2020
Variability of the Positive Predictive Value of PI-RADS for Prostate MRI across 26 Centers: Experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel
Westphalen AC, McCulloch CE, Anaokar JM, Arora S, Barashi NS, Barentsz JO, Bathala TK, Bittencourt LK, Booker MT, Braxton VG, Carroll PR, Casalino DD, Chang SD, Coakley FV, Dhatt R, Eberhardt SC, Foster BR, Froemming AT, Fütterer JJ, Ganeshan DM, Gertner MR, Mankowski Gettle L, Ghai S, Gupta RT, Hahn ME, Houshyar R, Kim C, Kim CK, Lall C, Margolis DJA, McRae SE, Oto A, Parsons RB, Patel NU, Pinto PA, Polascik TJ, Spilseth B, Starcevich JB, Tammisetti VS, Taneja SS, Turkbey B, Verma S, Ward JF, Warlick CA, Weinberger AR, Yu J, Zagoria RJ, Rosenkrantz AB. Variability of the Positive Predictive Value of PI-RADS for Prostate MRI across 26 Centers: Experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel. Radiology 2020, 296: 76-84. PMID: 32315265, PMCID: PMC7373346, DOI: 10.1148/radiol.2020190646.Peer-Reviewed Original ResearchConceptsPositive predictive valuePI-RADS scoreProstate cancerPI-RADSGleason scorePredictive valueRetrospective cross-sectional studyHigh-grade prostate cancerObserved positive predictive valueOverall positive predictive valueUntreated prostate cancerProstate MRIInterquartile rangeSignificant prostate cancerProstate Imaging ReportingCross-sectional studyMixed-model logistic regressionProstate cancer diseaseReporting Data SystemMRI lesionsBiopsy resultsActive surveillanceClinical careMRI scansImaging Reporting
2019
An update for LI‐RADS: Version 2018. Why so soon after version 2017?
Kielar AZ, Chernyak V, Bashir MR, K. R, Fowler KJ, Santillan C, Sirlin CB, Mitchell DG, Cerny M, Tang A, Elsayes KM, Kamaya A, Kono Y, Arora SS. An update for LI‐RADS: Version 2018. Why so soon after version 2017? Journal Of Magnetic Resonance Imaging 2019, 50: 1990-1991. PMID: 30864185, DOI: 10.1002/jmri.26715.Peer-Reviewed Original ResearchCarcinoma, HepatocellularHumansLiver NeoplasmsMagnetic Resonance ImagingRadiology Information Systems