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Clin Gastroenterol Hepatol. 2021;19(4):797-805.e7.

Accuracy of Two-Dimensional Shear Wave Elastography and Attenuation Imaging for Evaluation of Patients With Nonalcoholic Steatohepatitis.

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제1저자 이동호, 조은주 · 교신저자 이재영

소속 (7)
  1. Department of Radiology, Seoul National University Hospital; Institute of Radiation Medicine, Seoul National University Medical Research Center.
  2. Department of Internal Medicine and Liver Research Institute.
  3. Department of Radiology, Seoul National University Hospital.
  4. Department of Radiology, Seoul National University Hospital; Institute of Radiation Medicine, Seoul National University Medical Research Center; Department of Radiology. Electronic address: leejy4u@gmail.com.
  5. Department of Pathology, Seoul National University College of Medicine.
  6. Department of Radiology, Seoul National University Hospital; Institute of Radiation Medicine, Seoul National University Medical Research Center; Department of Radiology.
  7. Department of Radiology, Chung-Ang University Hospital, Seoul, Republic of Korea.

Abstract

BACKGROUND & AIMS We evaluated the accuracy of a multiparametric approach using attenuation imaging and 2-dimensional shear wave elastography (2D-SWE) for the detection of steatosis and fibrosis in patients with nonalcoholic fatty liver disease (NAFLD).

METHODS We studied 102 patients with increased levels of liver enzymes or suspicion of NAFLD, examined by attenuation imaging and 2D-SWE, immediately before biopsy collection and analysis (reference standard), from January 2018 to July 2019. We collected data on the attenuation coefficient (dB/cm/MHz) from attenuation imaging, liver stiffness measurements, and shear wave dispersion slope (SWDS, [m/s]/kHz) from 2D-SWE. Multivariate linear regression analysis was performed to identify factors associated with each parameter. Diagnostic performance was determined from area under the receiver operating curve (AUROC) values.

RESULTS The attenuation coefficient was associated with steatosis grade (P < .01) and identified patients with steatosis grades S1 or higher, S2 or higher, and S3 or higher, with AUROC values of 0.93, 0.88, and 0.83, respectively. Liver stiffness associated with fibrosis stage (P < .01) and lobular inflammatory activity was the only factor associated with SWDS (P < .01). SWDS detected inflammation grades I1 or higher, I2 or higher, and I3 or higher with AUROC values of 0.89, 0.85, and 0.78, respectively. We developed a risk scoring system to detect steatohepatitis based on the attenuation coefficient (score of 1 for 0.64 < attenuation coefficient ≤ 0.70; score of 2 for 0.70 < attenuation coefficient ≤ 0.73; and score of 3 for attenuation coefficient >0.73) and SWDS (score of 2 for 10.5 [m/s]/kHz < SWDS ≤ 11.7 [m/s]/kHz; and score of 3 for SWDS >11.7 [m/s]/kHz), using an unweighted sum of each score. Based on histopathology analysis, 55 patients had steatohepatitis. Risk scores correlated with NAFLD activity score (rho = 0.73; P < .01). Our scoring system identified patients with steatohepatitis with an AUROC of 0.93-this value was significantly higher than that of other parameters (P < .05), except SWDS (AUROC, 0.89; P = .18).

CONCLUSIONS In the evaluation of patients with suspected NAFLD, the attenuation coefficient can identify patients with steatosis and liver stiffness can detect fibrosis accurately. SWDS was associated significantly with lobular inflammation. We developed a risk scoring system based on the attenuation coefficient and SWDS that might be used to detect steatohepatitis.

Copyright © 2021 AGA Institute. Published by Elsevier Inc. All rights reserved.

Keywords

Diagnostic ToolHepaticManagementNASH

그 밖의 정보
출판 형태
Journal Article
저널
Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · eISSN 1542-7714
전자 출판
2020-05-22
MeSH
Area Under Curve · Biopsy · Elasticity Imaging Techniques* · Humans · Liver / diagnostic imaging / pathology · Liver Cirrhosis / diagnostic imaging / pathology · Non-alcoholic Fatty Liver Disease* / diagnostic imaging / pathology