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Robustness of radiomics features of virtual unenhanced and virtual monoenergetic images in dual-energy CT among different imaging platforms and potential role of CT number variability

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收录情况： ◇ SCIE

作者：
Zhong Jingyu[1] * ; Pan Zilai[2] * ; Chen Yong[2] ; Wang Lingyun[2] ; Xia Yihan[2] ; Wang Lan[2] ; Li Jianying[3] ; Lu Wei[4] ; Shi Xiaomeng[5] ; Feng Jianxing[6] ; Yan Fuhua[2] ; Zhang Huan[2] ; Yao Weiwu[1] ;
机构： [1]Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China. [2]Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. [3]Computed Tomography Research Center, GE Healthcare, Beijing, 100176, China. [4]Computed Tomography Research Center, GE Healthcare, Shanghai, 201203, China. [5]Department of Materials, Imperial College London, London, SW7 2AZ, UK. [6]Haohua Technology Co., Ltd., Shanghai, 201100, China
出处：
DOI： 10.1186/s13244-023-01426-5
ISSN：

关键词： Machine learning Multidetector computed tomography Reproducibility of results Image enhancement Image reconstruction

摘要：
To evaluate robustness of dual-energy CT (DECT) radiomics features of virtual unenhanced (VUE) image and virtual monoenergetic image (VMI) among different imaging platforms.A phantom with sixteen clinical-relevant densities was scanned on ten DECT platforms with comparable scan parameters. Ninety-four radiomic features were extracted via Pyradiomics from VUE images and VMIs at energy level of 70 keV (VMI70keV). Test-retest repeatability was assessed by Bland-Altman analysis. Inter-platform reproducibility of VUE images and VMI70keV was evaluated by coefficient of variation (CV) and quartile coefficient of dispersion (QCD) among platforms, and by intraclass correlation coefficient (ICC) and concordance correlation coefficient (CCC) between platform pairs. The correlation between variability of CT number radiomics reproducibility was estimated.92.02% and 92.87% of features were repeatable between scan-rescans for VUE images and VMI70keV, respectively. Among platforms, 11.30% and 28.39% features of VUE images, and 15.16% and 28.99% features of VMI70keV were with CV < 10% and QCD < 10%. The average percentages of radiomics features with ICC > 0.90 and CCC > 0.90 between platform pairs were 10.00% and 9.86% in VUE images and 11.23% and 11.23% in VMI70keV. The CT number inter-platform reproducibility using CV and QCD showed negative correlations with percentage of the first-order radiomics features with CV < 10% and QCD < 10%, in both VUE images and VMI70keV (r2 0.3870-0.6178, all p < 0.001).The majority of DECT radiomics features were non-reproducible. The differences in CT number were considered as an indicator of inter-platform DECT radiomics variation. Critical relevance statement: The majority of radiomics features extracted from the VUE images and the VMI70keV were non-reproducible among platforms, while synchronizing energy levels of VMI to reduce the CT number value variability may be a potential way to mitigate radiomics instability.© 2023. The Author(s).

基金：
National Natural Science Foundation of China (82271934), Shanghai Science and Technology Commission Science and Technology Innovation Action Clinical Innovation Field (18411953000), Yangfan Project of Science and Technology Commission of Shanghai Municipality (22YF1442400), Medicine and Engineering Combination Project of Shanghai Jiao Tong University (YG2019ZDB09, YG2021QN08), and Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine (TRKYRC-XX202204), Guangci Innovative Technology Launch Plan of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine (2022-13).
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外文
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出版当年[2022]版：
大类 | 2 区 医学
小类 | 2 区 核医学
最新[2025]版：
大类 | 2 区 医学
小类 | 2 区 核医学
JCR分区：
出版当年[2021]版：
Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2024]版：
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子： 最新[2024版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

第一作者：
第一作者机构： [1]Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
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通讯作者：
推荐引用方式(GB/T 7714)：
Zhong Jingyu,Pan Zilai,Chen Yong,et al.Robustness of radiomics features of virtual unenhanced and virtual monoenergetic images in dual-energy CT among different imaging platforms and potential role of CT number variability[J].INSIGHTS INTO IMAGING.2023,14(1):doi:10.1186/s13244-023-01426-5.
APA：
Zhong Jingyu,Pan Zilai,Chen Yong,Wang Lingyun,Xia Yihan...&Yao Weiwu.(2023).Robustness of radiomics features of virtual unenhanced and virtual monoenergetic images in dual-energy CT among different imaging platforms and potential role of CT number variability.INSIGHTS INTO IMAGING,14,(1)
MLA：
Zhong Jingyu,et al."Robustness of radiomics features of virtual unenhanced and virtual monoenergetic images in dual-energy CT among different imaging platforms and potential role of CT number variability".INSIGHTS INTO IMAGING 14..1(2023)

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