Accuracy and Interobserver Agreement for Prostate Imaging Reporting and Data System, Version 2, for the Characterization of Lesions Identified on Multiparametric MRI of the Prostate

被引:54
作者
Purysko, Andrei S. [1 ]
Bittencourt, Leonardo K. [2 ]
Bullen, Jennifer A. [3 ]
Mostardeiro, Thomaz R. [4 ]
Herts, Brian R. [1 ]
Klein, Eric A. [5 ]
机构
[1] Cleveland Clin, Imaging Inst, Abdominal Imaging Sect, 9500 Euclid Ave,Mail Code JB 3, Cleveland, OH 44195 USA
[2] DASA, CDPI Clin, Rio De Janeiro, Brazil
[3] Cleveland Clin, Dept Quantitat Hlth Sci, Cleveland, OH 44106 USA
[4] Univ Fed Santa Maria, Santa Maria, RS, Brazil
[5] Cleveland Clin, Glickman Urol & Kidney Inst, Cleveland, OH 44106 USA
关键词
MRI; multiparametric MRI; prostate cancer; Prostate Imaging Reporting and Data System (PI-RADS); PI-RADS V2; CANCER DETECTION; GUIDELINES;
D O I
10.2214/AJR.16.17289
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
OBJECTIVE. The objective of this study was to measure the accuracy and interobserver agreement of the Prostate Imaging Reporting and Data System, version 2 (PI-RADSv2), for the characterization of prostate lesions on multiparametric MRI. MATERIALS AND METHODS. This retrospective study included 170 men examined at a single institution between August 2014 and February 2015 on a 3-T MRI scanner. Study patients were found to have lesions concerning for prostate cancer that were targeted for MRI/transrectal ultrasound fusion biopsy. Two experienced readers independently assigned a PI-RADSv2 assessment category to the dominant lesion in each patient. The AUC was calculated to determine reader accuracy for the detection of clinically significant prostate cancer (Gleason score >= 3 + 4). The Cohen kappa statistic was used to quantify interobserver agreement. RESULTS. The prevalence of clinically significant prostate cancer was 0.36 (61/170 patients). The AUCs for readers 1 and 2 were 0.871 and 0.882, respectively. The AUCs were greater for peripheral zone lesions than for transition zone lesions. When a PI-RADSv2 assessment category >= 3 was considered positive, the agreement between readers was good overall (kappa = 0.63) and was fair for transition zone lesions (kappa = 0.53). When a PI-RADSv2 assessment category >= 4 was considered positive, the agreement was excellent overall (kappa = 0.91) and was excellent for both peripheral zone lesions (kappa = 0.91) and transition zone lesions (kappa = 0.87). CONCLUSION. Two experienced readers were able to accurately identify patients with clinically significant prostate cancer using PI-RADSv2 with good interobserver agreement overall.
引用
收藏
页码:339 / 345
页数:7
相关论文
共 17 条
[1]   Validation of PI-RADS v.2 for prostate cancer diagnosis with MRI at 3T using an external phased-array coil [J].
Baldisserotto, Matteo ;
Dornelles Neto, Eurico J. ;
Carvalhal, Gustavo ;
de Toledo, Aloyso F. ;
de Almeida, Clovis M. ;
Cairoli, Carlos E. D. ;
de Silva, Daniel O. ;
Carvalhal, Eduardo ;
Paganin, Ricardo P. ;
Agra, Alexandre ;
de Santos, Francisco S. ;
Noronha, Jorge A. P. .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2016, 44 (05) :1354-1359
[2]   Synopsis of the PI-RADS v2 Guidelines for Multiparametric Prostate Magnetic Resonance Imaging and Recommendations for Use [J].
Barentsz, Jelle O. ;
Weinreb, Jeffrey C. ;
Verma, Sadhna ;
Thoeny, Harriet C. ;
Tempany, Clare M. ;
Shtern, Faina ;
Padhani, Anwar R. ;
Margolis, Daniel ;
Macura, Katarzyna J. ;
Haider, Masoom A. ;
Cornud, Francois ;
Choyke, Peter L. .
EUROPEAN UROLOGY, 2016, 69 (01) :41-49
[3]   ESUR prostate MR guidelines 2012 [J].
Barentsz, Jelle O. ;
Richenberg, Jonathan ;
Clements, Richard ;
Choyke, Peter ;
Verma, Sadhna ;
Villeirs, Geert ;
Rouviere, Olivier ;
Logager, Vibeke ;
Futterer, Jurgen J. .
EUROPEAN RADIOLOGY, 2012, 22 (04) :746-757
[4]   Accuracy of Multiparametric MRI for Prostate Cancer Detection: A Meta-Analysis [J].
de Rooij, Maarten ;
Hamoen, Esther H. J. ;
Futterer, Jurgen J. ;
Barentsz, Jelle O. ;
Rovers, Maroeska M. .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2014, 202 (02) :343-351
[5]   Use of the Prostate Imaging Reporting and Data System (PI-RADS) for Prostate Cancer Detection with Multiparametric Magnetic Resonance Imaging: A Diagnostic Meta-analysis [J].
Hamoen, Esther H. J. ;
de Rooij, Maarten ;
Witjes, J. Alfred ;
Barentsz, Jelle O. ;
Rovers, Maroeska M. .
EUROPEAN UROLOGY, 2015, 67 (06) :1112-1121
[6]   Assessment of PI-RADS v2 for the Detection of Prostate Cancer [J].
Kasel-Seibert, Moritz ;
Lehmann, Thomas ;
Aschenbach, Rene ;
Guettler, Felix V. ;
Abubrig, Mohamed ;
Grimm, Marc-Oliver ;
Teichgraeber, Ulf ;
Franiel, Tobias .
EUROPEAN JOURNAL OF RADIOLOGY, 2016, 85 (04) :726-731
[7]  
Mertan FV, 2016, J UROLOGY, V196, P690, DOI 10.1016/j.juro.2016.04.057
[8]   Prostate Cancer: Interobserver Agreement and Accuracy with the Revised Prostate Imaging Reporting and Data System at Multiparametric MR Imaging [J].
Muller, Berrend G. ;
Shih, Joanna H. ;
Sankineni, Sandeep ;
Marko, Jamie ;
Rais-Bahrami, Soroush ;
George, Arvin Koruthu ;
de la Rosette, Jean J. M. C. H. ;
Merino, Maria J. ;
Wood, Bradford J. ;
Pinto, Peter ;
Choyke, Peter L. ;
Turkbey, Baris .
RADIOLOGY, 2015, 277 (03) :741-750
[9]   Prostate Cancer: PI-RADS Version 2 Helps Preoperatively Predict Clinically Significant Cancers [J].
Park, Sung Yoon ;
Jung, Dae Chul ;
Oh, Young Taik ;
Cho, Nam Hoon ;
Choi, Young Deuk ;
Rha, Koon Ho ;
Hong, Sung Joon ;
Han, Kyunghwa .
RADIOLOGY, 2016, 280 (01) :108-116
[10]   Head-to-head comparison of PI-RADS v2 and PI-RADS vl [J].
Polanec, Stephan ;
Helbich, Thomas H. ;
Bickel, Hubert ;
Pinker-Domenig, Katja ;
Georg, Dietmar ;
Shariat, Shahrokh F. ;
Aulitzky, Wolfgang ;
Susani, Martin ;
Baltzer, Pascal A. .
EUROPEAN JOURNAL OF RADIOLOGY, 2016, 85 (06) :1125-1131