A multiparametric magnetic resonance imaging-based risk model to determine the risk of significant prostate cancer prior to biopsy.

Pim J van LeeuwenAndrew HayenJames E ThompsonDaniel MosesRon ShnierMaret BöhmMagdaline AbuodhaAnne-Maree HaynesFrancis TingJelle BarentszMonique RoobolJustin VassKrishan RasiahWarick DelpradoPhillip D Stricker

Published in: BJU international (2017)

Individualised risk assessment of significant prostate cancer using a predictive model that incorporates mpMRI PIRADS score and clinical data allows a considerable reduction in unnecessary biopsies and reduction of the risk of over-detection of insignificant prostate cancer at the cost of a very small increase in the number of significant cancers missed.

Keyphrases

prostate cancer
radical prostatectomy
magnetic resonance imaging
risk assessment
ultrasound guided
heavy metals
big data
machine learning
artificial intelligence
loop mediated isothermal amplification
climate change