Radiographic texture reproducibility: The impact of different materials, their arrangement, and focal spot size
Background: Feature reproducibility is a critical issue in quantitative radiomic studies. The aim of this study is to assess how radiographic radiomic textures behave against changes in phantom materials, their arrangements, and focal spot size. Method: A phantom with detachable parts was made using...
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doaj-fa2a25ea5147474d810a9e2f5d59eb6e2020-12-02T13:11:11ZengWolters Kluwer Medknow PublicationsJournal of Medical Signals and Sensors2228-74772020-01-0110427528510.4103/jmss.JMSS_64_19Radiographic texture reproducibility: The impact of different materials, their arrangement, and focal spot sizeYounes QasempourAmirsalar MohammadiMostafa RezaeiParisa PouryazadanpanahFatemeh ZiaddiniAlma BorboriIsaac ShiriGhasem HajianfarAzam JanatiSareh GhasemiradHamid AbdollahiBackground: Feature reproducibility is a critical issue in quantitative radiomic studies. The aim of this study is to assess how radiographic radiomic textures behave against changes in phantom materials, their arrangements, and focal spot size. Method: A phantom with detachable parts was made using wood, sponge, Plexiglas, and rubber. Each material had 1 cm thickness and was imaged for consecutive time. The phantom also was imaged by change in the arrangement of its materials. Imaging was done with two focal spot sizes including 0.6 and 1.2 mm. All images were acquired with a digital radiography machine. Several texture features were extracted from the same size region of interest in all images. To assess reproducibility, coefficient of variation (COV), intraclass correlation coefficient (ICC), and Bland–Altman tests were used. Results: Results show that 59%, 50%, and 4.5% of all features are most reproducible (COV ≤5%) against change in focal spot size, material arrangements, and phantom's materials, respectively. Results on Bland–Altman analysis showed that there is just a nonreproducible feature against change in the focal spot size. On the ICC results, we observed that the ICCs for more features are >0.90 and there were few features with ICC lower than 0.90. Conclusion: We showed that radiomic textures are vulnerable against changes in materials, arrangement, and different focal spot sizes. These results suggest that a careful analysis of the effects of these parameters is essential before any radiomic clinical application.http://www.jmssjournal.net/article.asp?issn=2228-7477;year=2020;volume=10;issue=4;spage=275;epage=285;aulast=Qasempourarrangementfocal spotmaterialsradiomic texturesreproducibility |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Younes Qasempour Amirsalar Mohammadi Mostafa Rezaei Parisa Pouryazadanpanah Fatemeh Ziaddini Alma Borbori Isaac Shiri Ghasem Hajianfar Azam Janati Sareh Ghasemirad Hamid Abdollahi |
spellingShingle |
Younes Qasempour Amirsalar Mohammadi Mostafa Rezaei Parisa Pouryazadanpanah Fatemeh Ziaddini Alma Borbori Isaac Shiri Ghasem Hajianfar Azam Janati Sareh Ghasemirad Hamid Abdollahi Radiographic texture reproducibility: The impact of different materials, their arrangement, and focal spot size Journal of Medical Signals and Sensors arrangement focal spot materials radiomic textures reproducibility |
author_facet |
Younes Qasempour Amirsalar Mohammadi Mostafa Rezaei Parisa Pouryazadanpanah Fatemeh Ziaddini Alma Borbori Isaac Shiri Ghasem Hajianfar Azam Janati Sareh Ghasemirad Hamid Abdollahi |
author_sort |
Younes Qasempour |
title |
Radiographic texture reproducibility: The impact of different materials, their arrangement, and focal spot size |
title_short |
Radiographic texture reproducibility: The impact of different materials, their arrangement, and focal spot size |
title_full |
Radiographic texture reproducibility: The impact of different materials, their arrangement, and focal spot size |
title_fullStr |
Radiographic texture reproducibility: The impact of different materials, their arrangement, and focal spot size |
title_full_unstemmed |
Radiographic texture reproducibility: The impact of different materials, their arrangement, and focal spot size |
title_sort |
radiographic texture reproducibility: the impact of different materials, their arrangement, and focal spot size |
publisher |
Wolters Kluwer Medknow Publications |
series |
Journal of Medical Signals and Sensors |
issn |
2228-7477 |
publishDate |
2020-01-01 |
description |
Background: Feature reproducibility is a critical issue in quantitative radiomic studies. The aim of this study is to assess how radiographic radiomic textures behave against changes in phantom materials, their arrangements, and focal spot size. Method: A phantom with detachable parts was made using wood, sponge, Plexiglas, and rubber. Each material had 1 cm thickness and was imaged for consecutive time. The phantom also was imaged by change in the arrangement of its materials. Imaging was done with two focal spot sizes including 0.6 and 1.2 mm. All images were acquired with a digital radiography machine. Several texture features were extracted from the same size region of interest in all images. To assess reproducibility, coefficient of variation (COV), intraclass correlation coefficient (ICC), and Bland–Altman tests were used. Results: Results show that 59%, 50%, and 4.5% of all features are most reproducible (COV ≤5%) against change in focal spot size, material arrangements, and phantom's materials, respectively. Results on Bland–Altman analysis showed that there is just a nonreproducible feature against change in the focal spot size. On the ICC results, we observed that the ICCs for more features are >0.90 and there were few features with ICC lower than 0.90. Conclusion: We showed that radiomic textures are vulnerable against changes in materials, arrangement, and different focal spot sizes. These results suggest that a careful analysis of the effects of these parameters is essential before any radiomic clinical application. |
topic |
arrangement focal spot materials radiomic textures reproducibility |
url |
http://www.jmssjournal.net/article.asp?issn=2228-7477;year=2020;volume=10;issue=4;spage=275;epage=285;aulast=Qasempour |
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