Literature DB >> 27522352

Prostate imaging reporting and data system version 2 (PI-RADS v2): a pictorial review.

Elmira Hassanzadeh1, Daniel I Glazer2, Ruth M Dunne2, Fiona M Fennessy3, Mukesh G Harisinghani4, Clare M Tempany2.   

Abstract

The most recent edition of the prostate imaging reporting and data system (PI-RADS version 2) was developed based on expert consensus of the international working group on prostate cancer. It provides the minimum acceptable technical standards for MR image acquisition and suggests a structured method for multiparametric prostate MRI (mpMRI) reporting. T1-weighted, T2-weighted (T2W), diffusion-weighted (DWI), and dynamic contrast-enhanced (DCE) imaging are the suggested sequences to include in mpMRI. The PI-RADS version 2 scoring system enables the reader to assess and rate all focal lesions detected at mpMRI to determine the likelihood of a clinically significant cancer. According to PI-RADS v2, a lesion with a Gleason score ≥7, volume >0.5 cc, or extraprostatic extension is considered clinically significant. PI-RADS v2 uses the concept of a dominant MR sequence based on zonal location of the lesion rather than summing each component score, as was the case in version 1. The dominant sequence in the peripheral zone is DWI and the corresponding apparent diffusion coefficient (ADC) map, with a secondary role for DCE in equivocal cases (PI-RADS score 3). For lesions in the transition zone, T2W images are the dominant sequence with DWI/ADC images playing a supporting role in the case of an equivocal lesion.

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Year:  2017        PMID: 27522352      PMCID: PMC5247306          DOI: 10.1007/s00261-016-0871-z

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  18 in total

1.  Inter-reader agreement of the ESUR score for prostate MRI using in-bore MRI-guided biopsies as the reference standard.

Authors:  L Schimmöller; M Quentin; C Arsov; R S Lanzman; A Hiester; R Rabenalt; G Antoch; P Albers; D Blondin
Journal:  Eur Radiol       Date:  2013-06-12       Impact factor: 5.315

2.  Multiparametric Prostate Magnetic Resonance Imaging at 3 T: Failure of Magnetic Resonance Spectroscopy to Provide Added Value.

Authors:  Ivan Platzek; Angelika Borkowetz; Marieta Toma; Thomas Brauer; Christoph Meissner; Katrin Dietel; Manfred Wirth; Michael Laniado
Journal:  J Comput Assist Tomogr       Date:  2015 Sep-Oct       Impact factor: 1.826

3.  Interobserver Reproducibility of the PI-RADS Version 2 Lexicon: A Multicenter Study of Six Experienced Prostate Radiologists.

Authors:  Andrew B Rosenkrantz; Luke A Ginocchio; Daniel Cornfeld; Adam T Froemming; Rajan T Gupta; Baris Turkbey; Antonio C Westphalen; James S Babb; Daniel J Margolis
Journal:  Radiology       Date:  2016-04-01       Impact factor: 11.105

4.  Dynamic Contrast-enhanced MR Imaging Curve-type Analysis: Is It Helpful in the Differentiation of Prostate Cancer from Healthy Peripheral Zone?

Authors:  Barry G Hansford; Yahui Peng; Yulei Jiang; Michael W Vannier; Tatjana Antic; Stephen Thomas; Stephanie McCann; Aytekin Oto
Journal:  Radiology       Date:  2015-01-05       Impact factor: 11.105

5.  Dynamic contrast-enhanced MRI for the detection of prostate cancer: meta-analysis.

Authors:  Cher Heng Tan; Brian Paul Hobbs; Wei Wei; Vikas Kundra
Journal:  AJR Am J Roentgenol       Date:  2015-04       Impact factor: 3.959

6.  Prostate Cancer: Interobserver Agreement and Accuracy with the Revised Prostate Imaging Reporting and Data System at Multiparametric MR Imaging.

Authors:  Berrend G Muller; Joanna H Shih; Sandeep Sankineni; Jamie Marko; Soroush Rais-Bahrami; Arvin Koruthu George; Jean J M C H de la Rosette; Maria J Merino; Bradford J Wood; Peter Pinto; Peter L Choyke; Baris Turkbey
Journal:  Radiology       Date:  2015-06-18       Impact factor: 11.105

Review 7.  Magnetic resonance imaging-targeted biopsy may enhance the diagnostic accuracy of significant prostate cancer detection compared to standard transrectal ultrasound-guided biopsy: a systematic review and meta-analysis.

