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Fukai S, Daisaki H, Ishiyama M, Shimada N, Umeda T, Motegi K, Ito R, Terauchi T. Reproducibility of the principal component analysis (PCA)-based data-driven respiratory gating on texture features in non-small cell lung cancer patients with 18 F-FDG PET/CT. J Appl Clin Med Phys 2023; 24:e13967. [PMID: 36943700 PMCID: PMC10161026 DOI: 10.1002/acm2.13967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 02/15/2023] [Accepted: 03/01/2023] [Indexed: 03/23/2023] Open
Abstract
OBJECTIVE Texture analysis is one of the lung cancer countermeasures in the field of radiomics. Even though image quality affects texture features, the reproducibility of principal component analysis (PCA)-based data-driven respiratory gating (DDG) on texture features remains poorly understood. Hence, this study aimed to clarify the reproducibility of PCA-based DDG on texture features in non-small cell lung cancer (NSCLC) patients with 18 F-Fluorodeoxyglucose (18 F-FDG) Positron emission tomography/computed tomography (PET/CT). METHODS Twenty patients with NSCLC who underwent 18 F-FDG PET/CT in routine clinical practice were retrospectively analyzed. Each patient's PET data were reconstructed in two PET groups of no gating (NG-PET) and PCA-based DDG gating (DDG-PET). Forty-six image features were analyzed using LIFEx software. Reproducibility was evaluated using Lin's concordance correlation coefficient ( ρ c ${\rho _c}$ ) and percentage difference (%Diff). Non-reproducibility was defined as having unacceptable strength ( ρ c $({\rho _c}$ < 0.8) and a %Diff of >10%. NG-PET and DDG-PET were compared using the Wilcoxon signed-rank test. RESULTS A total of 3/46 (6.5%) image features had unacceptable strength, and 9/46 (19.6%) image features had a %Diff of >10%. Significant differences between the NG-PET and DDG-PET groups were confirmed in only 4/46 (8.7%) of the high %Diff image features. CONCLUSION Although the DDG application affected several texture features, most image features had adequate reproducibility. PCA-based DDG-PET can be routinely used as interchangeable images for texture feature extraction from NSCLC patients.
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Affiliation(s)
- Shohei Fukai
- Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan
- Graduate School of Radiological Technology, Gunma Prefectural College of Health Sciences, Gunma, Japan
| | - Hiromitsu Daisaki
- Graduate School of Radiological Technology, Gunma Prefectural College of Health Sciences, Gunma, Japan
- Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Mitsutomi Ishiyama
- Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Naoki Shimada
- Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Takuro Umeda
- Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Kazuki Motegi
- Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Ryoma Ito
- Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Takashi Terauchi
- Department of Nuclear Medicine, The Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan
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Faist D, Jreige M, Oreiller V, Nicod Lalonde M, Schaefer N, Depeursinge A, Prior JO. Reproducibility of lung cancer radiomics features extracted from data-driven respiratory gating and free-breathing flow imaging in [ 18F]-FDG PET/CT. Eur J Hybrid Imaging 2022; 6:33. [PMID: 36309636 PMCID: PMC9617997 DOI: 10.1186/s41824-022-00153-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 10/14/2022] [Indexed: 11/13/2022] Open
Abstract
Background Quality and reproducibility of radiomics studies are essential requirements for the standardisation of radiomics models. As recent data-driven respiratory gating (DDG) [18F]-FDG has shown superior diagnostic performance in lung cancer, we evaluated the impact of DDG on the reproducibility of radiomics features derived from [18F]-FDG PET/CT in comparison to free-breathing flow (FB) imaging.
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 (Cb) 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 Cb < 0.8 and/or a mean difference percentage DIFF% > 10.
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).
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. Supplementary Information The online version contains supplementary material available at 10.1186/s41824-022-00153-2.
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Affiliation(s)
- Daphné Faist
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland
| | - Mario Jreige
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland
| | - Valentin Oreiller
- Institute of Information Systems, University of Applied Sciences Western Switzerland, (HES-SO), Rue du Technopôle 3, CH-3960, Sierre, Switzerland
| | - Marie Nicod Lalonde
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland.,Faculty of Biology and Medicine, University of Lausanne, Rue du Bugnon 21, CH-1011, Lausanne, Switzerland
| | - Niklaus Schaefer
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland.,Faculty of Biology and Medicine, University of Lausanne, Rue du Bugnon 21, CH-1011, Lausanne, Switzerland
| | - Adrien Depeursinge
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland.,Institute of Information Systems, University of Applied Sciences Western Switzerland, (HES-SO), Rue du Technopôle 3, CH-3960, Sierre, Switzerland
| | - John O Prior
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, CH-1011, Lausanne, Switzerland. .,Faculty of Biology and Medicine, University of Lausanne, Rue du Bugnon 21, CH-1011, Lausanne, Switzerland.
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