Evidence map›Paper›PMID 40223906›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2025

Correlation of objective image quality metrics with radiologists' diagnostic confidence depends on the clinical task performed.

Michelle C Pryde, James Rioux, Adela Elena Cora, David Volders, Matthias H Schmidt, Mohammed Abdolell, Chris Bowen, Steven D Beyea

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Michelle C PrydeDalhousie University, School of Biomedical Engineering, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0009-0004-8959-9618
James RiouxDalhousie University, School of Biomedical Engineering, Halifax, Nova Scotia, Canada.
Adela Elena CoraDalhousie University, Department of Diagnostic Radiology, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0002-1663-6658
David VoldersDalhousie University, Department of Diagnostic Radiology, Halifax, Nova Scotia, Canada.
Matthias H SchmidtDalhousie University, Department of Diagnostic Radiology, Halifax, Nova Scotia, Canada.
Mohammed AbdolellDalhousie University, Department of Diagnostic Radiology, Halifax, Nova Scotia, Canada.
Chris BowenDalhousie University, Department of Diagnostic Radiology, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0002-2390-0453
Steven D BeyeaDalhousie University, School of Biomedical Engineering, Halifax, Nova Scotia, Canada.ORCID https://orcid.org/0000-0001-7851-0017

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Objective image quality metrics (IQMs) are widely used as outcome measures to assess acquisition and reconstruction strategies for diagnostic images. For nonpathological magnetic resonance (MR) images, these IQMs correlate to varying degrees with expert radiologists' confidence scores of overall perceived diagnostic image quality. However, it is unclear whether IQMs also correlate with task-specific diagnostic image quality or expert radiologists' confidence in performing a specific diagnostic task, which calls into question their use as surrogates for radiologist opinion. Approach: 0.5 T MR images from 16 stroke patients and two healthy volunteers were retrospectively undersampled ( Results: Although acceleration alters image quality, neuroradiologists remain able to report pathology. All of the IQMs tested correlated to some degree with diagnostic confidence for assessing chronic ischemic lesion burden, but none correlated with diagnostic confidence in diagnosing the presence/absence of AIS due to consistent radiologist performance regardless of image degradation. Conclusions: Accelerated images were helpful for understanding the ability of IQMs to assess task-specific diagnostic image quality in the context of chronic ischemic lesion burden, although not in the case of AIS diagnosis. These findings suggest that commonly used IQMs, such as the SSIM index, do not necessarily indicate an image's utility when performing certain diagnostic tasks.

Indexed as

brainevaluation and performanceimage quality assessmentmagnetic resonance imaging

Identifiers

PMID40223906
PMCPMC11991859

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Registered trials

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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.