Evidence map›Paper›PMID 41415635›Full record

ReviewJournal of the Korean Society of Radiology2025

Prostate MRI Quality Assessment: PI-QUAL and Factors Influencing Image Quality.

Ji Soo Song, Weon Jang

Abstract readReview
In one paragraph

Review in Journal of the Korean Society of Radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Integrating Artificial Intelligence into Prostate MR Imaging: Technical Foundations, Clinical Applications, and Workflow Implications.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Review
  2. [Preface to the Special Issue on Update in Prostate MRI].Journal of the Korean Society of Radiology · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the introduction of Prostate Imaging Reporting and Data System (PI-RADS), prostate MRI has become an essential tool for detecting clinically significant prostate cancer, determining tumor stage, and guiding targeted biopsy. However, variability in image quality across institutions continues to affect diagnostic accuracy. To address this issue, the Prostate Imaging Quality (PI-QUAL) scoring system was developed as a standardized framework for evaluating the quality of prostate MRI. PI-QUAL v1 established the first quality control system for multiparametric MRI (mpMRI) but had limitations, including the inability to assess biparametric MRI (bpMRI) and a strong reliance on biopsy correlation. The updated PI-QUAL v2 simplified technical requirements, incorporated bpMRI assessment, and introduced a reproducible 3-point scale with adjustment rules that balance quality assurance with the diagnostic advantages of mpMRI. Factors influencing image quality include magnetic field strength and susceptibility- and motion-related artifacts. Complementary approaches, such as the Prostate Signal Intensity Homogeneity Score and artificial intelligence-based evaluation tools, have also been proposed. Overall, PI-QUAL v2 enhances reproducibility and broadens clinical applicability, providing a practical framework for ensuring high-quality prostate MRI. Future progress is expected through standardized data collection, structured training, and multidisciplinary collaboration.

Indexed as

Diagnostic ImagingImage QualityMagnetic Resonance ImagingProstate

Identifiers

PMID41415635
PMCPMC12710279

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.