Figure 2.

Key steps in a radiomics workflow for AF patients. First, ROIs containing LA are delineated on apical 4CV and 2CV images, respectively, to extract seven types of radiomics features. After normalization, the key radiomics features associated with AF recurrence are identified by a three-step feature selection method (interclass correlation coefficient test, Student's t-test, and LASSO logistic regression). Finally, they are integrated into the rad score using linear regression. AF, atrial fibrillation; ROI, region of interest; LA, left atrium; 4CV, four-chamber view; 2CV, two-chamber view; LASSO, least absolute shrinkage and selection operator; Rad score, radiomics score.