Computed tomography enterography-based radiomics for assessing mucosal healing in patients with small bowel Crohn's disease

Figure 1 Flowchart of this study. MH: Mucosal healing; SBCD: Small bowel in Crohn's disease; CTE: Computed tomography enterography; DBE: Double-balloon endoscopy.

Figure 2 Workflow of the radiomic analysis in this study. AUC: Area under the receiver operator characteristics curve; DCA: Decision curve analyses; LASSO: Least absolute shrinkage and selection operator; MSE: Mean standard error; ROI: Region of interest.

Figure 3 Radiomic feature selection via the least absolute shrinkage and selection operator regression model. A: The proportional distribution of radiomic features; B: least absolute shrinkage and selection operator coefficient profiles; C: Mean standard error of 10-fold validation; D: Histogram of the coefficients of the selected radiomic features. MSE: Mean standard error.

Figure 4 Receiver operating characteristic curves of the radiomic signature based on different machine learning models. A: Receiver operating characteristic (ROC) curves in the training cohort; B: ROC curves in the test cohort. AUC: Area under the receiver operating characteristic curve; LR; Logistic regression; SVM: Support vector machine; ExtraTrees: Extremely randomized trees; XGBoost: Extreme gradient boosting; LightGBM: Light gradient boosting machine; 95%CI: 95% confidence interval.

Figure 5 Radiomic-clinical nomogram for assessing mucosal healing in small bowel in Crohn's disease patients. Clinic_Sig: Clinical signature; Rad_Sig: Radiomic signature.

Figure 6 Calibration curves and receiver operating characteristic curves for the training and test cohorts. A and B: Calibration curves in the training (A) and test (B) cohorts; C and D: Receiver operating characteristic curves in the training (C) and test (D) cohorts. AUC: Area under the receiver operating characteristic curve; 95%CI: 95% confidence interval.

Figure 7 Decision curve analyses of the clinical, radiomic, and nomogram models in the test cohort. DCA: Decision curve analysis.