Evidence map›Paper›PMID 37520472›Full record

ArticleJournal of medicine and life2023

Assessment of image rejection in digital radiography.

Mohamed Hasaneen, Noora AlHameli, Amel AlMinhali, Shamma Alshehhi, Suliman Salih, Mohammad Mubarak Alomaim

Abstract read
In one paragraph

Article in Journal of medicine and life, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The performance of ChatGPT-4.0o in medical imaging evaluation: a cross-sectional studyJournal of educational evaluation for health professions · 2024
    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

6 authors.

Mohamed HasaneenDepartment of Radiology and Medical Imaging, Fatima College of Health Sciences, Abu Dhabi, United Arab Emirates.
Noora AlHameliDepartment of Radiology and Medical Imaging, Fatima College of Health Sciences, Abu Dhabi, United Arab Emirates.
Amel AlMinhaliDepartment of Radiology and Medical Imaging, Fatima College of Health Sciences, Abu Dhabi, United Arab Emirates.
Shamma AlshehhiDepartment of Radiology and Medical Imaging, Fatima College of Health Sciences, Abu Dhabi, United Arab Emirates.
Suliman SalihDepartment of Radiology and Medical Imaging, Fatima College of Health Sciences, Abu Dhabi, United Arab Emirates.
Mohammad Mubarak AlomaimKing Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

X-ray imaging uses ionizing radiation to generate diagnostic images. However, unnecessary radiation exposure can pose potential risks, including an increased risk of malignancy. One factor contributing to unnecessary radiation exposure is the rejection and retaking of X-ray images, which can lead to higher patient and occupational radiation doses. This study aimed to assess digital radiography rejection rates, causes of recurrence, and the most commonly repeated types of examinations. A cross-sectional online-based survey was conducted in 2022, involving 62 randomly selected radiographers in the UAE. The survey was distributed to radiographers through the head of radiology departments in various hospitals. Hospitals agreed to participate in the survey without disclosing their name. The data collected was analyzed using Excel. The study showed that 71% of radiographers working in the UAE hold a bachelor's degree. The examinations most frequently repeated were related to anatomical areas, with the spine accounting for 37.7% and facial bone for 19.7% of cases. The factors influencing repetition were primarily related to positioning (48.4%) and artifacts (21%), with the motion being the main cause of artifacts, including voluntary and involuntary movements. This study concluded that the most prevalent cause of repeating and retaking images is positioning, followed by artifacts. Furthermore, night shifts and workload impact radiographer performance, increasing the likelihood of picture retakes. The average number of rejects and repeated images has been reduced as new generations and modern equipment have been introduced, which also helped decrease the numbers.

Indexed as

Radiographic Image EnhancementArtifactsCross-Sectional StudiesFemaleHumansMaleRadiation DosageSurveys and Questionnairesionizing radiationmedical imagingreject analysis

Identifiers

PMID37520472
PMCPMC10375339

What OpenQuestion holds

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LicenceCC BY
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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.