Login / Signup

Can the combination of biparametric magnetic resonance imaging and PSA-related indicators predict the prostate biopsy outcome?

Jun ZhuLiang ZhenYuxuan SongYongjiao YangYawei XuYi LuRui HuNingjing OuWei ZhangXiaoqiang Liu
Published in: Andrologia (2020)
To assess the value of biparametric magnetic resonance imaging (bpMRI) for detecting and ruling out prostate cancer in patients with elevated prostate-specific antigen (PSA). The basic information and bpMRI images of enrolled patients who took transperineal template saturate biopsy were retrospectively collected for analysis. Based on our results, we found that free/total PSA, and PI-RADS score were independent risk factors of PCa (p < .05), the PSA density, PI-RADS score were the independent risk factors of csPCa (p < .05). PI-RADS score threshold of 3 could achieve the highest Yonder index for predicting PCa, and PI-RADS score threshold of 4 could achieve the highest Yonder index for predicting csPCa. Therefore, we draw a conclusion that PI-RADSv2 score-based bpMRI could diminish the unnecessary prostate biopsies in patients with elevated PSA when combined with other PSA-related indicators.
Keyphrases
  • prostate cancer
  • radical prostatectomy
  • magnetic resonance imaging
  • risk factors
  • deep learning
  • healthcare
  • magnetic resonance
  • machine learning
  • optical coherence tomography
  • high resolution
  • diffusion weighted imaging