Evidence map›Paper›PMID 26500784›Full record

ArticleActa radiologica open2015

Image rejects in general direct digital radiography.

Bjørn Hofmann, Tine Blomberg Rosanowsky, Camilla Jensen, Kenneth Hong Ching Wah

Open access · goldAbstract read
In one paragraph

Article in Acta radiologica open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 66 citations in OpenAlex.

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  11. Assessment of image rejection in digital radiography.Journal of medicine and life · 2023
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  20. Detecting Technical Image Quality in Radiology Reports.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
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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 at 1 institution in 1 country.

Bjørn HofmannSection for Health, Technology, and Society, Gjøvik University College, Gjøvik, Norway and Centre for Medical Ethics, University of Oslo, Oslo, Norway.
Tine Blomberg RosanowskyDepartment of Health, Care and Nursing, Gjøvik University College, Gjøvik, Norway.
Camilla JensenDepartment of Health, Care and Nursing, Gjøvik University College, Gjøvik, Norway.
Kenneth Hong Ching WahDepartment of Health, Care and Nursing, Gjøvik University College, Gjøvik, Norway.
University of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of rejected images is an indicator of image quality and unnecessary imaging at a radiology department. Image reject analysis was frequent in the film era, but comparably few and small studies have been published after converting to digital radiography. One reason may be a belief that rejects have been eliminated with digitalization. PURPOSE: To measure the extension of deleted images in direct digital radiography (DR), in order to assess the rates of rejects and unnecessary imaging and to analyze reasons for deletions, in order to improve the radiological services. MATERIAL AND

methodsAll exposed images at two direct digital laboratories at a hospital in Norway were reviewed in January 2014. Type of examination, number of exposed images, and number of deleted images were registered. Each deleted image was analyzed separately and the reason for deleting the image was recorded.

resultsOut of 5417 exposed images, 596 were deleted, giving a deletion rate of 11%. A total of 51.3% were deleted due to positioning errors and 31.0% due to error in centering. The examinations with the highest percentage of deleted images were the knee, hip, and ankle, 20.6%, 18.5%, and 13.8% respectively.

conclusionThe reject rate is at least as high as the deletion rate and is comparable with previous film-based imaging systems. The reasons for rejection are quite different in digital systems. This falsifies the hypothesis that digitalization would eliminates rejects. A deleted image does not contribute to diagnostics, and therefore is an unnecessary image. Hence, the high rates of deleted images have implications for management, training, education, as well as for quality.

Indexed as

Digital radiographyethicsradiation safetytechnology assessments

Identifiers

PMID26500784
PMCPMC4601124
OpenAlexW2172907471

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.