PI-QUAL version 2: an update of a standardised scoring system for the assessment of image quality of prostate MRI.

DOI
Publisher DOI
PubMed ID
38787428
Abstract
Multiparametric MRI is the optimal primary investigation when prostate cancer is suspected, and its ability to rule in and rule out clinically significant disease relies on high-quality anatomical and functional images. Avenues for achieving consistent high-quality acquisitions include meticulous patient preparation, scanner setup, optimised pulse sequences, personnel training, and artificial intelligence systems. The impact of these interventions on the final images needs to be quantified. The prostate imaging quality (PI-QUAL) scoring system was the first standardised quantification method that demonstrated the potential for clinical benefit by relating image quality to cancer detection ability by MRI. We present the updated version of PI-QUAL (PI-QUAL v2) which applies to prostate MRI performed with or without intravenous contrast medium using a simplified 3-point scale focused on critical technical and qualitative image parameters. CLINICAL RELEVANCE STATEMENT: High image quality is crucial for prostate MRI, and the updated version of the PI-QUAL score (PI-QUAL v2) aims to address the limitations of version 1. It is now applicable to both multiparametric MRI and MRI without intravenous contrast medium. KEY POINTS: High-quality images are essential for prostate cancer diagnosis and management using MRI. PI-QUAL v2 simplifies image assessment and expands its applicability to prostate MRI without contrast medium. PI-QUAL v2 focuses on critical technical and qualitative image parameters and emphasises T2-WI and DWI.
Date Issued
2024-11
Publication Type
Article
Subjects
Magnetic resonance imaging
•
Prostatic neoplasms
•
Quality control
Language(s)
en
Author(s)
de Rooij, Maarten
Allen, Clare
Twilt, Jasper J
Thijssen, Linda C P
Asbach, Patrick
Barrett, Tristan
Brembilla, Giorgio
Emberton, Mark
Gupta, Rajan T
Haider, Masoom A
Kasivisvanathan, Veeru
Løgager, Vibeke
Moore, Caroline M
Padhani, Anwar R
Panebianco, Valeria
Puech, Philippe
Purysko, Andrei S
Renard-Penna, Raphaële
Richenberg, Jonathan
Salomon, Georg
Sanguedolce, Francesco
Schoots, Ivo G
Turkbey, Baris
Villeirs, Geert
Walz, Jochen
Barentsz, Jelle
Giganti, Francesco
Additional Credits
Journal
European Radiology
Publisher
Springer
ISSN
1432-1084
0938-7994
Access(Rights)
open.access
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