Evaluation value of ultrasonic shear wave elastic imaging, MRI combined with ADC value in liver fibrosis degree of nonalcoholic fatty liver

To investigate the value of ultrasonic shear wave elastography (SWE), magnetic resonance imaging (MRI) and apparent diffusion coefficient (ADC) in evaluating the degree of liver fibrosis in nonalcoholic fatty liver disease (NAFLD). 150 patients with NAFLD were selected as the observation group, another 150 healthy subjects were selected as the control group. According to METAVIR score, the degree of liver fibrosis was divided into F0 stage, F1 stage, F2 stage, F3 stage and F4 stage. SWE, MRI and ADC values were detected in all subjects. Spearman correlation coefficient was used to analyze the correlation between each parameter and the stage of liver fibrosis. The results of liver puncture pathology were the gold standard. Young's modulus and MRI-PDFF (Proton density fat fraction) in observation group were higher than those in control group, ADC was lower than those in control group ( P < 0.05). Young's modulus and MRI-PDFF in F4 group were higher than those in F3, F2, F1 and F0 groups ( P < 0.05), and ADC in F4 group was lower than that in F3, F2, F1 and F0 groups ( P < 0.05), and the differences among all groups were statistically significant ( P < 0.05). Young's modulus and MRI-PDFF were positively correlated with the degree of NAFLD liver fibrosis, while ADC was negatively correlated ( r = 0.662, 0.542, −0.571, P < 0.05). The AUC value of Young's modulus, MRI-PDFF and ADC values in the evaluation of the degree of NAFLD liver fibrosis was higher than that of single detection ( Z = 3.283, 3.276, 4.038, P < 0.05). The calibration curve and receiver operating characteristic curve ( ROC ) showed that the model had better predictive value, and the plotted decision curve (DCA) also showed obvious positive net benefit. The combined determination of SWE, MRI and ADC has higher value in evaluating the degree of liver fibrosis in NAFLD. The nomogram model established by this method has good predictive value.