bashir Hussein, Pradhan, Swadhin, Cheng, Jiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
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

Internet

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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