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Robustness of radiomics among photon-counting detector CT and dual-energy CT systems: a texture phantom study.

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Title: Robustness of radiomics among photon-counting detector CT and dual-energy CT systems: a texture phantom study.
Authors: Zhu, Lan1 (AUTHOR), Dong, Haipeng1 (AUTHOR), Sun, Jing2 (AUTHOR), Wang, Lingyun1 (AUTHOR), Xing, Yue3 (AUTHOR), Hu, Yangfan3 (AUTHOR), Lu, Junjie4 (AUTHOR), Yang, Jiarui5 (AUTHOR), Chu, Jingshen6 (AUTHOR), Yan, Chao7 (AUTHOR) doctoryc@yeah.net, Yuan, Fei8 (AUTHOR) daphny2014@163.com, Zhong, Jingyu3 (AUTHOR) wal_zjy@163.com
Source: European Radiology. Feb2025, Vol. 35 Issue 2, p871-884. 14p.
Subjects: Multidetector computed tomography, Intraclass correlation, Radiomics, Dual energy CT (Tomography), Standard deviations
Abstract: Objectives: To evaluate the robustness of radiomics features among photon-counting detector CT (PCD-CT) and dual-energy CT (DECT) systems. Methods: A texture phantom consisting of twenty-eight materials was scanned with one PCD-CT and four DECT systems (dual-source, rapid kV-switching, dual-layer, and sequential scanning) at three dose levels twice. Thirty sets of virtual monochromatic images at 70 keV were reconstructed. Regions of interest were delineated for each material with a rigid registration. Ninety-three radiomics were extracted per PyRadiomics. The test-retest repeatability between repeated scans was assessed by Bland-Altman analysis. The intra-system reproducibility between dose levels, and inter-system reproducibility within the same dose level, were evaluated by intraclass correlation coefficient (ICC) and concordance correlation coefficient (CCC). Inter-system variability among five scanners was assessed by coefficient of variation (CV) and quartile coefficient of dispersion (QCD). Results: The test–retest repeatability analysis presented that 97.1% of features were repeatable between scan–rescans. The mean ± standard deviation ICC and CCC were 0.945 ± 0.079 and 0.945 ± 0.079 for intra-system reproducibility, respectively, and 86.0% and 85.7% of features were with ICC > 0.90 and CCC > 0.90, respectively, between different dose levels. The mean ± standard deviation ICC and CCC were 0.157 ± 0.174 and 0.157 ± 0.174 for inter-system reproducibility, respectively, and none of the features were with ICC > 0.90 or CCC > 0.90 within the same dose level. The inter-system variability suggested that 6.5% and 12.8% of features were with CV < 10% and QCD < 10%, respectively, among five CT systems. Conclusion: The radiomics features were non-reproducible with significant variability in values among different CT techniques. Clinical relevance statement: Radiomics features are non-reproducible with significant variability in values among photon-counting detector CT and dual-energy CT systems, necessitating careful attention to improve the cross-system generalizability of radiomic features before implementation of radiomics analysis in clinical routine. Key Points: CT radiomics stability should be guaranteed before the implementation in the clinical routine. Radiomics robustness was on a low level among photon-counting detectors and dual-energy CT techniques. Limited inter-system robustness of radiomic features may impact the generalizability of models. [ABSTRACT FROM AUTHOR]
Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Robustness of radiomics among photon-counting detector CT and dual-energy CT systems: a texture phantom study.
