Evidence map›Paper›PMID 32748218›Full record

ArticleInsights into imaging2020

Computed tomography radiation doses for common computed tomography examinations: a nationwide dose survey in United Arab Emirates.

Mohamed M Abuzaid, Wiam Elshami, Huseyin Ozan Tekin, Hatem Ghonim, Mona Shawki, Dina H Salama

Abstract read
In one paragraph

Article in Insights into imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  4. Review
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  8. First clinical experience with a novel, mobile cone-beam CT system for treatment quality assurance in brachytherapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2022
    Article
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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

6 authors.

Mohamed M AbuzaidDepartment of Medical Diagnostic Imaging, College of Health Sciences, University of Sharjah, P.O.Box 27272, Sharjah, UAE. mabdelfatah@sharjah.ac.ae.ORCID http://orcid.org/0000-0002-6320-9878
Wiam ElshamiDepartment of Medical Diagnostic Imaging, College of Health Sciences, University of Sharjah, P.O.Box 27272, Sharjah, UAE.
Huseyin Ozan TekinDepartment of Medical Diagnostic Imaging, College of Health Sciences, University of Sharjah, P.O.Box 27272, Sharjah, UAE.
Hatem GhonimCollege of Medicine, University of Sharjah, Sharjah, UAE.
Mona ShawkiFaculty of Medicine, Alexandria University, Alexandria, Egypt.
Dina H SalamaNational Center of Radiation Research and Technology, Atomic Energy Authority, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesComputed tomography (CT) scanning is an essential part of diagnostic and treatment plans, providing swift and accurate diagnostic images. The aim of this study is to develop diagnostic reference levels (DRLs) for the adult common CT examination in the United Arab Emirates (UAE).

methodsThis study presents results of the survey of CT dose indices. The data were collected from 91% of the scanners registered at the Ministry of Health and Prevention (MOHAP) for five common examinations: head, chest, and abdomen-pelvis with and without CM.

resultsCT dose index, dose-length product, and patient weight were analyzed; the reference dose was calculated on the 75th percentile, and an achievable dose was proposed from the median value. The results were compared with the UAE initial National Dose Report as well as the international reports. The proposed dose for CTDI

conclusionsThe results show low dose variations between the MOHAP scanners. The data also revealed CTDI

Indexed as

Computed tomographyCTDIvolCT dose indicesDiagnostic reference levelsDLP

Identifiers

PMID32748218
PMCPMC7399721

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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.