Diagnosis of non-alcoholic fatty liver disease based on MRI and US radiomics-clinical combined modeling
DENG Dandan
LI Man
LI Bing
DU Yong
Abstract:Objective To investigate the value of diagnosing non-alcoholic fatty liver disease(NAFLD)based on MRI and US radiomics-clinical combined model.Methods The MRI and US images of 207 patients,including 89 NAFLD patients and 118 non-NAFLD patients from the Affiliated Hospital North of Medical College from March 2021 to September 2023 were retrospectively analyzed and randomly divided into a training set(n=165,71 cases of NAFLD and 94 cases of non-NAFLD)and a test set(n=42,18 cases of NAFLD,24 cases of non-NAFLD).Independent clinical predictors of NAFLD were screened by univariae ad multivariate Logistic regression analysis.Then clinical models were established.Based on the OP-IP sequence in MRI and US images,we extracted and screened the radiomics features and established the radiomics models,which were MRI radiomics model,US radiomics model and MRI-US radiomics combined model.The MRI radiomics-clinical combined model,US radiomics-clinical combined model and MRI-US radiomics-clinical combined model were established by combining the clinical features and radiomics features;the efficacy of each model in the diagnosis of NALFD was evaluated by using the ROC curves of the subjects,and the clinical value of each model was evaluated by using the decision curve analysis.Results AFP,VLDL-C and mental disease were clinically independent predictors of NAFLD.At the same time,clinical model was established.Based on MRI,ninteen radiomics features were screened out,and based on US images,sixteen radiomics features were screened out.Meanwhile,the radiomics features of filtering out were used to establish MRI radiomics model,US radiomics model and MRI-US radiomics combined model.Clinical features and the best radiomics features were combined,which were used to build MRI radiomics-clinical combined model,US radiomics-clinical combined model,and MRI-US radiomics-clinical combined model.In the training set,the AUC of the clinical model,the MRI radiomics model,the US radiomics model,the MRI-US radiomics combined model,the MRI radiomics-clinical combined model,the US radiomics-clinical combined model,the MRI-US radiomics-clinical combined model for making a diagnose of NAFLD were 0.99,1.00,0.99,1.00,1.00,0.99,1.00.In the test set,they were 0.94,1.00,0.89,0.99,1.00,0.98,1.00.The results of the DCA showed the highest efficacy of the MRI-US radiomics-clinical combined model in the training set and test set.Conclusion The MRI-US radiomics-clinical combined model based on MRI and US has high diagnostic value for NAFLD.
Keywords:radiomicsdeep learningnon-alcoholic fatty liver diseasemagnetic resonance imagingultrasound imagingdiagnostics
Publication Date:2024-05-28
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:10( 474-483 )
