Figure 1.

(a) Selection of the tuning parameter lambda (λ) using 10-fold cross validation. Binomial deviances from the least absolute shrinkage and selection operator (LASSO) regression cross-validation model were plotted as a function of log (λ). The dotted vertical lines were drawn at the optimal λ value based on the minimum criteria and 1 standard error of the minimum criteria. The optimal λ value of 0.028 and log (λ) = −3.57 was selected. (b). LASSO coefficient profiles of the 12 radiomics features. The vertical dotted line was plotted at the optimal λ value, resulting in seven radiomics feature with non-zero coefficients.