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

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

ObjectiveThis 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 Method...

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Bibliographic Details
Main Authors: Junlong Zhuang, Yansheng Kan, Yuwen Wang, Alessandro Marquis, Xuefeng Qiu, Marco Oderda, Haifeng Huang, Marco Gatti, Fan Zhang, Paolo Gontero, Linfeng Xu, Giorgio Calleris, Yao Fu, Bing Zhang, Giancarlo Marra, Hongqian Guo
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Oncology
Subjects:
prostate cancer
biopsy
upgrade
prostatectomy
prediction
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.785684/full

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