Evidence map›Paper›PMID 42410906›Full record

ArticleJournal of medical radiation sciences2026

Navigating Acceptability: A Think-Aloud Study of Subjective and Contextual Factors in Radiographic Image Rejection.

Robin Decoster, Rachel Toomey, Michaela Davis, Marie-Louise Ryan

Abstract read
In one paragraph

Article in Journal of medical radiation sciences, 2026. 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
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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

4 authors.

Robin DecosterSchool of Medicine, University College Dublin, Dublin 4, Ireland.
Rachel ToomeySchool of Medicine, University College Dublin, Dublin 4, Ireland.
Michaela DavisSchool of Medicine, University College Dublin, Dublin 4, Ireland.
Marie-Louise RyanSchool of Medicine, University College Dublin, Dublin 4, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRadiographic image quality is evaluated based on technical and anatomical criteria; however, this study investigates how radiographers incorporate contextual factors into their decision-making processes when rejecting images. Using the think-aloud method, it explores radiographers' reasoning across three established phases of image production: planning, execution and evaluation.

methodsNine radiographers from Belgium and Ireland participated in cognitive interviews, simulating four radiographic scenarios involving patient variation and technical challenges. Interviews were recorded, transcribed and analysed thematically.

resultsThematic coding revealed five core themes and thirteen subcodes, focusing on aspects such as patient characteristics, workflow, technical parameters and interprofessional dynamics. The findings highlight that image rejection is influenced not only by contrast, resolution or positioning errors but also by patient condition, radiographer experience and departmental culture. Belgian radiographers referenced radiologist preferences more frequently, while Irish participants demonstrated a stronger emphasis on protocol and patient-specific adaptation. Cultural differences, encapsulated knowledge, and terminology ambiguities were noted, suggesting broad variability in image acceptability criteria.

conclusionThis study demonstrates that radiographic image quality cannot be fully assessed based on the radiograph alone. Instead, clinical reasoning involves a complex interplay between objective image features and subjective contextual judgements. These findings raise important questions about the role of standardisation versus flexibility in image assessment and have implications for reject analysis, education, and integration of Artificial Intelligence in diagnostic imaging.

Identifiers

PMID42410906
PMCPMC13399030

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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.