Authors:  Ivo G Schoots; Monique J Roobol; Daan Nieboer; Chris H Bangma; Ewout W Steyerberg; M G Myriam Hunink
Journal:  Eur Urol       Date:  2014-12-03       Impact factor: 20.096

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

Authors:  Moritz Kasel-Seibert; Thomas Lehmann; René Aschenbach; Felix V Guettler; Mohamed Abubrig; Marc-Oliver Grimm; Ulf Teichgraeber; Tobias Franiel
Journal:  Eur J Radiol       Date:  2016-01-19       Impact factor: 3.528

9.  Overdiagnosis due to prostate-specific antigen screening: lessons from U.S. prostate cancer incidence trends.

Authors:  Ruth Etzioni; David F Penson; Julie M Legler; Dante di Tommaso; Rob Boer; Peter H Gann; Eric J Feuer
Journal:  J Natl Cancer Inst       Date:  2002-07-03       Impact factor: 13.506

10.  ESUR prostate MR guidelines 2012.

Authors:  Jelle O Barentsz; Jonathan Richenberg; Richard Clements; Peter Choyke; Sadhna Verma; Geert Villeirs; Olivier Rouviere; Vibeke Logager; Jurgen J Fütterer
Journal:  Eur Radiol       Date:  2012-02-10       Impact factor: 5.315

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  15 in total

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

Authors:  Ximing Wang; Jie Bao; Xiaoxia Ping; Chunhong Hu; Jianquan Hou; Fenglin Dong; Lingchuan Guo
Journal:  Oncol Lett       Date:  2018-06-28       Impact factor: 2.967

2.  PI-RADS version 2.1 scoring system is superior in detecting transition zone prostate cancer: a diagnostic study.

Authors:  Zhibing Wang; Wenlu Zhao; Junkang Shen; Zhen Jiang; Shuo Yang; Shuangxiu Tan; Yueyue Zhang
Journal:  Abdom Radiol (NY)       Date:  2020-09-09

3.  Can Prostate Imaging Reporting and Data System Version 2 reduce unnecessary prostate biopsies in men with PSA levels of 4-10 ng/ml?

Authors:  Ning Xu; Yu-Peng Wu; Dong-Ning Chen; Zhi-Bin Ke; Hai Cai; Yong Wei; Qing-Shui Zheng; Jin-Bei Huang; Xiao-Dong Li; Xue-Yi Xue
Journal:  J Cancer Res Clin Oncol       Date:  2018-03-05       Impact factor: 4.553

4.  Multiparametric MRI Apparent Diffusion Coefficient (ADC) Accuracy in Diagnosing Clinically Significant Prostate Cancer.

Authors:  Pietro Pepe; Davide D'Urso; Antonio Garufi; Giandomenico Priolo; Michele Pennisi; Giorgio Russo; Maria Gabriella Sabini; Lucia Maria Valastro; Antonio Galia; Filippo Fraggetta
Journal:  In Vivo       Date:  2017 May-Jun       Impact factor: 2.155

5.  Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy.

Authors:  Alireza Mehrtash; Mohsen Ghafoorian; Guillaume Pernelle; Alireza Ziaei; Friso G Heslinga; Kemal Tuncali; Andriy Fedorov; Ron Kikinis; Clare M Tempany; William M Wells; Purang Abolmaesumi; Tina Kapur
Journal:  IEEE Trans Med Imaging       Date:  2018-10-18       Impact factor: 10.048

6.  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.

Authors:  Mehdi Taghipour; Alireza Ziaei; Francesco Alessandrino; Elmira Hassanzadeh; Mukesh Harisinghani; Mark Vangel; Clare M Tempany; Fiona M Fennessy
Journal:  Abdom Radiol (NY)       Date:  2019-04

Review 7.  [Multiparametric MRI of the prostate : Important radiological findings for urologists].

Authors:  Heinz-Peter Schlemmer
Journal:  Radiologe       Date:  2017-08       Impact factor: 0.635

8.  Using the prostate imaging reporting and data system version 2 (PI-RIDS v2) to detect prostate cancer can prevent unnecessary biopsies and invasive treatment.

Authors:  Chang Liu; Shi-Liang Liu; Zhi-Xian Wang; Kai Yu; Chun-Xiang Feng; Zan Ke; Liang Wang; Xiao-Yong Zeng
Journal:  Asian J Androl       Date:  2018 Sep-Oct       Impact factor: 3.285

9.  Multimodal Radiomic Features for the Predicting Gleason Score of Prostate Cancer.

Authors:  Ahmad Chaddad; Michael J Kucharczyk; Tamim Niazi
Journal:  Cancers (Basel)       Date:  2018-07-28       Impact factor: 6.639

Review 10.  An update of pitfalls in prostate mpMRI: a practical approach through the lens of PI-RADS v. 2 guidelines.

Authors:  Valeria Panebianco; Francesco Giganti; Yu Xuan Kitzing; François Cornud; Riccardo Campa; Gianluca De Rubeis; Antonio Ciardi; Carlo Catalano; Geert Villeirs
Journal:  Insights Imaging       Date:  2017-10-23
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