Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer

Figure 3 Texture feature selection using the least absolute shrinkage and selection operator binary logistic regression model. A: Tuning parameter λ selection in the least absolute shrinkage and selection operator model used 10-fold cross-validation via minimum criteria. Area under the receiver operating characteristic curve was plotted versus the log λ. Dotted vertical lines were drawn at the optimal values using the minimum criteria. A λ value of -5.47, with log λ, according to 10-fold cross-validation; B: Least absolute shrinkage and selection operator coefficient profiles of the 20 top ranked texture features. A coefficient profile plot was produced against the log λ sequence. A vertical line was drawn at the value selected using 10-fold cross-validation, where optimal λ resulted in 13 nonzero coefficients.