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Diagnostic Feasibility of Magnetic Resonance Elastography Radiomics Analysis for the Assessment of Hepatic Fibrosis in Patients With Nonalcoholic Fatty Liver Disease

Authors
Sim, Ki ChoonKim, Min JuCho, YongwonKim, Hyun JinPark, Beom JinSung, Deuk JaeHan, Yeo EunHan, Na YeonKim, Tae HyungLee, Yoo Jin
Issue Date
Jul-2022
Publisher
Lippincott Williams & Wilkins Ltd.
Keywords
radiomics; magnetic resonance imaging; elastography; nonalcoholic fatty liver disease; liver fibrosis
Citation
Journal of Computer Assisted Tomography, v.46, no.4, pp.505 - 513
Indexed
SCIE
SCOPUS
Journal Title
Journal of Computer Assisted Tomography
Volume
46
Number
4
Start Page
505
End Page
513
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/61142
DOI
10.1097/rct.0000000000001308
ISSN
0363-8715
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.
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2. Clinical Science > Department of Pathology > 1. Journal Articles
2. Clinical Science > Department of Gastroenterology and Hepatology > 1. Journal Articles
2. Clinical Science > Department of Radiology > 1. Journal Articles

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Han, Yeo Eun
안암병원 (Department of Radiology, Anam Hospital)
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