Machine Learning-Based Prediction of Pathological Upgrade From Combined Transperineal Systematic and MRI-Targeted Prostate Biopsy to Final Pathology: A Multicenter Retrospective Study

OBJECTIVE: This study aimed to evaluate the pathological concordance from combined systematic and MRI-targeted prostate biopsy to final pathology and to verify the effectiveness of a machine learning-based model with targeted biopsy (TB) features in predicting pathological upgrade. MATERIALS AND MET...

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Detalles Bibliográficos
Autores principales: Zhuang, Junlong, Kan, Yansheng, Wang, Yuwen, Marquis, Alessandro, Qiu, Xuefeng, Oderda, Marco, Huang, Haifeng, Gatti, Marco, Zhang, Fan, Gontero, Paolo, Xu, Linfeng, Calleris, Giorgio, Fu, Yao, Zhang, Bing, Marra, Giancarlo, Guo, Hongqian
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/PMC9021959/
https://www.ncbi.nlm.nih.gov/pubmed/35463339
http://dx.doi.org/10.3389/fonc.2022.785684

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021959/
https://www.ncbi.nlm.nih.gov/pubmed/35463339
http://dx.doi.org/10.3389/fonc.2022.785684

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