Predictive model of positive surgical margins after radical prostatectomy based on Bayesian network analysis
Guipeng Wang,
Haotian Du,
Fanshuo Meng
et al.
Abstract:ObjectiveThis study aimed to analyze the independent risk factors for marginal positivity after radical prostatectomy and to evaluate the clinical value of the predictive model based on Bayesian network analysis.MethodsWe retrospectively analyzed the clinical data from 238 patients who had undergone radical prostatectomy, between June 2018 and May 2022. The general clinical data, prostate specific antigen (PSA)–derived indicators, puncture factors, and magnetic resonance imaging (MRI) characteristics were incl… Show more
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