Predicting hepatocellular carcinoma: A new non-invasive model based on shear wave elastography

Figure 1 2D shear wave elastography was used to assess localized liver lesions in this study. A: Demonstrates tumors displayed in the green mass mode, indicating that 2D shear wave elastography’s accuracy meets the standard. For tumors displayed in speed mode, its velocity scale was configured within the range of 0.5 to 4.0 m/s; B: Shows two round areas of interest (ROIs) placed at the hardest part of the tumor and around the tumor, each with a diameter of 3 mm; C: The maximum elasticity of these ROIs, denoted as maximal elasticity, was recorded; D: Illustrates intracapsular vascular tumor emboli, highlighted in the image (HE × 100).

Figure 2 The flowchart depicted herein presents the patient enrollment process in the study. ROC: Receiver operating characteristic.

Figure 3 The graphs in this figure display receiver operating characteristic curves, which indicate the accuracy of different predictive parameters in predicting hepatic malignant tumors in the experimental cohort. PLT: Platelet count.

Figure 4 This figure demonstrates the process of generating and evaluating the nomogram. A: Presents the nomogram used for predicting malignant tumors; B and C: Depict the calibration curve, providing estimates of malignant tumors using the nomogram in the development and confirmation cohorts, respectively.

Figure 5 Plots show the distribution of maximal elasticity and mean elasticity within tumors, as well as the maximal elasticity and mean elasticity in the peripheral regions of tumors, along with the mean elasticity count in patients with and without antiviral treatment. PLT: Platelet count; Emax: Maximal elasticity; Emean: Mean elasticity. ^aP < 0.05, ^b0.05 < P < 0.001, ^cP < 0.001.