The PIRADS v2.1 Classification: A Guide for Reading and Interpretation

The Prostate Imaging Reporting and Data System (PIRADS) is a cornerstone of modern prostate cancer diagnostics, standardizing the acquisition, interpretation, and reporting of multiparametric Magnetic Resonance Imaging (mpMRI). This article provides a comprehensive guide to PIRADS version 2.1, detailing its structured algorithm for assigning a risk score from 1 to 5 that correlates with the likelihood of clinically significant prostate cancer (csPCa). We explain the zone-dependent rules, sequence-specific criteria, and key improvements of v2.1, including its refined transition zone assessment. Furthermore, we contextualize its clinical impact with current evidence and discuss emerging trends, such as biparametric MRI and artificial intelligence, that are shaping the future of prostate imaging.

Authors

Publication Details

Journal
EAS Journal of Radiology and Imaging Technology
Published
2025-10-03
DOI
https://doi.org/10.36349/easjrit.2025.v07i05.005
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The PIRADS v2.1 Classification: A Guide for Reading and Interpretation

El Fikri Abdelghani, Badr Slioui, Redouane Roukhsi, Abdelilah Mouhcine et al.
EAS Journal of Radiology and Imaging Technology
Prostate Cancer Diagnosis and Treatment
article

The PIRADS v2.1 Classification: A Guide for Reading and Interpretation

El Fikri Abdelghani, Badr Slioui, Redouane Roukhsi, Abdelilah Mouhcine, Nabil Hammoune, Ben Elhend Salah, Salah Belasri, El Mehdi Atmane
article en

Abstract

The Prostate Imaging Reporting and Data System (PIRADS) is a cornerstone of modern prostate cancer diagnostics, standardizing the acquisition, interpretation, and reporting of multiparametric Magnetic Resonance Imaging (mpMRI). This article provides a comprehensive guide to PIRADS version 2.1, detailing its structured algorithm for assigning a risk score from 1 to 5 that correlates with the likelihood of clinically significant prostate cancer (csPCa). We explain the zone-dependent rules, sequence-specific criteria, and key improvements of v2.1, including its refined transition zone assessment. Furthermore, we contextualize its clinical impact with current evidence and discuss emerging trends, such as biparametric MRI and artificial intelligence, that are shaping the future of prostate imaging.

EAS Journal of Radiology and Imaging TechnologyVol. 7(05)
Openalex Percentile: Top 58%
Prostate Cancer Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.