Review Article

PI-RADS v2.1: What has changed and how to report

Robin Scott, Shalendra K. Misser, Dania Cioni, Emanuele Neri
South African Journal of Radiology | Vol 25, No 1 | a2062 | DOI: https://doi.org/10.4102/sajr.v25i1.2062 | © 2021 Robin Scott, Shalendra K. Misser, Dania Cioni, Emanuele Neri | This work is licensed under CC Attribution 4.0
Submitted: 08 December 2020 | Published: 01 June 2021

About the author(s)

Robin Scott, Department of Radiology, Lake, Smit and Partners Inc., Durban, South Africa
Shalendra K. Misser, Department of Radiology, Lake, Smit and Partners Inc., Durban, South Africa; and, Department of Radiology, Faculty of Health Sciences Medicine, College of Health Sciences, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durba, South Africa
Dania Cioni, Department of Translational Research, Academic Radiology, University of Pisa, Pisa, Italy
Emanuele Neri, Department of Translational Research, Academic Radiology, University of Pisa, Pisa, Italy

Abstract

Multiparametric magnetic resonance imaging (MRI) of the prostate has become a vital imaging tool in daily radiological practice for the stratification of the risk of prostate cancer. There has been a recent update to the Prostate Imaging-Reporting and Data System (PI-RADS). The updated changes in PI-RADS, which is version 2.1, have been described with information pertaining to the recommended imaging protocols, the techniques on how to perform prostate MRI and a simplified approach to interpreting and reporting MRI of the prostate. Explanatory tables, schematic diagrams and key representative images have been used to provide the reader with a useful approach to interpreting and then stratifying lesions in the four anatomical zones of the prostate gland. The intention of this article is to address challenges of interpretation and reporting of prostate lesions in daily practice.

Keywords

prostate carcinoma; PI-RADS; magnetic resonance imaging; technical parameters for mpMRI of prostate; assessment categories to stratify risk; structured reporting

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Crossref Citations

1. Development and validation of a nomogram for predicting prostate cancer based on combining contrast-enhanced transrectal ultrasound and biparametric MRI imaging
Wanxian Nong, Qun Huang, Yong Gao
Frontiers in Oncology  vol: 13  year: 2023  
doi: 10.3389/fonc.2023.1275773