scholarly journals MR elastography in nonalcoholic fatty liver disease: inter-center and inter-analysis-method measurement reproducibility and accuracy at 3T

Author(s):  
An Tang ◽  
Bogdan Dzyubak ◽  
Meng Yin ◽  
Alexandra Schlein ◽  
Walter C. Henderson ◽  
...  

Abstract Objectives To assess reproducibility and fibrosis classification accuracy of magnetic resonance elastography (MRE)–determined liver stiffness measured manually at two different centers, and by automated analysis software in adults with nonalcoholic fatty liver disease (NAFLD), using histopathology as a reference standard. Methods This retrospective, cross-sectional study included 91 adults with NAFLD who underwent liver MRE and biopsy. MRE-determined liver stiffness was measured independently for this analysis by an image analyst at each of two centers using standardized manual analysis methodology, and separately by an automated analysis. Reproducibility was assessed pairwise by intraclass correlation coefficient (ICC) and Bland-Altman analysis. Diagnostic accuracy was assessed by receiver operating characteristic (ROC) analyses. Results ICC of liver stiffness measurements was 0.95 (95% CI: 0.93, 0.97) between center 1 and center 2 analysts, 0.96 (95% CI: 0.94, 0.97) between the center 1 analyst and automated analysis, and 0.94 (95% CI: 0.91, 0.96) between the center 2 analyst and automated analysis. Mean bias and 95% limits of agreement were 0.06 ± 0.38 kPa between center 1 and center 2 analysts, 0.05 ± 0.32 kPa between the center 1 analyst and automated analysis, and 0.11 ± 0.41 kPa between the center 2 analyst and automated analysis. The area under the ROC curves for the center 1 analyst, center 2 analyst, and automated analysis were 0.834, 0.833, and 0.847 for distinguishing fibrosis stage 0 vs. ≥ 1, and 0.939, 0.947, and 0.940 for distinguishing fibrosis stage ≤ 2 vs. ≥ 3. Conclusion MRE-determined liver stiffness can be measured with high reproducibility and fibrosis classification accuracy at different centers and by an automated analysis. Key Points • Reproducibility of MRE liver stiffness measurements in adults with nonalcoholic fatty liver disease is high between two experienced centers and between manual and automated analysis methods. • Analysts at two centers had similar high diagnostic accuracy for distinguishing dichotomized fibrosis stages. • Automated analysis provides similar diagnostic accuracy as manual analysis for advanced fibrosis.

2018 ◽  
Vol 16 ◽  
pp. 205873921880267 ◽  
Author(s):  
Si-Biao Su ◽  
Wen Chen ◽  
Fei-Fei Huang ◽  
Jian-Feng Zhang

The aims of this article are to investigate the effects of Th22 and Th17 cells and plasma cytokines in patients with nonalcoholic fatty liver disease (NAFLD) and to examine the correlation between Th22 and Th17 cells levels and disease progression. Blood samples from 70 patients with NAFLD and 26 healthy controls (HCs) were collected. Flow cytometry and enzyme-linked immunosorbent assay (ELISA) analysis were performed. ELISA revealed interleukin (IL)-22 plasma level in FibroScan subgroup patients was 2.2-fold higher than that in the HCs ( P < 0.01), body mass index (BMI) subgroup patients were 2.3-fold higher than HCs ( P < 0.01), IL-17A plasma level was 5.6-fold higher in FibroScan subgroup patients than that in the HCs ( P < 0.01), and 5.8-fold higher in BMI subgroup than HCs ( P < 0.01). Flow cytometry revealed median proportions of Th22 cells in FibroScan group was greater than that in the HCs (3.85% vs 0.86%; P < 0.001). Similar results were obtained for Th17 cells (6.36% vs 0.9%; P < 0.001). The liver stiffness measurement value was highly correlated with the proportion of Th17 and Th22 cells and moderately correlated with the plasma level of IL-17A, IL-22, and the BMI value. In conclusion, the elevated proportions of Th17 and Th22 cells were significantly correlated with the degree of liver cirrhosis in NAFLD patients. They may play an inflammatory and immune response role in progression from nonalcoholic fatty liver (NAFL) to nonalcoholic steatohepatitis (NASH) or fibrosis.


Hepatology ◽  
2021 ◽  
Author(s):  
Nobuyoshi Kawamura ◽  
Kento Imajo ◽  
Kyle J. Kalutkiewicz ◽  
Koki Nagai ◽  
Michihiro Iwaki ◽  
...  

2020 ◽  
Vol 115 (1) ◽  
pp. S522-S522
Author(s):  
Pankaj Aggarwal ◽  
Allison Harrington ◽  
Tamneet Singh ◽  
Oladuni Cummings-John ◽  
Anita Kohli ◽  
...  

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