Diffusion-weighted magnetic resonance imaging and micro-RNA in the diagnosis of hepatic fibrosis in chronic hepatitis C virus

Figure 1 Regions of interest. Apparent diffusion coefficient map of the liver with locations of the regions of interest within the liver parenchyma.

Figure 2 Receiver operating characteristic curve of patients vs controls. A: The cut-off apparent diffusion coefficient value used for differentiating patients from controls is 1.83 × 10^-3 mm²/s with an area under the curve of 0.992, sensitivity of 98.6%, and accuracy of 97.1%; B: The combination of apparent diffusion coefficient and miR-200b used for differentiating patients from controls shows an area under the curve of 0.995, sensitivity of 100%, and specificity of 96.9%.

Figure 3 Receiver operating characteristic curve of early and late fibrosis. A: The cut-off apparent diffusion coefficient value for differentiating early from late fibrosis is 1.54 × 10^-3 mm²/s with an area under the curve of 0.866, sensitivity of 99.0% and accuracy of 81.7%; B: Combining apparent diffusion coefficient and miR-200b to differentiate early and late fibrosis patients shows an area under the curve of 0.925, sensitivity of 71.7% and accuracy of 80.2%.