Repeatability and reproducibility study of radiomic features on a phantom and human cohort

Abstract The repeatability and reproducibility of radiomic features extracted from CT scans need to be investigated to evaluate the temporal stability of imaging features with respect to a controlled scenario (test–retest), as well as their dependence on acquisition parameters such as slice thicknes...

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Autores principales:	A. K. Jha, S. Mithun, V. Jaiswar, U. B. Sherkhane, N. C. Purandare, K. Prabhash, V. Rangarajan, A. Dekker, L. Wee, A. Traverso
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/93d70d8e9282433eaad3026f9d330a3b
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spelling	oai:doaj.org-article:93d70d8e9282433eaad3026f9d330a3b2021-12-02T13:48:42ZRepeatability and reproducibility study of radiomic features on a phantom and human cohort10.1038/s41598-021-81526-82045-2322https://doaj.org/article/93d70d8e9282433eaad3026f9d330a3b2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81526-8https://doaj.org/toc/2045-2322Abstract The repeatability and reproducibility of radiomic features extracted from CT scans need to be investigated to evaluate the temporal stability of imaging features with respect to a controlled scenario (test–retest), as well as their dependence on acquisition parameters such as slice thickness, or tube current. Only robust and stable features should be used in prognostication/prediction models to improve generalizability across multiple institutions. In this study, we investigated the repeatability and reproducibility of radiomic features with respect to three different scanners, variable slice thickness, tube current, and use of intravenous (IV) contrast medium, combining phantom studies and human subjects with non-small cell lung cancer. In all, half of the radiomic features showed good repeatability (ICC > 0.9) independent of scanner model. Within acquisition protocols, changes in slice thickness was associated with poorer reproducibility compared to the use of IV contrast. Broad feature classes exhibit different behaviors, with only few features appearing to be the most stable. 108 features presented both good repeatability and reproducibility in all the experiments, most of them being wavelet and Laplacian of Gaussian features.A. K. JhaS. MithunV. JaiswarU. B. SherkhaneN. C. PurandareK. PrabhashV. RangarajanA. DekkerL. WeeA. TraversoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q A. K. Jha S. Mithun V. Jaiswar U. B. Sherkhane N. C. Purandare K. Prabhash V. Rangarajan A. Dekker L. Wee A. Traverso Repeatability and reproducibility study of radiomic features on a phantom and human cohort
description	Abstract The repeatability and reproducibility of radiomic features extracted from CT scans need to be investigated to evaluate the temporal stability of imaging features with respect to a controlled scenario (test–retest), as well as their dependence on acquisition parameters such as slice thickness, or tube current. Only robust and stable features should be used in prognostication/prediction models to improve generalizability across multiple institutions. In this study, we investigated the repeatability and reproducibility of radiomic features with respect to three different scanners, variable slice thickness, tube current, and use of intravenous (IV) contrast medium, combining phantom studies and human subjects with non-small cell lung cancer. In all, half of the radiomic features showed good repeatability (ICC > 0.9) independent of scanner model. Within acquisition protocols, changes in slice thickness was associated with poorer reproducibility compared to the use of IV contrast. Broad feature classes exhibit different behaviors, with only few features appearing to be the most stable. 108 features presented both good repeatability and reproducibility in all the experiments, most of them being wavelet and Laplacian of Gaussian features.
format	article
author	A. K. Jha S. Mithun V. Jaiswar U. B. Sherkhane N. C. Purandare K. Prabhash V. Rangarajan A. Dekker L. Wee A. Traverso
author_facet	A. K. Jha S. Mithun V. Jaiswar U. B. Sherkhane N. C. Purandare K. Prabhash V. Rangarajan A. Dekker L. Wee A. Traverso
author_sort	A. K. Jha
title	Repeatability and reproducibility study of radiomic features on a phantom and human cohort
title_short	Repeatability and reproducibility study of radiomic features on a phantom and human cohort
title_full	Repeatability and reproducibility study of radiomic features on a phantom and human cohort
title_fullStr	Repeatability and reproducibility study of radiomic features on a phantom and human cohort
title_full_unstemmed	Repeatability and reproducibility study of radiomic features on a phantom and human cohort
title_sort	repeatability and reproducibility study of radiomic features on a phantom and human cohort
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/93d70d8e9282433eaad3026f9d330a3b
work_keys_str_mv	AT akjha repeatabilityandreproducibilitystudyofradiomicfeaturesonaphantomandhumancohort AT smithun repeatabilityandreproducibilitystudyofradiomicfeaturesonaphantomandhumancohort AT vjaiswar repeatabilityandreproducibilitystudyofradiomicfeaturesonaphantomandhumancohort AT ubsherkhane repeatabilityandreproducibilitystudyofradiomicfeaturesonaphantomandhumancohort AT ncpurandare repeatabilityandreproducibilitystudyofradiomicfeaturesonaphantomandhumancohort AT kprabhash repeatabilityandreproducibilitystudyofradiomicfeaturesonaphantomandhumancohort AT vrangarajan repeatabilityandreproducibilitystudyofradiomicfeaturesonaphantomandhumancohort AT adekker repeatabilityandreproducibilitystudyofradiomicfeaturesonaphantomandhumancohort AT lwee repeatabilityandreproducibilitystudyofradiomicfeaturesonaphantomandhumancohort AT atraverso repeatabilityandreproducibilitystudyofradiomicfeaturesonaphantomandhumancohort
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Repeatability and reproducibility study of radiomic features on a phantom and human cohort

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