Computed tomography-based multi-organ radiomics nomogram model for predicting the risk of esophagogastric variceal bleeding in cirrhosis

Figure 1 Flowchart of inclusion and exclusion criteria. CT: Computed tomography; EVB: Esophageal variceal bleeding.

Figure 2 Radiomics workflow. ROI: Region-of-interest.

Figure 3 The process of feature selection and dimensionality reduction through least absolute shrinkage and selection operator. A-C: Least absolute shrinkage and selection operator regression model cross-verifies the selection process of the penalty parameter Lambda, and selects the radiomic features with non-zero coefficients according to the principle of minimum deviation; D-F: Convergence diagram of radiomic feature coefficients.

Figure 4 Nomogram for the radiomics-clinical model. Radiomics, Rad-score (liver + spleen + esophagus). AS: Ascites; PVT: Portal vein thrombosis; PT: Prothrombin time.

Figure 5 Model construction and evaluation. A: The receiver operating characteristic curves of each model in training (left) and validation (right) cohorts; B: The calibration curve of the radiomics-clinical model in training (left) and validation (right) cohorts; C: The decision curves of each model in training (left) and validation (right) cohorts.