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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.
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Details
1 Tata Memoria Hospital, Department of Nuclear Medicine and Molecular Imaging, Mumbai, India; Deemed University, Homi Bhabha National Institute (HBNI), Mumbai, India (GRID:grid.450257.1) (ISNI:0000 0004 1775 9822); Maastricht University Medical Centre+, Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht, The Netherlands (GRID:grid.412966.e) (ISNI:0000 0004 0480 1382)
2 Tata Memoria Hospital, Department of Nuclear Medicine and Molecular Imaging, Mumbai, India (GRID:grid.412966.e); Deemed University, Homi Bhabha National Institute (HBNI), Mumbai, India (GRID:grid.450257.1) (ISNI:0000 0004 1775 9822); Maastricht University Medical Centre+, Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht, The Netherlands (GRID:grid.412966.e) (ISNI:0000 0004 0480 1382)
3 Tata Memoria Hospital, Department of Nuclear Medicine and Molecular Imaging, Mumbai, India (GRID:grid.412966.e)
4 Tata Memoria Hospital, Department of Nuclear Medicine and Molecular Imaging, Mumbai, India (GRID:grid.412966.e); Maastricht University Medical Centre+, Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht, The Netherlands (GRID:grid.412966.e) (ISNI:0000 0004 0480 1382)
5 Tata Memoria Hospital, Department of Nuclear Medicine and Molecular Imaging, Mumbai, India (GRID:grid.412966.e); Deemed University, Homi Bhabha National Institute (HBNI), Mumbai, India (GRID:grid.450257.1) (ISNI:0000 0004 1775 9822)
6 Tata Memoria Hospital, Department of Medical Oncology, Mumbai, India (GRID:grid.450257.1); Deemed University, Homi Bhabha National Institute (HBNI), Mumbai, India (GRID:grid.450257.1) (ISNI:0000 0004 1775 9822)
7 Tata Memoria Hospital, Department of Nuclear Medicine and Molecular Imaging, Mumbai, India (GRID:grid.450257.1); Deemed University, Homi Bhabha National Institute (HBNI), Mumbai, India (GRID:grid.450257.1) (ISNI:0000 0004 1775 9822)
8 Maastricht University Medical Centre+, Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht, The Netherlands (GRID:grid.412966.e) (ISNI:0000 0004 0480 1382)