TY  - JOUR
A1  - Bernatz, Simon
A1  - Zhdanovich, Yauheniya
A1  - Ackermann, Jörg
A1  - Koch, Ina
A1  - Wild, Peter Johannes
A1  - Pinto dos Santos, Daniel
A1  - Vogl, Thomas J.
A1  - Kaltenbach, Benjamin
A1  - Rosbach, Nicolas
T1  - Impact of rescanning and repositioning on radiomic features employing a multi-object phantom in magnetic resonance imaging
T2  - Scientific reports
N2  - Our purpose was to analyze the robustness and reproducibility of magnetic resonance imaging (MRI) radiomic features. We constructed a multi-object fruit phantom to perform MRI acquisition as scan-rescan using a 3 Tesla MRI scanner. We applied T2-weighted (T2w) half-Fourier acquisition single-shot turbo spin-echo (HASTE), T2w turbo spin-echo (TSE), T2w fluid-attenuated inversion recovery (FLAIR), T2 map and T1-weighted (T1w) TSE. Images were resampled to isotropic voxels. Fruits were segmented. The workflow was repeated by a second reader and the first reader after a pause of one month. We applied PyRadiomics to extract 107 radiomic features per fruit and sequence from seven feature classes. We calculated concordance correlation coefficients (CCC) and dynamic range (DR) to obtain measurements of feature robustness. Intraclass correlation coefficient (ICC) was calculated to assess intra- and inter-observer reproducibility. We calculated Gini scores to test the pairwise discriminative power specific for the features and MRI sequences. We depict Bland Altmann plots of features with top discriminative power (Mann–Whitney U test). Shape features were the most robust feature class. T2 map was the most robust imaging technique (robust features (rf), n = 84). HASTE sequence led to the least amount of rf (n = 20). Intra-observer ICC was excellent (≥ 0.75) for nearly all features (max–min; 99.1–97.2%). Deterioration of ICC values was seen in the inter-observer analyses (max–min; 88.7–81.1%). Complete robustness across all sequences was found for 8 features. Shape features and T2 map yielded the highest pairwise discriminative performance. Radiomics validity depends on the MRI sequence and feature class. T2 map seems to be the most promising imaging technique with the highest feature robustness, high intra-/inter-observer reproducibility and most promising discriminative power.
KW  - Diagnostic markers
KW  - Preclinical research
KW  - Predictive markers
KW  - Prognostic markers
KW  - Translational research
Y1  - 2021
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/63571
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-635715
SN  - 2045-2322
N1  - Open Access funding enabled and organized by Projekt DEAL. This work was supported in part by the LOEWE Center Frankfurt Cancer Institute (FCI) funded by the Hessen State Ministry for Higher Education, Research and the Arts [III L 5 - 519/03/03.001 - (0015)].
VL  - 11
IS  - art. 14248
SP  - 1
EP  - 13
PB  - Macmillan Publishers Limited
CY  - [London]
ER  -