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Zhu%2C+Lan%22&quot;&gt;Zhu, Lan&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Dong%2C+Haipeng%22&quot;&gt;Dong, Haipeng&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Sun%2C+Jing%22&quot;&gt;Sun, Jing&lt;/searchLink&gt;&lt;relatesTo&gt;2&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Wang%2C+Lingyun%22&quot;&gt;Wang, Lingyun&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Xing%2C+Yue%22&quot;&gt;Xing, Yue&lt;/searchLink&gt;&lt;relatesTo&gt;3&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Hu%2C+Yangfan%22&quot;&gt;Hu, Yangfan&lt;/searchLink&gt;&lt;relatesTo&gt;3&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Lu%2C+Junjie%22&quot;&gt;Lu, Junjie&lt;/searchLink&gt;&lt;relatesTo&gt;4&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Yang%2C+Jiarui%22&quot;&gt;Yang, Jiarui&lt;/searchLink&gt;&lt;relatesTo&gt;5&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Chu%2C+Jingshen%22&quot;&gt;Chu, Jingshen&lt;/searchLink&gt;&lt;relatesTo&gt;6&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Yan%2C+Chao%22&quot;&gt;Yan, Chao&lt;/searchLink&gt;&lt;relatesTo&gt;7&lt;/relatesTo&gt; (AUTHOR)&lt;i&gt; doctoryc@yeah.net&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Yuan%2C+Fei%22&quot;&gt;Yuan, Fei&lt;/searchLink&gt;&lt;relatesTo&gt;8&lt;/relatesTo&gt; (AUTHOR)&lt;i&gt; daphny2014@163.com&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Zhong%2C+Jingyu%22&quot;&gt;Zhong, Jingyu&lt;/searchLink&gt;&lt;relatesTo&gt;3&lt;/relatesTo&gt; (AUTHOR)&lt;i&gt; wal_zjy@163.com&lt;/i&gt;
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22European+Radiology%22&quot;&gt;European Radiology&lt;/searchLink&gt;. Feb2025, Vol. 35 Issue 2, p871-884. 14p.
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  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Multidetector+computed+tomography%22&quot;&gt;Multidetector computed tomography&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Intraclass+correlation%22&quot;&gt;Intraclass correlation&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Radiomics%22&quot;&gt;Radiomics&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Dual+energy+CT+%28Tomography%29%22&quot;&gt;Dual energy CT (Tomography)&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Standard+deviations%22&quot;&gt;Standard deviations&lt;/searchLink&gt;
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objectives: To evaluate the robustness of radiomics features among photon-counting detector CT (PCD-CT) and dual-energy CT (DECT) systems. Methods: A texture phantom consisting of twenty-eight materials was scanned with one PCD-CT and four DECT systems (dual-source, rapid kV-switching, dual-layer, and sequential scanning) at three dose levels twice. Thirty sets of virtual monochromatic images at 70 keV were reconstructed. Regions of interest were delineated for each material with a rigid registration. Ninety-three radiomics were extracted per PyRadiomics. The test-retest repeatability between repeated scans was assessed by Bland-Altman analysis. The intra-system reproducibility between dose levels, and inter-system reproducibility within the same dose level, were evaluated by intraclass correlation coefficient (ICC) and concordance correlation coefficient (CCC). Inter-system variability among five scanners was assessed by coefficient of variation (CV) and quartile coefficient of dispersion (QCD). Results: The test–retest repeatability analysis presented that 97.1% of features were repeatable between scan–rescans. The mean &#177; standard deviation ICC and CCC were 0.945 &#177; 0.079 and 0.945 &#177; 0.079 for intra-system reproducibility, respectively, and 86.0% and 85.7% of features were with ICC &gt; 0.90 and CCC &gt; 0.90, respectively, between different dose levels. The mean &#177; standard deviation ICC and CCC were 0.157 &#177; 0.174 and 0.157 &#177; 0.174 for inter-system reproducibility, respectively, and none of the features were with ICC &gt; 0.90 or CCC &gt; 0.90 within the same dose level. The inter-system variability suggested that 6.5% and 12.8% of features were with CV &lt; 10% and QCD &lt; 10%, respectively, among five CT systems. Conclusion: The radiomics features were non-reproducible with significant variability in values among different CT techniques. Clinical relevance statement: Radiomics features are non-reproducible with significant variability in values among photon-counting detector CT and dual-energy CT systems, necessitating careful attention to improve the cross-system generalizability of radiomic features before implementation of radiomics analysis in clinical routine. Key Points: CT radiomics stability should be guaranteed before the implementation in the clinical routine. Radiomics robustness was on a low level among photon-counting detectors and dual-energy CT techniques. Limited inter-system robustness of radiomic features may impact the generalizability of models. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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