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

2019 European Urology 2,163 citations

Abstract

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.

Keywords

MedicineProstateMedical physicsMagnetic resonance imagingProcess (computing)Value (mathematics)Data miningRadiologyComputer scienceMachine learningInternal medicine

MeSH Terms

ConsensusData SystemsHumansImage-Guided BiopsyMagnetic Resonance ImagingMaleProstateProstatic Neoplasms

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Publication Info

Year
2019
Type
review
Volume
76
Issue
3
Pages
340-351
Citations
2163
Access
Closed

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Social media, news, blog, policy document mentions

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2163
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169
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1956
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Cite This

Barış Türkbey, Andrew B. Rosenkrantz, Masoom A. Haider et al. (2019). Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2. European Urology , 76 (3) , 340-351. https://doi.org/10.1016/j.eururo.2019.02.033

Identifiers

DOI
10.1016/j.eururo.2019.02.033
PMID
30898406

Data Quality

Data completeness: 81%