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Effect of tube current on computed tomography radiomic features

Variability in the x-ray tube current used in computed tomography may affect quantitative features extracted from the images. To investigate these effects, we scanned the Credence Cartridge Radiomics phantom 12 times, varying the tube current from 25 to 300 mA∙s while keeping the other acquisition p...

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Autores principales: Mackin, Dennis, Ger, Rachel, Dodge, Cristina, Fave, Xenia, Chi, Pai-Chun, Zhang, Lifei, Yang, Jinzhong, Bache, Steve, Dodge, Charles, Jones, A. Kyle, Court, Laurence
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5799381/
https://www.ncbi.nlm.nih.gov/pubmed/29403060
http://dx.doi.org/10.1038/s41598-018-20713-6
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author Mackin, Dennis
Ger, Rachel
Dodge, Cristina
Fave, Xenia
Chi, Pai-Chun
Zhang, Lifei
Yang, Jinzhong
Bache, Steve
Dodge, Charles
Jones, A. Kyle
Court, Laurence
author_facet Mackin, Dennis
Ger, Rachel
Dodge, Cristina
Fave, Xenia
Chi, Pai-Chun
Zhang, Lifei
Yang, Jinzhong
Bache, Steve
Dodge, Charles
Jones, A. Kyle
Court, Laurence
author_sort Mackin, Dennis
collection PubMed
description Variability in the x-ray tube current used in computed tomography may affect quantitative features extracted from the images. To investigate these effects, we scanned the Credence Cartridge Radiomics phantom 12 times, varying the tube current from 25 to 300 mA∙s while keeping the other acquisition parameters constant. For each of the scans, we extracted 48 radiomic features from the categories of intensity histogram (n = 10), gray-level run length matrix (n = 11), gray-level co-occurrence matrix (n = 22), and neighborhood gray tone difference matrix (n = 5). To gauge the size of the tube current effects, we scaled the features by the coefficient of variation of the corresponding features extracted from images of non-small cell lung cancer tumors. Variations in the tube current had more effect on features extracted from homogeneous materials (acrylic, sycamore wood) than from materials with more tissue-like textures (cork, rubber particles). Thirty-eight of the 48 features extracted from acrylic were affected by current reductions compared with only 2 of the 48 features extracted from rubber particles. These results indicate that variable x-ray tube current is unlikely to have a large effect on radiomic features extracted from computed tomography images of textured objects such as tumors.
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spelling pubmed-57993812018-02-14 Effect of tube current on computed tomography radiomic features Mackin, Dennis Ger, Rachel Dodge, Cristina Fave, Xenia Chi, Pai-Chun Zhang, Lifei Yang, Jinzhong Bache, Steve Dodge, Charles Jones, A. Kyle Court, Laurence Sci Rep Article Variability in the x-ray tube current used in computed tomography may affect quantitative features extracted from the images. To investigate these effects, we scanned the Credence Cartridge Radiomics phantom 12 times, varying the tube current from 25 to 300 mA∙s while keeping the other acquisition parameters constant. For each of the scans, we extracted 48 radiomic features from the categories of intensity histogram (n = 10), gray-level run length matrix (n = 11), gray-level co-occurrence matrix (n = 22), and neighborhood gray tone difference matrix (n = 5). To gauge the size of the tube current effects, we scaled the features by the coefficient of variation of the corresponding features extracted from images of non-small cell lung cancer tumors. Variations in the tube current had more effect on features extracted from homogeneous materials (acrylic, sycamore wood) than from materials with more tissue-like textures (cork, rubber particles). Thirty-eight of the 48 features extracted from acrylic were affected by current reductions compared with only 2 of the 48 features extracted from rubber particles. These results indicate that variable x-ray tube current is unlikely to have a large effect on radiomic features extracted from computed tomography images of textured objects such as tumors. Nature Publishing Group UK 2018-02-05 /pmc/articles/PMC5799381/ /pubmed/29403060 http://dx.doi.org/10.1038/s41598-018-20713-6 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Mackin, Dennis
Ger, Rachel
Dodge, Cristina
Fave, Xenia
Chi, Pai-Chun
Zhang, Lifei
Yang, Jinzhong
Bache, Steve
Dodge, Charles
Jones, A. Kyle
Court, Laurence
Effect of tube current on computed tomography radiomic features
title Effect of tube current on computed tomography radiomic features
title_full Effect of tube current on computed tomography radiomic features
title_fullStr Effect of tube current on computed tomography radiomic features
title_full_unstemmed Effect of tube current on computed tomography radiomic features
title_short Effect of tube current on computed tomography radiomic features
title_sort effect of tube current on computed tomography radiomic features
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5799381/
https://www.ncbi.nlm.nih.gov/pubmed/29403060
http://dx.doi.org/10.1038/s41598-018-20713-6
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