Reproducibility and Repeatability of CBCT-Derived Radiomics Features

PurposeThis study was conducted in order to determine the reproducibility and repeatability of cone-beam computed tomography (CBCT) radiomics features.MethodsThe first-, second-, and fifth-day CBCT images from 10 head and neck (H&N) cancer patients and 10 pelvic cancer patients were retrospe...

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Autores principales: Hao Wang, Yongkang Zhou, Xiao Wang, Yin Zhang, Chi Ma, Bo Liu, Qing Kong, Ning Yue, Zhiyong Xu, Ke Nie
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Publicado: Frontiers Media S.A. 2021
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spelling oai:doaj.org-article:4be81853d2ae4a3d8f2c5651aec869832021-11-18T11:47:39ZReproducibility and Repeatability of CBCT-Derived Radiomics Features2234-943X10.3389/fonc.2021.773512https://doaj.org/article/4be81853d2ae4a3d8f2c5651aec869832021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fonc.2021.773512/fullhttps://doaj.org/toc/2234-943XPurposeThis study was conducted in order to determine the reproducibility and repeatability of cone-beam computed tomography (CBCT) radiomics features.MethodsThe first-, second-, and fifth-day CBCT images from 10 head and neck (H&N) cancer patients and 10 pelvic cancer patients were retrospectively collected for this study. Eighteen common radiomics features were extracted from the longitudinal CBCT images using two radiomics packages. The reproducibility of CBCT-derived radiomics features was assessed using the first-day image as input and compared across the two software packages. The site-specific intraclass correlation coefficient (ICC) was used to quantitatively assess the agreement between packages. The repeatability of CBCT-based radiomics features was evaluated by comparing the following days of CBCT to the first-day image and quantified using site-specific concordance correlation coefficient (CCC). Furthermore, the correlation with volume for all the features was assessed with linear regression and R2 as correlation parameters.ResultsThe first-order histogram-based features such as skewness and entropy showed good agreement computed in either software package (ICCs ≥ 0.80), while the kurtosis measurements were consistent in H&N patients between the two software tools but not in pelvic cases. The ICCs for GLCM-based features showed good agreement (ICCs ≥ 0.80) between packages in both H&N and pelvic groups except for the GLCM-correction. The GLRLM-based texture features were overall less consistent as calculated by the two different software packages compared with the GLCM-based features. The CCC values of all first-order and second-order GLCM features (except GLCM-energy) were all above 0.80 from the 2-day part test–retest set, while the CCC values all dropped below the cutoff after 5-day treatment scans. All first-order histogram-based and GLCM-texture-based features were not highly correlated with volume, while two GLRLM features, in both H&N and pelvic cohorts, showed R2 ≥0.8, meaning a high correlation with volume.ConclusionThe reproducibility and repeatability of CBCT-based radiomics features were assessed and compared for the first time on both H&N and pelvic sites. There were overlaps of stable features in both disease sites, yet the overall stability of radiomics features may be disease-/protocol-specific and a function of time between scans.Hao WangHao WangHao WangYongkang ZhouXiao WangYin ZhangChi MaBo LiuQing KongNing YueZhiyong XuKe NieFrontiers Media S.A.articlereproducibilityrepeatabilitylongitudinal CBCT radiomicsimaging protocolin-treatment imageNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENFrontiers in Oncology, Vol 11 (2021)
institution DOAJ
collection DOAJ
language EN
topic reproducibility
repeatability
longitudinal CBCT radiomics
imaging protocol
in-treatment image
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle reproducibility
repeatability
longitudinal CBCT radiomics
imaging protocol
in-treatment image
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Hao Wang
Hao Wang
Hao Wang
Yongkang Zhou
Xiao Wang
Yin Zhang
Chi Ma
Bo Liu
Qing Kong
Ning Yue
Zhiyong Xu
Ke Nie
Reproducibility and Repeatability of CBCT-Derived Radiomics Features
description PurposeThis study was conducted in order to determine the reproducibility and repeatability of cone-beam computed tomography (CBCT) radiomics features.MethodsThe first-, second-, and fifth-day CBCT images from 10 head and neck (H&N) cancer patients and 10 pelvic cancer patients were retrospectively collected for this study. Eighteen common radiomics features were extracted from the longitudinal CBCT images using two radiomics packages. The reproducibility of CBCT-derived radiomics features was assessed using the first-day image as input and compared across the two software packages. The site-specific intraclass correlation coefficient (ICC) was used to quantitatively assess the agreement between packages. The repeatability of CBCT-based radiomics features was evaluated by comparing the following days of CBCT to the first-day image and quantified using site-specific concordance correlation coefficient (CCC). Furthermore, the correlation with volume for all the features was assessed with linear regression and R2 as correlation parameters.ResultsThe first-order histogram-based features such as skewness and entropy showed good agreement computed in either software package (ICCs ≥ 0.80), while the kurtosis measurements were consistent in H&N patients between the two software tools but not in pelvic cases. The ICCs for GLCM-based features showed good agreement (ICCs ≥ 0.80) between packages in both H&N and pelvic groups except for the GLCM-correction. The GLRLM-based texture features were overall less consistent as calculated by the two different software packages compared with the GLCM-based features. The CCC values of all first-order and second-order GLCM features (except GLCM-energy) were all above 0.80 from the 2-day part test–retest set, while the CCC values all dropped below the cutoff after 5-day treatment scans. All first-order histogram-based and GLCM-texture-based features were not highly correlated with volume, while two GLRLM features, in both H&N and pelvic cohorts, showed R2 ≥0.8, meaning a high correlation with volume.ConclusionThe reproducibility and repeatability of CBCT-based radiomics features were assessed and compared for the first time on both H&N and pelvic sites. There were overlaps of stable features in both disease sites, yet the overall stability of radiomics features may be disease-/protocol-specific and a function of time between scans.
format article
author Hao Wang
Hao Wang
Hao Wang
Yongkang Zhou
Xiao Wang
Yin Zhang
Chi Ma
Bo Liu
Qing Kong
Ning Yue
Zhiyong Xu
Ke Nie
author_facet Hao Wang
Hao Wang
Hao Wang
Yongkang Zhou
Xiao Wang
Yin Zhang
Chi Ma
Bo Liu
Qing Kong
Ning Yue
Zhiyong Xu
Ke Nie
author_sort Hao Wang
title Reproducibility and Repeatability of CBCT-Derived Radiomics Features
title_short Reproducibility and Repeatability of CBCT-Derived Radiomics Features
title_full Reproducibility and Repeatability of CBCT-Derived Radiomics Features
title_fullStr Reproducibility and Repeatability of CBCT-Derived Radiomics Features
title_full_unstemmed Reproducibility and Repeatability of CBCT-Derived Radiomics Features
title_sort reproducibility and repeatability of cbct-derived radiomics features
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/4be81853d2ae4a3d8f2c5651aec86983
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