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Items: 1 to 20 of 116


Low PI-RADS assessment category excludes extraprostatic extension (≥pT3a) of prostate cancer: a histology-validated study including 301 operated patients.

Alessi S, Pricolo P, Summers P, Femia M, Tagliabue E, Renne G, Bianchi R, Musi G, De Cobelli O, Jereczek-Fossa BA, Bellomi M, Petralia G.

Eur Radiol. 2019 Mar 18. doi: 10.1007/s00330-019-06092-0. [Epub ahead of print]


Prostate Cancer: The European Society of Urogenital Radiology Prostate Imaging Reporting and Data System Criteria for Predicting Extraprostatic Extension by Using 3-T Multiparametric MR Imaging.

Kayat Bittencourt L, Litjens G, Hulsbergen-van de Kaa CA, Turkbey B, Gasparetto EL, Barentsz JO.

Radiology. 2015 Aug;276(2):479-89. doi: 10.1148/radiol.15141412. Epub 2015 Apr 3.


[Preliminary applicability evaluation of Prostate Imaging Reporting and Data System version 2 diagnostic score in 3.0T multi-parameters magnetic resonance imaging combined with prostate specific antigen density for prostate cancer].

Zuo MZ, Zhao WL, Wei CG, Zhang CY, Wen R, Gu YF, Li MJ, Zhang YY, Wu JF, Li X, Shen JK.

Zhonghua Yi Xue Za Zhi. 2017 Dec 19;97(47):3693-3698. doi: 10.3760/cma.j.issn.0376-2491.2017.47.003. Chinese.


Interreader agreement of PI-RADS v. 2 in assessing prostate cancer with multiparametric MRI: A study using whole-mount histology as the standard of reference.

Girometti R, Giannarini G, Greco F, Isola M, Cereser L, Como G, Sioletic S, Pizzolitto S, Crestani A, Ficarra V, Zuiani C.

J Magn Reson Imaging. 2019 Feb;49(2):546-555. doi: 10.1002/jmri.26220. Epub 2018 Sep 5.


The diagnostic value of PI-RADS V1 and V2 using multiparametric MRI in transition zone prostate clinical cancer.

Wang X, Bao J, Ping X, Hu C, Hou J, Dong F, Guo L.

Oncol Lett. 2018 Sep;16(3):3201-3206. doi: 10.3892/ol.2018.9038. Epub 2018 Jun 28.


Prognostic value of Prostate Imaging and Data Reporting System (PI-RADS) v. 2 assessment categories 4 and 5 compared to histopathological outcomes after radical prostatectomy.

Lim CS, McInnes MDF, Lim RS, Breau RH, Flood TA, Krishna S, Morash C, Shabana WM, Schieda N.

J Magn Reson Imaging. 2017 Jul;46(1):257-266. doi: 10.1002/jmri.25539. Epub 2016 Nov 3.


Assessment of PI-RADS v2 for the Detection of Prostate Cancer.

Kasel-Seibert M, Lehmann T, Aschenbach R, Guettler FV, Abubrig M, Grimm MO, Teichgraeber U, Franiel T.

Eur J Radiol. 2016 Apr;85(4):726-31. doi: 10.1016/j.ejrad.2016.01.011. Epub 2016 Jan 19.


Impact of the integration of proton magnetic resonance imaging spectroscopy to PI-RADS 2 for prediction of high grade and high stage prostate cancer.

Leapman MS, Wang ZJ, Behr SC, Kurhanewicz J, Zagoria RJ, Carroll PR, Westphalen AC.

Radiol Bras. 2017 Sep-Oct;50(5):299-307. doi: 10.1590/0100-3984.2016.0117.


The predictive value of endorectal 3 Tesla multiparametric magnetic resonance imaging for extraprostatic extension in patients with low, intermediate and high risk prostate cancer.

Somford DM, Hamoen EH, Fütterer JJ, van Basten JP, Hulsbergen-van de Kaa CA, Vreuls W, van Oort IM, Vergunst H, Kiemeney LA, Barentsz JO, Witjes JA.

J Urol. 2013 Nov;190(5):1728-34. doi: 10.1016/j.juro.2013.05.021. Epub 2013 May 13.


