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Tomography. 2021 Dec 03;7(4):866-876. doi: 10.3390/tomography7040073.

Stability of Liver Radiomics across Different 3D ROI Sizes-An MRI In Vivo Study.

Tomography (Ann Arbor, Mich.)

Laura J Jensen, Damon Kim, Thomas Elgeti, Ingo G Steffen, Bernd Hamm, Sebastian N Nagel

Affiliations

  1. Department of Radiology, Corporate Member of Freie Universität and Humboldt-Universität zu Berlin, Charité-Universitätsmedizin Berlin, Hindenburgdamm 30, 12203 Berlin, Germany.
  2. Department of Radiology-Pediatric Radiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Augustenburger Platz 1, 13353 Berlin, Germany.

PMID: 34941645 PMCID: PMC8706942 DOI: 10.3390/tomography7040073

Abstract

We aimed to evaluate the stability of radiomic features in the liver of healthy individuals across different three-dimensional regions of interest (3D ROI) sizes in T1-weighted (T1w) and T2-weighted (T2w) images from different MR scanners. We retrospectively included 66 examinations of patients without known diseases or pathological imaging findings acquired on three MRI scanners (3 Tesla I: 25 patients, 3 Tesla II: 19 patients, 1.5 Tesla: 22 patients). 3D ROIs of different diameters (10, 20, 30 mm) were drawn on T1w GRE and T2w TSE images into the liver parenchyma (segment V-VIII). We extracted 93 radiomic features from the different ROIs and tested features for significant differences with the Mann-Whitney-U (MWU)-test. The MWU-test revealed significant differences for most second- and higher-order features, indicating a systematic difference dependent on the ROI size. The features mean, median, root mean squared (RMS), 10th percentile, and 90th percentile were not significantly different. We also assessed feature robustness to ROI size variation with overall concordance correlation coefficients (OCCCs). OCCCs across the different ROI-sizes for mean, median, and RMS were excellent (>0.90) in both sequences on all three scanners. These features, therefore, seem robust to ROI-size variation and suitable for radiomic studies of liver MRI.

Keywords: liver; magnetic resonance imaging; radiomics; reproducibility; robustness; texture analysis

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