Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2.

Prostate Imaging Reporting and Data System Version 2 Prostate Imaging Reporting and Data System Version 2.1 Prostate cancer

Journal

European urology
ISSN: 1873-7560
Titre abrégé: Eur Urol
Pays: Switzerland
ID NLM: 7512719

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 05 02 2019
accepted: 25 02 2019
pubmed: 23 3 2019
medline: 27 11 2020
entrez: 23 3 2019
Statut: ppublish

Résumé

The Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) was developed with a consensus-based process using a combination of published data, and expert observations and opinions. In the short time since its release, numerous studies have validated the value of PI-RADS v2 but, as expected, have also identified a number of ambiguities and limitations, some of which have been documented in the literature with potential solutions offered. To address these issues, the PI-RADS Steering Committee, again using a consensus-based process, has recommended several modifications to PI-RADS v2, maintaining the framework of assigning scores to individual sequences and using these scores to derive an overall assessment category. This updated version, described in this article, is termed PI-RADS v2.1. It is anticipated that the adoption of these PI-RADS v2.1 modifications will improve inter-reader variability and simplify PI-RADS assessment of prostate magnetic resonance imaging even further. Research on the value and limitations on all components of PI-RADS v2.1 is strongly encouraged.

Identifiants

pubmed: 30898406
pii: S0302-2838(19)30180-0
doi: 10.1016/j.eururo.2019.02.033
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

340-351

Commentaires et corrections

Type : CommentIn
Type : CommentIn
Type : CommentIn

Informations de copyright

Published by Elsevier B.V.

Auteurs

Baris Turkbey (B)

Molecular Imaging Program, National Cancer Institute, NIH, Bethesda, MD, USA. Electronic address: turkbeyi@mail.nih.gov.

Andrew B Rosenkrantz (AB)

Department of Radiology, NYU Langone Medical Center, New York, NY, USA. Electronic address: Andrew.Rosenkrantz@nyulangone.org.

Masoom A Haider (MA)

University of Toronto, Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada.

Anwar R Padhani (AR)

Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, UK.

Geert Villeirs (G)

Department of Radiology, Ghent University Hospital, Gent, Belgium.

Katarzyna J Macura (KJ)

Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Clare M Tempany (CM)

Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.

Peter L Choyke (PL)

Molecular Imaging Program, National Cancer Institute, NIH, Bethesda, MD, USA.

Francois Cornud (F)

Department of Radiology, Hôpital Cochin, Université Paris Descartes, Paris, France.

Daniel J Margolis (DJ)

Weill Cornell Imaging, Cornell University, New York, NY, USA.

Harriet C Thoeny (HC)

Department of Radiology, Hôpital Cantonal de Fribourg HFR, University of Fribourg, Fribourg, Switzerland.

Sadhna Verma (S)

Department of Radiology, University of Cincinnati, College of Medicine, Cincinnati, OH, USA.

Jelle Barentsz (J)

Department of Radiology and Nuclear Medicine Radboudumc, Nijmegen, The Netherlands.

Jeffrey C Weinreb (JC)

Department of Radiology, Yale School of Medicine, New Haven, CT, USA.

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Classifications MeSH