PI-RADS v2 and periprostatic fat measured on multiparametric magnetic resonance imaging can predict upgrading in radical prostatectomy pathology amongst patients with biopsy Gleason score 3 + 3 prostate cancer.

Zhai L, Fan Y, Sun S, Wang H, Meng Y, Hu S, Wang X, Yu W, Jin J.

Scand J Urol. 2018 Oct - Dec;52(5-6):333-339. doi: 10.1080/21681805.2018.1545799.


Prostate Cancer Detection with Multiparametric Magnetic Resonance Imaging: Prostate Imaging Reporting and Data System Version 1 versus Version 2.

Feng ZY, Wang L, Min XD, Wang SG, Wang GP, Cai J.

Chin Med J (Engl). 2016 Oct 20;129(20):2451-2459. doi: 10.4103/0366-6999.191771.


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.

Zhang L, Tang M, Chen S, Lei X, Zhang X, Huan Y.

Eur Radiol. 2017 Dec;27(12):5204-5214. doi: 10.1007/s00330-017-4843-7. Epub 2017 Jun 27. Review.


Multiparametric Magnetic-Resonance to Confirm Eligibility to an Active Surveillance Program for Low-Risk Prostate Cancer: Intermediate Time Results of a Third Referral High Volume Centre Active Surveillance Protocol.

Luzzago S, Musi G, Catellani M, Russo A, Di Trapani E, Mistretta FA, Bianchi R, Cozzi G, Conti A, Pricolo P, Ferro M, Matei DV, Mirone V, Petralia G, de Cobelli O.

Urol Int. 2018;101(1):56-64. doi: 10.1159/000488772. Epub 2018 May 7.


Investigating the role of DCE-MRI, over T2 and DWI, in accurate PI-RADS v2 assessment of clinically significant peripheral zone prostate lesions as defined at radical prostatectomy.

Taghipour M, Ziaei A, Alessandrino F, Hassanzadeh E, Harisinghani M, Vangel M, Tempany CM, Fennessy FM.

Abdom Radiol (NY). 2019 Apr;44(4):1520-1527. doi: 10.1007/s00261-018-1807-6.


A Prospective Accuracy Study of Prostate Imaging Reporting and Data System Version 2 on Multiparametric Magnetic Resonance Imaging in Detecting Clinically Significant Prostate Cancer With Whole-mount Pathology.

Giannarini G, Girometti R, Crestani A, Rossanese M, Calandriello M, Cereser L, Bednarova S, Battistella C, Sioletic S, Zuiani C, Valotto C, Ficarra V.

Urology. 2019 Jan;123:191-197. doi: 10.1016/j.urology.2018.07.067. Epub 2018 Sep 28.


Does the Prostate Imaging-Reporting and Data System (PI-RADS) version 2 improve accuracy in reporting anterior lesions on multiparametric magnetic resonance imaging (mpMRI)?

Hoffmann R, Logan C, O'Callaghan M, Gormly K, Chan K, Foreman D.

Int Urol Nephrol. 2018 Jan;50(1):13-19. doi: 10.1007/s11255-017-1753-1. Epub 2017 Nov 29.


Combined Clinical Parameters and Multiparametric Magnetic Resonance Imaging for the Prediction of Extraprostatic Disease-A Risk Model for Patient-tailored Risk Stratification When Planning Radical Prostatectomy.

Nyarangi-Dix J, Wiesenfarth M, Bonekamp D, Hitthaler B, Schütz V, Dieffenbacher S, Mueller-Wolf M, Roth W, Stenzinger A, Duensing S, Roethke M, Teber D, Schlemmer HP, Hohenfellner M, Radtke JP.

Eur Urol Focus. 2018 Nov 23. pii: S2405-4569(18)30336-5. doi: 10.1016/j.euf.2018.11.004. [Epub ahead of print]


The combination of prostate imaging reporting and data system version 2 (PI-RADS v2) and periprostatic fat thickness on multi-parametric MRI to predict the presence of prostate cancer.

Cao Y, Cao M, Chen Y, Yu W, Fan Y, Liu Q, Gao G, Zhao Z, Wang X, Jin J.

Oncotarget. 2017 Jul 4;8(27):44040-44049. doi: 10.18632/oncotarget.17182.

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