The Application Value of IVIM Combined with DKI Imaging Technology in Liver Fibrosis Staging
Objective To investigate the application value of intravoxel incoherent motion(IVIM)combined with diffusion kurtosis imaging(DKI)in liver fibrosis staging.Methods A total of 80 patients with liver fibrosis(29 cases of stage F1,27 cases of stage F2 and 24 cases of stage F3-4)from October 2021 to June 2023 are included in the observation group,and 50 healthy physical examination patients during the same period were included in the control group.Liver MRI was performed to obtain IVIM and DKI parameters.The parameters between the observation group and the control group,as well as among different liver fibrosis stages within the observation group,were compared.The correlation between various parameters and liver fibrosis staging was analyzed.Independent related factors for liver fibrosis staging＞F2 phase were explored,and a prediction model was constructed.The predictive value of the model was evaluated using the receiver operating characteristic(ROC)curve.ResultsThe IVIM parameters ADC,D,D*,f,and DKI parameter MD in the observation group were all lower than those in the control group(P＜0.05),while the DKI parameters MK and K were higher than those in the control group(P＜0.05).For F3-4 stage patients,the IVIM parameters ADC,D,D*,f,and DKI parameter MD were lower than those of F1 and F2 stage patients(P＜0.05),whereas the DKI parameters MK and K were higher(P＜0.05).Spearman correlation analysis indicated a negative correlation between liver fibrosis staging and ADC,D,D*,f,and MD values(P＜0.05),and a positive correlation with MK and K values(P＜0.05).Logistic regression analysis revealed that ADC,D,D*,f,and MD values were independent factors for liver fibrosis staging＞F2 phase(P＜0.05).The constructed predictive model for liver fibrosis staging＞F2 phase was:Y=-4.512-2.819 X1-2.412 X2-1.763 X3-1.338 X4-1.582 X5.The ROC curve indicated that the area under the curve for the model in predicting liver fibrosis staging＞F2 phase was 0.926(95％CI=0.881-0.970,P＜0.001).The optimal cutoff value corresponded to a sensitivity of 89.20％,specificity of 87.80％,and Youden's index of 0.770.The goodness of fit test showed x 2=8.205,P=0.084,and an adjusted R2 of 0.823.Conclusion IVIM and DKI possess certain application value in liver fibrosis staging.The combined predictive model using IVIM and DKI parameters offers high predictive accuracy for patients with liver fibrosis staging＞F2 phase.
Functional Magnetic Resonance ImagingLiver Fibrosis StagingIntravoxel Incoherent MotionDiffusion Kurtosis Imaging
NETL
NSTL
万方数据
维普
