Evidence map›Paper›PMID 39452421›Full record

ArticleJournal of imaging2024

Design and Use of a Custom Phantom for Regular Tests of Radiography Apparatus: A Feasibility Study.

Nikolay Dukov, Vanessa-Mery Valkova, Mariana Yordanova, Virginia Tsapaki, Kristina Bliznakova

Abstract read
In one paragraph

Article in Journal of imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Nikolay DukovDepartment of Medical Equipment, Electronic and Information Technologies in Healthcare, Medical University of Varna, 9002 Varna, Bulgaria.ORCID 0000-0003-2697-6194
Vanessa-Mery ValkovaSpecialized Hospital of Obstetrics and Gynecology-Varna, 9002 Varna, Bulgaria.
Mariana YordanovaTraining sector "X-Ray Laboratory Assistant", Medical College, Medical University of Varna, 9002 Varna, Bulgaria.ORCID 0000-0002-0833-7121
Virginia TsapakiSection of Dosimetry and Medical Radiation Physics, Division of Human Health, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, 1400 Vienna, Austria.ORCID 0000-0003-0275-4650
Kristina BliznakovaDepartment of Medical Equipment, Electronic and Information Technologies in Healthcare, Medical University of Varna, 9002 Varna, Bulgaria.ORCID 0000-0002-3630-5936

Funding

European Union-NextGenerationEU BG-RRP-2.004-0009
6 · The paper itself

Abstract

This study investigates the feasibility of employing an in-house-developed physical phantom dedicated to the weekly quality control testing of radiographic systems, performed by radiographers. For this purpose, a 3D phantom was fabricated, featuring test objects, including a model representing a lesion. Alongside this phantom, a commercial phantom, specifically, IBA's Primus L, was utilized. Weekly imaging of both phantoms was conducted over a span of four weeks, involving different imaging protocols and anode voltages. Subsequently, the obtained data underwent visual evaluation, as well as measurement of the intensity of selected regions of interest. The average values for three incident kilovoltages remained consistently stable over the four weeks, with the exception of the "low energy" case, which exhibited variability during the first week of measurements. Following experiments in "Week 1", the X-Ray unit was identified as malfunctioning and underwent necessary repairs. The in-house-developed phantom demonstrated its utility in assessing the performance of the X-Ray system.

Indexed as

in-house phantomquality controlradiographerX-Ray

Identifiers

PMID39452421
PMCPMC11508318

What OpenQuestion holds

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Registered trials

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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.