title: PI-RADS version 2: what you need to know.
abstract: Prostate cancer is the second most prevalent cancer in men worldwide and its incidence is expected to double by 2030. Multi-parametric magnetic resonance imaging (MRI) incorporating anatomical and functional imaging has now been validated as a means of detecting and characterising prostate tumours and can aid in risk stratification and treatment selection. The European Society of Urogenital Radiology (ESUR) in 2012 established the Prostate Imaging-Reporting and Data System (PI-RADS) guidelines aimed at standardising the acquisition, interpretation and reporting of prostate MRI. Subsequent experience and technical developments have highlighted some limitations, and a joint steering committee formed by the American College of Radiology, ESUR, and the AdMeTech Foundation have recently announced an updated version of the proposals. We summarise the main proposals of PI-RADS version 2, explore the evidence behind the recommendations, and highlight key differences for the benefit of those already familiar with the original.
authors.affiliation: Department of Radiology, Addenbrooke's Hospital and the University of Cambridge, Cambridge, CB2 0QQ, UK. Electronic address: tristan.barrett@addenbrookes.nhs.uk.
authors.forename: T
authors.initials: T
authors.lastname: Barrett
authors.affiliation: Molecular Imaging Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
authors.forename: B
authors.initials: B
authors.lastname: Turkbey
authors.affiliation: Molecular Imaging Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
authors.forename: P L
authors.initials: PL
authors.lastname: Choyke
mesh_terms: D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods* / Q000592:standards; D008297:Male; D009367:Neoplasm Staging / Q000379:methods / Q000592:standards; D017410:Practice Guidelines as Topic; D011471:Prostatic Neoplasms / Q000473:pathology*; D012107:Research Design / Q000592:standards; D012680:Sensitivity and Specificity