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Reproducibility of lung cancer radiomics features extracted from data-driven respiratory gating and free-breathing flow imaging in [ 18 F]-FDG PET/CT.
- Source :
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European journal of hybrid imaging [Eur J Hybrid Imaging] 2022 Oct 30; Vol. 6 (1), pp. 33. Date of Electronic Publication: 2022 Oct 30. - Publication Year :
- 2022
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Abstract
- Background: Quality and reproducibility of radiomics studies are essential requirements for the standardisation of radiomics models. As recent data-driven respiratory gating (DDG) [ <superscript>18</superscript> F]-FDG has shown superior diagnostic performance in lung cancer, we evaluated the impact of DDG on the reproducibility of radiomics features derived from [ <superscript>18</superscript> F]-FDG PET/CT in comparison to free-breathing flow (FB) imaging.<br />Methods: Twenty four lung nodules from 20 patients were delineated. Radiomics features were derived on FB flow PET/CT and on the corresponding DDG reconstruction using the QuantImage v2 platform. Lin's concordance factor (C <subscript>b</subscript> ) and the mean difference percentage (DIFF%) were calculated for each radiomics feature using the delineated nodules which were also classified by anatomical localisation and volume. Non-reproducible radiomics features were defined as having a bias correction factor C <subscript>b</subscript> < 0.8 and/or a mean difference percentage DIFF% > 10.<br />Results: In total 141 features were computed on each concordance analysis, 10 of which were non-reproducible on all pulmonary lesions. Those were first-order features from Laplacian of Gaussian (LoG)-filtered images (sigma = 1 mm): Energy, Kurtosis, Minimum, Range, Root Mean Squared, Skewness and Variance; Texture features from Gray Level Cooccurence Matrix (GLCM): Cluster Prominence and Difference Variance; First-order Standardised Uptake Value (SUV) feature: Kurtosis. Pulmonary lesions located in the superior lobes had only stable radiomics features, the ones from the lower parts had 25 non-reproducible radiomics features. Pulmonary lesions with a greater size (defined as long axis length > median) showed a higher reproducibility (9 non-reproducible features) than smaller ones (20 non-reproducible features).<br />Conclusion: Calculated on all pulmonary lesions, 131 out of 141 radiomics features can be used interchangeably between DDG and FB PET/CT acquisitions. Radiomics features derived from pulmonary lesions located inferior to the superior lobes are subject to greater variability as well as pulmonary lesions of smaller size.<br /> (© 2022. The Author(s).)
Details
- Language :
- English
- ISSN :
- 2510-3636
- Volume :
- 6
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- European journal of hybrid imaging
- Publication Type :
- Academic Journal
- Accession number :
- 36309636
- Full Text :
- https://doi.org/10.1186/s41824-022-00153-2