Differentiation of Pelvic Osteosarcoma and Ewing Sarcoma Using Radiomic Analysis Based on T2-Weighted Images and Contrast-Enhanced T1-Weighted Images

Figure 2

Radiomic features derived from T2-FS selected by using the least absolute shrinkage and selection operator (LASSO) binary logistic regression model. (a) Selection of the tuning parameter () in the LASSO model via tenfold cross-validation based on minimum criteria. The lower -axis indicates the log(), the upper -axis indicates the number of features, and the -axis indicates binomial deviances. Dotted vertical lines indicate the deviance values for each model with a given . The vertical black dotted lines define the optimal values of . A value of 0.07, with log(), -0.11 is chosen. (b) LASSO coefficient profiles of the 385 texture features. The nine selected features with nonzero coefficients are indicated in the plot.

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