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Understanding entrance‐air‐kerma as a quality‐control metric for dual‐energy x‐ray absorptiometry

PURPOSE: The low exposures, unique x‐ray beam geometry, and scanning design in dual‐energy x‐ray absorptiometry (DXA) make measurement and quality‐control strategies different from traditional x‐ray equipment. This study examines the dependence of measured entrance‐air‐kerma (EAK) on both dose senso...

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Autores principales: Thomas, Matthew Allan, Jimenez, Jorge Ernesto, Fahrenholtz, Samuel John, Hamdani, Khushnood, Erwin, William Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9588270/
https://www.ncbi.nlm.nih.gov/pubmed/36057962
http://dx.doi.org/10.1002/acm2.13779
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author Thomas, Matthew Allan
Jimenez, Jorge Ernesto
Fahrenholtz, Samuel John
Hamdani, Khushnood
Erwin, William Daniel
author_facet Thomas, Matthew Allan
Jimenez, Jorge Ernesto
Fahrenholtz, Samuel John
Hamdani, Khushnood
Erwin, William Daniel
author_sort Thomas, Matthew Allan
collection PubMed
description PURPOSE: The low exposures, unique x‐ray beam geometry, and scanning design in dual‐energy x‐ray absorptiometry (DXA) make measurement and quality‐control strategies different from traditional x‐ray equipment. This study examines the dependence of measured entrance‐air‐kerma (EAK) on both dose sensor type and scan length. The feasibility of using EAK to compare scanner output between different scan modes, individual scanners, and scanner platforms was also established. Finally, the congruence between measured and vendor‐reported EAK was analyzed. METHODS: Four Hologic DXA scanners at two institutions and all four available scan modes were tested. EAK was measured directly by three types of Radcal dose sensors: 60‐cc pancake ion‐chamber (IC), 180‐cc pancake IC, and solid‐state detector. The coefficient of variation (COV) was used to assess the dependence of EAK on scan length. Variations in EAK between the types of dose sensors as well as measured versus vendor‐reported values were evaluated using Bland–Altman analysis: mean ±95% prediction interval (PI): 1.96σ. RESULTS: Dose sensor variations in EAK were minimal, with a −3.5 ± 3.5% (mean ±95% PI) percent difference between the two sizes of IC's. The solid‐state detector produced highly similar measurements to the 180‐cc IC. These small differences were consistent across all scanners and all scan modes tested. Neither measured nor vendor‐reported EAK values were found to show relevant dependence on scan length, with all COV values ≤4%. Differences between measured and reported EAK were higher at −6 ± 48%. Likely errors in vendor‐reported EAK calculations were also identified. CONCLUSION: It is feasible to quantify DXA scanner stability using EAK as a quality‐control metric with a variety of solid‐state and IC dose sensors, and the scan length used is not critical. Although vendor‐reported EAK was consistent among scanners of the same platform, measured EAK varied significantly from scanner to scanner. As a result, measured and reported EAK may not always be comparable.
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spelling pubmed-95882702022-10-25 Understanding entrance‐air‐kerma as a quality‐control metric for dual‐energy x‐ray absorptiometry Thomas, Matthew Allan Jimenez, Jorge Ernesto Fahrenholtz, Samuel John Hamdani, Khushnood Erwin, William Daniel J Appl Clin Med Phys Radiation Measurements PURPOSE: The low exposures, unique x‐ray beam geometry, and scanning design in dual‐energy x‐ray absorptiometry (DXA) make measurement and quality‐control strategies different from traditional x‐ray equipment. This study examines the dependence of measured entrance‐air‐kerma (EAK) on both dose sensor type and scan length. The feasibility of using EAK to compare scanner output between different scan modes, individual scanners, and scanner platforms was also established. Finally, the congruence between measured and vendor‐reported EAK was analyzed. METHODS: Four Hologic DXA scanners at two institutions and all four available scan modes were tested. EAK was measured directly by three types of Radcal dose sensors: 60‐cc pancake ion‐chamber (IC), 180‐cc pancake IC, and solid‐state detector. The coefficient of variation (COV) was used to assess the dependence of EAK on scan length. Variations in EAK between the types of dose sensors as well as measured versus vendor‐reported values were evaluated using Bland–Altman analysis: mean ±95% prediction interval (PI): 1.96σ. RESULTS: Dose sensor variations in EAK were minimal, with a −3.5 ± 3.5% (mean ±95% PI) percent difference between the two sizes of IC's. The solid‐state detector produced highly similar measurements to the 180‐cc IC. These small differences were consistent across all scanners and all scan modes tested. Neither measured nor vendor‐reported EAK values were found to show relevant dependence on scan length, with all COV values ≤4%. Differences between measured and reported EAK were higher at −6 ± 48%. Likely errors in vendor‐reported EAK calculations were also identified. CONCLUSION: It is feasible to quantify DXA scanner stability using EAK as a quality‐control metric with a variety of solid‐state and IC dose sensors, and the scan length used is not critical. Although vendor‐reported EAK was consistent among scanners of the same platform, measured EAK varied significantly from scanner to scanner. As a result, measured and reported EAK may not always be comparable. John Wiley and Sons Inc. 2022-09-04 /pmc/articles/PMC9588270/ /pubmed/36057962 http://dx.doi.org/10.1002/acm2.13779 Text en © 2022 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Measurements
Thomas, Matthew Allan
Jimenez, Jorge Ernesto
Fahrenholtz, Samuel John
Hamdani, Khushnood
Erwin, William Daniel
Understanding entrance‐air‐kerma as a quality‐control metric for dual‐energy x‐ray absorptiometry
title Understanding entrance‐air‐kerma as a quality‐control metric for dual‐energy x‐ray absorptiometry
title_full Understanding entrance‐air‐kerma as a quality‐control metric for dual‐energy x‐ray absorptiometry
title_fullStr Understanding entrance‐air‐kerma as a quality‐control metric for dual‐energy x‐ray absorptiometry
title_full_unstemmed Understanding entrance‐air‐kerma as a quality‐control metric for dual‐energy x‐ray absorptiometry
title_short Understanding entrance‐air‐kerma as a quality‐control metric for dual‐energy x‐ray absorptiometry
title_sort understanding entrance‐air‐kerma as a quality‐control metric for dual‐energy x‐ray absorptiometry
topic Radiation Measurements
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9588270/
https://www.ncbi.nlm.nih.gov/pubmed/36057962
http://dx.doi.org/10.1002/acm2.13779
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