Stability of Liver Radiomics across Different 3D ROI Sizes—An MRI In Vivo Study
Laura J. Jensen,
Damon Kim,
Thomas Elgeti,
Ingo G. Steffen,
Bernd Hamm,
Sebastian N. Nagel
Affiliations
Laura J. Jensen
Department of Radiology, Corporate Member of Freie Universität and Humboldt-Universität zu Berlin, Charité–Universitätsmedizin Berlin, Hindenburgdamm 30, 12203 Berlin, Germany
Damon Kim
Department of Radiology, Corporate Member of Freie Universität and Humboldt-Universität zu Berlin, Charité–Universitätsmedizin Berlin, Hindenburgdamm 30, 12203 Berlin, Germany
Thomas Elgeti
Department of Radiology, Corporate Member of Freie Universität and Humboldt-Universität zu Berlin, Charité–Universitätsmedizin Berlin, Hindenburgdamm 30, 12203 Berlin, Germany
Ingo G. Steffen
Department of Radiology, Corporate Member of Freie Universität and Humboldt-Universität zu Berlin, Charité–Universitätsmedizin Berlin, Hindenburgdamm 30, 12203 Berlin, Germany
Bernd Hamm
Department of Radiology, Corporate Member of Freie Universität and Humboldt-Universität zu Berlin, Charité–Universitätsmedizin Berlin, Hindenburgdamm 30, 12203 Berlin, Germany
Sebastian N. Nagel
Department of Radiology, Corporate Member of Freie Universität and Humboldt-Universität zu Berlin, Charité–Universitätsmedizin Berlin, Hindenburgdamm 30, 12203 Berlin, Germany
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.