Literature DB >> 32891727

Variability of computed tomography radiomics features of fibrosing interstitial lung disease: A test-retest study.

Florian Prayer1, Johannes Hofmanninger2, Michael Weber1, Daria Kifjak1, Alexander Willenpart1, Jeanny Pan2, Sebastian Röhrich1, Georg Langs3, Helmut Prosch1.   

Abstract

OBJECTIVES: To investigate the intra- and inter-scanner repeatability and reproducibility of CT radiomics features (RF) of fibrosing interstitial lung disease (fILD).
METHODS: For this prospective, IRB-approved test-retest study, CT data of sixty fILD patients were acquired. Group A (n = 30) underwent one repeated CT scan on a single scanner. Group B (n = 30) was scanned using two different CT scanners. All CT data were reconstructed using different reconstruction kernels (soft, intermediate, sharp) and slice thicknesses (one and three millimeters), resulting in twelve datasets per patient. Following ROI placement in fibrotic lung tissue, 86 RF were extracted. Intra- and inter-scanner RF repeatability and reproducibility were assessed by calculating intraclass correlation coefficients (ICCs) for corresponding kernels and slice thicknesses, and between lung-specific and non-lung-specific reconstruction parameters. Furthermore, test-retest lung volumes were compared.
RESULTS: Test-retest demonstrated a majority of RF is highly repeatable for all reconstruction parameter combinations. Intra-scanner reproducibility was negatively affected by reconstruction kernel changes, and further reduced by slice thickness alterations. Inter-scanner reproducibility was highly variable, reconstruction parameter-specific, and greatest if either soft kernels and three-millimeter slice thickness, or lung-specific reconstruction parameters were used for both scans. Test-retest lung volumes showed no significant difference.
CONCLUSION: CT RF of fILD are highly repeatable for constant reconstruction parameters in a single scanner. Intra- and inter-scanner reproducibility are severely impacted by alterations in slice thickness more than reconstruction kernel, and are reconstruction parameter-specific. These findings may facilitate CT data and RF selection and assessment in future fILD radiomics studies collecting data across scanners.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adult; Computed tomography; Interstitial lung disease; Lung fibrosis; Radiomics; Reproducibility of results

Year:  2020        PMID: 32891727     DOI: 10.1016/j.ymeth.2020.08.007

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  5 in total

1.  CT Reconstruction Kernels and the Effect of Pre- and Post-Processing on the Reproducibility of Handcrafted Radiomic Features.

Authors:  Turkey Refaee; Zohaib Salahuddin; Yousif Widaatalla; Sergey Primakov; Henry C Woodruff; Roland Hustinx; Felix M Mottaghy; Abdalla Ibrahim; Philippe Lambin
Journal:  J Pers Med       Date:  2022-03-31

2.  The application of a workflow integrating the variable reproducibility and harmonizability of radiomic features on a phantom dataset.

Authors:  Abdalla Ibrahim; Turkey Refaee; Ralph T H Leijenaar; Sergey Primakov; Roland Hustinx; Felix M Mottaghy; Henry C Woodruff; Andrew D A Maidment; Philippe Lambin
Journal:  PLoS One       Date:  2021-05-07       Impact factor: 3.240

3.  Repeatability and Reproducibility of Computed Tomography Radiomics for Pulmonary Nodules: A Multicenter Phantom Study.

Authors:  Xueqing Peng; Shuyi Yang; Lingxiao Zhou; Yu Mei; Lili Shi; Rengyin Zhang; Fei Shan; Lei Liu
Journal:  Invest Radiol       Date:  2022-04-01       Impact factor: 10.065

4.  Assessing radiomics feature stability with simulated CT acquisitions.

Authors:  Kyriakos Flouris; Oscar Jimenez-Del-Toro; Christoph Aberle; Michael Bach; Roger Schaer; Markus M Obmann; Bram Stieltjes; Henning Müller; Adrien Depeursinge; Ender Konukoglu
Journal:  Sci Rep       Date:  2022-03-18       Impact factor: 4.379

Review 5.  The Potential and Emerging Role of Quantitative Imaging Biomarkers for Cancer Characterization.

Authors:  Hishan Tharmaseelan; Alexander Hertel; Shereen Rennebaum; Dominik Nörenberg; Verena Haselmann; Stefan O Schoenberg; Matthias F Froelich
Journal:  Cancers (Basel)       Date:  2022-07-09       Impact factor: 6.575

  5 in total

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