Prostate Imaging-Reporting and Data System Steering Committee: PI-RADS v2 Status Update and Future Directions.


Journal

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

Informations de publication

Date de publication:
03 2019
Historique:
received: 12 03 2018
accepted: 29 05 2018
pubmed: 18 6 2018
medline: 23 7 2019
entrez: 18 6 2018
Statut: ppublish

Résumé

The Prostate Imaging-Reporting and Data System (PI-RADS) v2 analysis system for multiparametric magnetic resonance imaging (mpMRI) detection of prostate cancer (PCa) is based on PI-RADS v1, accumulated scientific evidence, and expert consensus opinion. To summarize the accuracy, strengths and weaknesses of PI-RADS v2, discuss pathway implications of its use and outline opportunities for improvements and future developments. For this consensus expert opinion from the PI-RADS steering committee, clinical studies, systematic reviews, and professional guidelines for mpMRI PCa detection were evaluated. We focused on the performance characteristics of PI-RADS v2, comparing data to systems based on clinicoradiologic Likert scales and non-PI-RADS v2 imaging only. Evidence selections were based on high-quality, prospective, histologically verified data, with minimal patient selection and verifications biases. It has been shown that the test performance of PI-RADS v2 in research and clinical practice retains higher accuracy over systematic transrectal ultrasound (TRUS) biopsies for PCa diagnosis. PI-RADS v2 fails to detect all cancers but does detect the majority of tumors capable of causing patient harm, which should not be missed. Test performance depends on the definition and prevalence of clinically significant disease. Good performance can be attained in practice when the quality of the diagnostic process can be assured, together with joint working of robustly trained radiologists and urologists, conducting biopsy procedures within multidisciplinary teams. It has been shown that the test performance of PI-RADS v2 in research and clinical practice is improved, retaining higher accuracy over systematic TRUS biopsies for PCa diagnosis. Multiparametric magnetic resonance imaging (MRI) and MRI-directed biopsies using the Prostate Imaging-Reporting and Data System improves the detection of prostate cancers likely to cause harm, and at the same time decreases the detection of disease that does not lead to harms if left untreated. The keys to success are high-quality imaging, reporting, and biopsies by radiologists and urologists working together in multidisciplinary teams.

Identifiants

pubmed: 29908876
pii: S0302-2838(18)30424-X
doi: 10.1016/j.eururo.2018.05.035
pmc: PMC6292742
mid: NIHMS976621
pii:
doi:

Types de publication

Journal Article Practice Guideline

Langues

eng

Sous-ensembles de citation

IM

Pagination

385-396

Subventions

Organisme : Intramural NIH HHS
ID : Z99 CA999999
Pays : United States
Organisme : NIH HHS
ID : Z99 CA999999
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2018 The Author(s). Published by Elsevier B.V. All rights reserved.

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Auteurs

Anwar R Padhani (AR)

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

Jeffrey Weinreb (J)

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

Andrew B Rosenkrantz (AB)

Department of Radiology, NYU Langone Medical Center, New York, USA.

Geert Villeirs (G)

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

Baris Turkbey (B)

Molecular Imaging Program NCI, Bethesda, USA.

Jelle Barentsz (J)

Radboudumc, Nijmegen, The Netherlands. Electronic address: jelle.barentsz@radboudumc.nl.

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