Ces radiol. 2020, 74(1):47-54 | DOI: 10.55095/CesRadiol2020/009

Changes in the prostate assessment using classification PI-RADS 2.1Review article

Jan Pernický, Radek Tupý, Jana Cibulková, Jiří Ferda
Klinika zobrazovacích metod LF UK a FN, Plzeň

PI-RADS (Prostate Imaging Reporting and Data System) is a structured schematic description of multiparametric magnetic resonance imaging of the prostate in patients suspected of having prostate cancer. The introduction of this classification in 2012 led to more standardized interpretations of findings. Since then, ratings have been upgraded several times. PI-RADS version 2.1, issued 2019 improved the classification systém and repaired the inconsistencies of previous versions. PI-RADS version 2.1 uses 5-point scale of risk of carcinoma presence obtained by combining the observed changes in multiparametric examinations in T2w, ADC/DWI and DCE, in each suspicious lesion in the glandular tissue.

Keywords: prostate cancer, PI-RADS 2.1, magnetic resonance imaging, multiparametric imaging
Grants and funding:

Podpořeno projektem MZ ČR Koncepční rozvoj výzkumné instituce 00669806 - FN Plzeň a projektem Univerzity Karlovy v Praze Progress q39.

Accepted: January 30, 2020; Published: March 1, 2020  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Pernický J, Tupý R, Cibulková J, Ferda J. Changes in the prostate assessment using classification PI-RADS 2.1. Ces radiol. 2020;74(1):47-54. doi: 10.55095/CesRadiol2020/009.
Download citation

References

  1. Dolejšová O, Eret V, Šobrová A, Ferda J, Hes O. Využití multiparametrické magnetické rezonance a srovnání s ostatními moderními zobrazovacími metodami v předoperační diagnostice karcinomu prostaty. Ces Urol 2014; 18(4): 300-309. Go to original source...
  2. Barkovich EJ, Shankar PR, Westfalen AC. A Systematic Review of the Existing Prostate Imaging Reporting and Data System Version 2 (PI-RADSv2) Literature and Subset Meta-Analysis of PI-RADSv2 Categories Stratified by Gleason Scores. AJR 2019; 212: 847-854. Go to original source... Go to PubMed...
  3. Ferda J, Hora M, Hes O, Kastner J, Ferdova E, Mírka H, Baxa J, Heidenreich F, Fínek J, Kreuzberg B. Zobrazení prostaty na 3T MRI u nemocných se zvýšenou hladinou PSA. Ces Radiol 2012; 66(1): 9-17. Go to original source...
  4. Chesnais AL, Niaf E, Bratan F, et al. Differentiation of transitional zone prostate cancer from benign hyperplasia nodules: evaluation of discriminant criteria at multiparametric MRI. Clin Radiol 2013; 68: e323-330. Go to original source... Go to PubMed...
  5. Greer MD, Brown AM, Shih JH, et al. Accuracy and agreement of PIRADSv2 for prostate cancer mpMRI: a multireader study. J Magn Reson Imaging 2017; 45: 579-585. Go to original source... Go to PubMed...
  6. Turkbey B, et al. Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2. Eur Urol 2019; 0302-2838. Go to original source... Go to PubMed...

This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.