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From the use of exposure index in quality control testing to the use of exposure index for quality control of clinical images
AIM: The exposure index (EI) is used in routine quality control (QC) tests performed in the radiographic equipment installed in our hospitals. This study aimed at investigating the factors affecting the calculation of EI in QC and clinical images, and the implementation of target EI (EI(T)) and devi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647429/ https://www.ncbi.nlm.nih.gov/pubmed/36386764 http://dx.doi.org/10.1016/j.ejro.2022.100454 |
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author | Tsalafoutas, Ioannis A. AlKhazzam, Shady AlNaemi, Huda Kharita, Mohammed Hassan |
author_facet | Tsalafoutas, Ioannis A. AlKhazzam, Shady AlNaemi, Huda Kharita, Mohammed Hassan |
author_sort | Tsalafoutas, Ioannis A. |
collection | PubMed |
description | AIM: The exposure index (EI) is used in routine quality control (QC) tests performed in the radiographic equipment installed in our hospitals. This study aimed at investigating the factors affecting the calculation of EI in QC and clinical images, and the implementation of target EI (EI(T)) and deviation index (DI) in clinical practice. METHODS: The EI is 100 times the incident air kerma (IAK) in μGy on the image receptor, using the RQA-5 X-ray beam quality. Conformance to this relationship was investigated in QC images and clinical images acquired using anthropomorphic phantom body parts and different examination protocols, tube potential settings and radiation field sizes. Furthermore, a survey on EI(T) and DI data from clinical images was performed. RESULTS: Though automatic exposure control (AEC) systems have been adjusted for an IAK of 2.5 μGy, for most anthropomorphic phantom images the EIs were far from 250, depending on the manufacturer, the anatomy imaged, and the examination protocol. Regarding the survey results, DI calculation was feasible in only 38 % of the systems, since for the rest EI(T) values have not been set. However, the rationale based on which EI(T) have been selected is unclear. Some systems use only one while others many different EI(T) values. CONCLUSION: Before using EI for quality control of clinical images image all receptors and AEC systems should be properly calibrated. Then, the methodology of selecting appropriate EI(T) should be refined, since the EI calculation may vary, depending on the manufacturer, the anatomy imaged, and the examination protocol. |
format | Online Article Text |
id | pubmed-9647429 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96474292022-11-15 From the use of exposure index in quality control testing to the use of exposure index for quality control of clinical images Tsalafoutas, Ioannis A. AlKhazzam, Shady AlNaemi, Huda Kharita, Mohammed Hassan Eur J Radiol Open Original Article AIM: The exposure index (EI) is used in routine quality control (QC) tests performed in the radiographic equipment installed in our hospitals. This study aimed at investigating the factors affecting the calculation of EI in QC and clinical images, and the implementation of target EI (EI(T)) and deviation index (DI) in clinical practice. METHODS: The EI is 100 times the incident air kerma (IAK) in μGy on the image receptor, using the RQA-5 X-ray beam quality. Conformance to this relationship was investigated in QC images and clinical images acquired using anthropomorphic phantom body parts and different examination protocols, tube potential settings and radiation field sizes. Furthermore, a survey on EI(T) and DI data from clinical images was performed. RESULTS: Though automatic exposure control (AEC) systems have been adjusted for an IAK of 2.5 μGy, for most anthropomorphic phantom images the EIs were far from 250, depending on the manufacturer, the anatomy imaged, and the examination protocol. Regarding the survey results, DI calculation was feasible in only 38 % of the systems, since for the rest EI(T) values have not been set. However, the rationale based on which EI(T) have been selected is unclear. Some systems use only one while others many different EI(T) values. CONCLUSION: Before using EI for quality control of clinical images image all receptors and AEC systems should be properly calibrated. Then, the methodology of selecting appropriate EI(T) should be refined, since the EI calculation may vary, depending on the manufacturer, the anatomy imaged, and the examination protocol. Elsevier 2022-11-09 /pmc/articles/PMC9647429/ /pubmed/36386764 http://dx.doi.org/10.1016/j.ejro.2022.100454 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Original Article Tsalafoutas, Ioannis A. AlKhazzam, Shady AlNaemi, Huda Kharita, Mohammed Hassan From the use of exposure index in quality control testing to the use of exposure index for quality control of clinical images |
title | From the use of exposure index in quality control testing to the use of exposure index for quality control of clinical images |
title_full | From the use of exposure index in quality control testing to the use of exposure index for quality control of clinical images |
title_fullStr | From the use of exposure index in quality control testing to the use of exposure index for quality control of clinical images |
title_full_unstemmed | From the use of exposure index in quality control testing to the use of exposure index for quality control of clinical images |
title_short | From the use of exposure index in quality control testing to the use of exposure index for quality control of clinical images |
title_sort | from the use of exposure index in quality control testing to the use of exposure index for quality control of clinical images |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647429/ https://www.ncbi.nlm.nih.gov/pubmed/36386764 http://dx.doi.org/10.1016/j.ejro.2022.100454 |
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