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. 2019 Mar 5;20(11):1250–1258. doi: 10.1093/ehjci/jez033

Figure 3.

Figure 3

Diagnostic evaluation of radiomics and conventional CT parameters to identify attenuated plaques on IVUS. (A) Average receiver operating characteristic curves of the best radiomic (pink): fractal box counting dimension of high attenuation voxels (component 30 when discretizing to 32 equally sized bins); and the best conventional (blue) parameter: non-calcified plaque volume, which were calculated by averaging the receiver operating characteristic curves after 1000 repeats of the five-fold cross-validation process. (B) Distribution of the AUC values calculated during the five-fold cross-validation process repeated 1000 times. Dashed lines indicate the means of the AUC distributions. Results are based on the analysis of 44 plaques of 25 patients. (C) Manhattan-plot of radiomic features’ AUC values. Radiomic parameters are situated in consecutive order on the x axis, while their corresponding AUC values to identify attenuated plaques on IVUS are shown on the y axis. AUC, area under the curve; GLCM, grey level co-occurrence matrix; GLRLM, grey level run length matrix.