Evidence map›Paper›PMID 38050453›Full record

ArticleJournal of medical radiation sciences2024

Effects of body part thickness on low-contrast detail detection and radiation dose during adult chest radiography.

Sadeq Al-Murshedi, Kholoud Alzyoud, Mohamed Benhalim, Nadi Alresheedi, Stamatia Papathanasiou, Andrew England

Open access · goldAbstract read
In one paragraph

Article in Journal of medical radiation sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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 at 6 institutions in 7 countries.

Sadeq Al-MurshediCollege of Health and Medical Technology, AL-Zahraa University for Women, Karbala, Iraq.ORCID https://orcid.org/0000-0003-3851-2477
Kholoud AlzyoudDepartment of Medical Imaging, Faculty of Applied Health science, The Hashemite University, Zarqa, Jordan.ORCID https://orcid.org/0000-0002-2257-3841
Mohamed BenhalimCollage of Medical Technology Misurata, Misurata, Libya.
Nadi AlresheediDepartment of General studies, Royal Commission for Jubail and Yanbu, Yanbu Industrial College, Yanbu, Kingdom of Saudi Arabia.
Stamatia PapathanasiouCity University of London, London, UK.
Andrew EnglandSchool of Medicine, University College Cork, Cork, Ireland.
City, University of London · GBHashemite University · JOMisurata University · LYRoyal Commission for Jubail and Yanbu · SAUniversity College Cork · IEUniversity of Babylon · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDifferences in patient size often provide challenges for radiographers, particularly when choosing the optimum acquisition parameters to obtain radiographs with acceptable image quality (IQ) for diagnosis. This study aimed to assess the effect of body part thickness on IQ in terms of low-contrast detail (LCD) detection and radiation dose when undertaking adult chest radiography (CXR).

methodsThis investigation made use of a contrast detail (CD) phantom. Polymethyl methacrylate (PMMA) was utilised to approximate varied body part thicknesses (9, 11, 15 and 17 cm) simulating underweight, standard, overweight and obese patients, respectively. Different tube potentials were tested against a fixed 180 cm source to image distance (SID) and automatic exposure control (AEC). IQ was analysed using bespoke software thus providing an image quality figure inverse (IQF

resultsIQF

conclusionOur findings demonstrate that lower tube potentials provide the highest IQF

Indexed as

Human BodyPolymethyl MethacrylateAdultHumansPhantoms, ImagingRadiation DosageRadiographyPolymethyl MethacrylateCDRAD 2.0 phantomchest radiographyimage qualitylow-contrast details detectabilityobesityradiation dose

Identifiers

PMID38050453
PMCPMC10920928
OpenAlexW4389342369

What OpenQuestion holds

Textmetadata
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.