Direct comparison of PI-RADS version 2 and version 1 regarding interreader agreement and diagnostic accuracy for the detection of clinically significant prostate cancer.

[1]  M. Benndorf,et al.  Diagnostic performance and reproducibility of T2w based and diffusion weighted imaging (DWI) based PI-RADSv2 lexicon descriptors for prostate MRI. , 2017, European journal of radiology.

[2]  Y. Huan,et al.  A meta-analysis of use of Prostate Imaging Reporting and Data System Version 2 (PI-RADS V2) with multiparametric MR imaging for the detection of prostate cancer , 2017, European Radiology.

[3]  C. Wassberg,et al.  Quantification of metabolite concentrations in benign and malignant prostate tissues using 3D proton MR spectroscopic imaging , 2017, Journal of magnetic resonance imaging : JMRI.

[4]  Carlos Nicolau,et al.  Detection of Clinically Significant Prostate Cancer: Short Dual-Pulse Sequence versus Standard Multiparametric MR Imaging-A Multireader Study. , 2017, Radiology.

[5]  Baris Turkbey,et al.  Accuracy and agreement of PIRADSv2 for prostate cancer mpMRI: A multireader study , 2017, Journal of magnetic resonance imaging : JMRI.

[6]  F. Wacker,et al.  Standardized Reporting of Prostate MRI: Comparison of the Prostate Imaging Reporting and Data System (PI-RADS) Version 1 and Version 2 , 2016, PloS one.

[7]  D. Nanz,et al.  Comparison of image quality and patient discomfort in prostate MRI: pelvic phased array coil vs. endorectal coil , 2016, Abdominal Radiology.

[8]  Bernd Hamm,et al.  T2- and diffusion-weighted magnetic resonance imaging at 3T for the detection of prostate cancer with and without endorectal coil: An intraindividual comparison of image quality and diagnostic performance. , 2016, European journal of radiology.

[9]  D. Georg,et al.  Head-to-head comparison of PI-RADS v2 and PI-RADS v1. , 2016, European journal of radiology.

[10]  H. Hricak,et al.  Updated prostate imaging reporting and data system (PIRADS v2) recommendations for the detection of clinically significant prostate cancer using multiparametric MRI: critical evaluation using whole-mount pathology as standard of reference , 2016, European Radiology.

[11]  Tobias Franiel,et al.  Assessment of PI-RADS v2 for the Detection of Prostate Cancer. , 2016, European journal of radiology.

[12]  Adam T Froemming,et al.  Interobserver Reproducibility of the PI-RADS Version 2 Lexicon: A Multicenter Study of Six Experienced Prostate Radiologists. , 2016, Radiology.

[13]  P L Choyke,et al.  PI-RADS version 2: what you need to know. , 2015, Clinical radiology.

[14]  Baris Turkbey,et al.  Prostate Cancer: Interobserver Agreement and Accuracy with the Revised Prostate Imaging Reporting and Data System at Multiparametric MR Imaging. , 2015, Radiology.

[15]  M. Vannier,et al.  Dynamic Contrast-enhanced MR Imaging Curve-type Analysis: Is It Helpful in the Differentiation of Prostate Cancer from Healthy Peripheral Zone? , 2015, Radiology.

[16]  Peter L Choyke,et al.  Modernizing the Diagnostic and Decision-Making Pathway for Prostate Cancer , 2014, Clinical Cancer Research.

[17]  Jan van der Meulen,et al.  Multiparametric MR imaging for detection of clinically significant prostate cancer: a validation cohort study with transperineal template prostate mapping as the reference standard. , 2013, Radiology.

[18]  M. Röthke,et al.  PI-RADS-Klassifikation: Strukturiertes Befundungsschema für die MRT der Prostata , 2013, Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.

[19]  S. Schoenberg,et al.  Interscanner Comparison of Dynamic Contrast-Enhanced MRI in Prostate Cancer: 1.5 Versus 3 T MRI , 2013, Investigative radiology.

[20]  J. Fütterer,et al.  ESUR prostate MR guidelines 2012 , 2012, European Radiology.

[21]  Yipeng Hu,et al.  Characterizing clinically significant prostate cancer using template prostate mapping biopsy. , 2011, The Journal of urology.

[22]  Theodorus H van der Kwast,et al.  The contemporary concept of significant versus insignificant prostate cancer. , 2011, European urology.

[23]  A. Heidenreich.  Consensus criteria for the use of magnetic resonance imaging in the diagnosis and staging of prostate cancer: not ready for routine use. , 2011, European urology.

[24]  H. Hricak,et al.  Interactive dedicated training curriculum improves accuracy in the interpretation of MR imaging of prostate cancer , 2010, European Radiology.

[25]  N A Obuchowski,et al.  Nonparametric analysis of clustered ROC curve data. , 1997, Biometrics.

[26]  E. DeLong,et al.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.

[27]  J. Fleiss,et al.  Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.

[28]  Jacob Cohen,et al.  Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. , 1968 .

[29]  D. Margolis,et al.  PI-RADS Prostate Imaging - Reporting and Data System: 2015, Version 2. , 2016, European urology.

[30]  Thomas Hambrock,et al.  Transition zone prostate cancer: detection and localization with 3-T multiparametric MR imaging. , 2013, Radiology.

[31]  D. Cicchetti,et al.  Developing criteria for establishing interrater reliability of specific items: applications to assessment of adaptive behavior. , 1981, American journal of mental deficiency.