Evidence map›Paper›PMID 33826800›Full record

ArticleJournal of medical radiation sciences2021

Digital radiography reject analysis of examinations with multiple rejects: an Australian emergency imaging department clinical audit.

Brittany Stephenson-Smith, Michael J Neep, Pamela Rowntree

Open access · goldAbstract read
In one paragraph

Article in Journal of medical radiation sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

14 citing papers in PubMed, 29 citations in OpenAlex.

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  11. Making the most of X-ray reject analysis in the digital age.Journal of medical radiation sciences · 2023
    Article
  12. Assessment of image rejection in digital radiography.Journal of medicine and life · 2023
    Article
  13. The role of quality improvement in radiography.Journal of medical radiation sciences · 2021
    Article
  14. 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

3 authors at 3 institutions in 1 country.

Brittany Stephenson-SmithDepartment of Medical Imaging, The Prince Charles Hospital, Chermside, Queensland, Australia.ORCID https://orcid.org/0000-0002-2403-1771
Michael J NeepDepartment of Medical Imaging, Logan Hospital, Meadowbrook, Queensland, Australia.
Pamela RowntreeMedical Radiation Sciences, School of Clinical Sciences, Faculty of Health, Queensland University of Technology (QUT), Queensland, Australia.
Prince Charles Hospital · AUQueensland University of Technology · AUTranslational Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe largest source of manmade ionising radiation exposure to the public stems from diagnostic medical imaging examinations. Reject analysis, a form of quality assurance, was introduced to minimise repeat exposures. The purpose of this study was to analyse projection-specific reject rates and radiographic examinations with multiple rejects.

methodsA retrospective audit of rejected radiographs was undertaken in a busy Australian metropolitan emergency digital X-ray room from March to June 2018. The data were collected by reject analysis software embedded within the X-ray unit. Reject rates, and reasons for rejection for each X-ray projection were analysed.

resultsData from 11, 596 images showed overall reject rate was 10.3% and the overall multiple reject rate was 1.3%. The projections with both a high number and high percentage of rejects were antero-posterior (AP) chest (175, 18.1%), AP pelvis (78, 22.5%), horizontal beam hip (61, 33.5%) and horizontal beam knee (116, 30.5%). The projections with both a high frequency and multiple reject rate were horizontal beam knee (32, 8.4%) and horizontal beam hip (17, 9.3%). The top reasons for multiple rejects were positioning (67.1%) and anatomy cut-off (8.4%).

conclusionsThe findings of this study demonstrated that projection-specific reject and multiple reject analysis in digital radiography is necessary in identifying areas for quality improvement which will reduce radiation exposure to patients. Projections that were frequently repeated in this study were horizontal beam knee and horizontal beam hip. Future research could involve re-auditing the department following the implementation of improvement strategies to reduce unnecessary radiation exposure.

Indexed as

Radiographic Image EnhancementX-Ray FilmAustraliaClinical AuditHumansQuality ControlRetrospective Studiesdigital radiographymultiple repeatsreject analysisreject rateX-rays

Identifiers

PMID33826800
PMCPMC8424327
OpenAlexW3149251722

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.