Abstract
The goal was to explore the value of using radiomics analysis based on multimodal MRI for evaluating the advanced fibrosis in patients with hepatitis B. One hundred and forty-three patients with hepatitis B fibrosis were randomly divided into training and validation cohorts in a 2:1 ratio. In the training cohort, a clinical model was established with logistic regression, a radiomics signature based on multimodal MRI was established with support vector machine (SVM), and a nomogram integrated the radiomics signature and clinical factors. The value of three models was assessed by ROC analysis in the training and validation cohorts. The nomogram demonstrated the largest area under the ROC curve. The nomogram presented good agreement in the prediction probability of advanced liver fibrosis in two cohorts. Radiomics analysis has good diagnostic value for advanced liver fibrosis and the nomogram can enhance the diagnostic value.
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