Diagnostic Feasibility of Magnetic Resonance Elastography Radiomics Analysis for the Assessment of Hepatic Fibrosis in Patients With Nonalcoholic Fatty Liver Disease. Issue 4 (27th July 2022)

• Record Type: Journal Article
• Authors: Sim, Ki Choon; Kim, Min Ju; Cho, Yongwon; Kim, Hyun Jin; Park, Beom Jin; Sung, Deuk Jae; Han, Yeo Eun; Han, Na Yeon; Kim, Tae Hyung; Lee, Yoo Jin
• Is Part Of: Journal of computer assisted tomography. Volume 46:Issue 4(2022)
• Page Start: 505
• Page End: 513
• Publication Date: 2022-07-27
• Subjects: radiomics -- magnetic resonance imaging -- elastography -- nonalcoholic fatty liver disease -- liver fibrosis; Tomography -- Periodicals; Tomography -- Periodicals; Tomography; Periodicals; 616.0757
• DOI: 10.1097/RCT.0000000000001308
• Languages: English
• ISSNs: 0363-8715

Abstract

Abstract : Objective: The aim of the study was to investigate the diagnostic feasibility of radiomics analysis using magnetic resonance elastography (MRE) to assess hepatic fibrosis in patients with nonalcoholic fatty liver disease (NAFLD). Methods: One hundred patients with suspected NAFLD were retrospectively enrolled. All patients underwent a liver parenchymal biopsy. Magnetic resonance elastography was performed using a 3.0-T scanner. After multislice segmentation of MRE images, 834 radiomic features were analyzed using a commercial program. Radiologic features, such as median and mean values of the regions of interest and variable clinical features, were analyzed. A random forest regressor was used to extract important radiomic, radiological, and clinical features. A random forest classifier model was trained to use these features to classify the fibrosis stage. The area under the receiver operating characteristic curve was evaluated using a classifier for fibrosis stage diagnosis. Results: The pathological hepatic fibrosis stage was classified as low-grade fibrosis (stages F0–F1, n = 82) or clinically significant fibrosis (stages F2–F4, n = 18). Eight important features were extracted from radiomics analysis, with the 2 most important being wavelet-high high low gray level dependence matrix dependence nonuniformity-normalized and wavelet-high high low gray level dependence matrix dependence entropy. The median value of the multiple small regions of interest was identified as the most important radiologic feature. Platelet count has been identified as an important clinical feature. The area under the receiver operating characteristic curve of the classifier using radiomics was comparable with that of radiologic measures (0.97 ± 0.07 and 0.96 ± 0.06, respectively). Conclusions: Magnetic resonance elastography radiomics analysis provides diagnostic performance comparable with conventional MRE analysis for the assessment of clinically significant hepatic fibrosis in patients with NAFLD.