Application value of bimodal radiomics based on two-dimensional ultrasound and real-time tissue elastography in the diagnosis of hyperuricemia patients complicated with gouty arthritis
Objective To investigate the application value of bimodal radiomics based on two-dimensional ultrasound and real-time tissue elastography(RTE)in the diagnosis of hyperuricemia(HUA)patients complicated with gouty arthritis(GA).Methods Fifty-nine patients with HUA treated in our hospital were selected,including 41 patients complicated with GA and 18 patients without GA.LASSO regression 5-fold cross-validation method was used to screen the imaging features of two-dimensional ultrasound,RTE and clinical features,and the optimal feature subset of image omics was obtained.Support vector machine(SVM)was used for GA and non-GA binary classification diagnosis,and receiver operating characteristic(ROC)curve was drawn to evaluate the diagnostic efficiency of Adaboost fusion SVM classifier for HUA complicated with GA.Results Totally 14 non-zero coefficient features were selected based on two-dimensional ultrasonic images,18 non-zero coefficient features were selected based on RTE images,and 16 non-zero coefficient features were selected by series fusion of two types of features.The optimal most ACC and F1 values were 74.17%±3.72%and 74.56%±5.22%,respectively,which were increased by 3.88%and 3.26%compared with the most ACC and F1 values by two-dimensional ultrasound alone,and by 6.61%and 8.08%compared with RTE alone.The optimal most ACC and F1 values of the Adaboost algorithm combined with SVM classifier were 76.24%±2.50%and 75.73%±3.22%,respectively,which were increased by 2.07%and 1.17%compared with SVM primary classification model.ROC curve analysis showed that the area under the curve of class 0 and class 1 as positive samples were 0.718 and 0.910,respectively.Conclusion The bimodal radiomics features based on two-dimensional ultrasound and RTE can quantitatively characterize and effectively predict HUA patients complicated with GA,which has potential clinical application value in the early diagnosis of GA.Moreover,the classification effect of the single two-dimensional ultrasound mode is better than that of the single RTE mode,and the classification effect of the dual mode is better than that of the single mode.
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