Variability in radiomics features among iDose4 reconstruction levels

Joseph J. Foy; Mena Shenouda; Sahar Ramahi; Samuel G. Armato; Daniel Ginat

doi:10.1117/12.2512634

13 March 2019 Variability in radiomics features among iDose⁴ reconstruction levels

Joseph J. Foy, Mena Shenouda, Sahar Ramahi, Samuel G. Armato, Daniel Ginat

Proceedings Volume 10950, Medical Imaging 2019: Computer-Aided Diagnosis; 109501M (2019) https://doi.org/10.1117/12.2512634
Event: SPIE Medical Imaging, 2019, San Diego, California, United States

Abstract

The assessment of tissues depicted in medical images using radiomics has been shown to depend on a number of imageacquisition and reconstruction parameters. This study assessed the variability in radiomics features due to variations in iDose⁴ reconstruction level. A database of 109 normal head and neck (HN) computed tomography (CT) scans was obtained for analysis with three levels of iDose⁴ reconstruction: 2, 4, and 6. Various two-dimensional regions of interest (ROIs) containing different tissues were manually contoured including the globes, sternocleidomastoid muscle (SCM), thyroid, clivus, and supraclavicular subcutaneous fat. A square ROI containing only air was also contoured. Each region was contoured at its largest axial cross section by area. Pixel information was extracted from each region in each patient for each iDose⁴ reconstruction, and 142 texture features were calculated using an in-house texture package. Differences in radiomics features between iDose⁴ levels were assessed using parametric paired Student’s t-tests or non-parametric Wilcoxon signed-rank tests for each tissue type after assessing normality using the Shapiro-Wilk test. Relative agreement among iDose⁴ reconstructions was quantified using the Spearman’s rank correlation coefficient. For all ROIs besides those containing only air, most features differed significantly between pairwise combinations of the three iDose⁴ levels. For air, all features were robust to differences in iDose⁴ levels. Therefore, if radiomics studies include images reconstructed using different iDose⁴ levels, robust radiomics features should be used. Additionally, to aid in the validation of radiomics research, iDose⁴ reconstruction levels should be reported.

Conference Presentation

Citation Download Citation

Joseph J. Foy, Mena Shenouda, Sahar Ramahi, Samuel G. Armato, and Daniel Ginat "Variability in radiomics features among iDose⁴ reconstruction levels", Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, 109501M (13 March 2019); https://doi.org/10.1117/12.2512634

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