Author of 1 Presentation
SS 1.8 - Quantitative MRI characterisation of non-alcoholic steatohepatitis in a dietary rodent model
Abstract
Purpose
To assess the diagnostic performance of quantitative MRI parameters for the diagnosis of early non-alcoholic steatohepatitis (NASH) in a dietary rodent model.
Material and methods
We included 74 mice (C57bl6) with 2 control groups fed with normal diet (for 5 and 17 weeks, N=7), 3 dietary groups (5, 11 and 16 weeks, N=10) fed with high-fat diet deficient in choline and supplemented with methionine and 3 dietary groups (5, 11 and 16 weeks, N=10) fed with high-fat diet. The liver was scanned with a 7T system. Proton density fat fraction (PDFF), R2*, mechanical properties at 400, 600 and 800Hz including storage modulus (G’), loss modulus (G’’), damping ratio, shear modulus (G*) and G* frequency dispersion coefficient were obtained with dedicated imaging sequences. At histopathology, the grade of steatosis, ballooning, inflammation, and the fibrosis stage were assessed. NASH was diagnosed according to the FLIP algorithm. Receiver operating characteristic (ROC) analysis, Spearman correlations and multivariate regression were used to test the variables.
Results
Nineteen mice had NASH including 15 with stage 1 fibrosis. Thirty-two had simple steatosis. G’’ at 400Hz had the largest AUROC for NASH (0.84; p<0.01) and for diagnosing NASH versus simple steatosis (0.80; p<0.01). Cutoff of G’’>0.38 kPa had 89% sensitivity and 79% specificity for NASH diagnosis. PDFF correlated with steatosis % (rho 0.81; p<0.01). In multivariate analysis, inflammation was the only determinant of the frequency dispersion coefficient.
Conclusion
At quantitative MRI, the loss modulus had the best diagnostic performance for diagnosing early NASH. Frequency dispersion coefficient might be a marker of liver inflammation.
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Author of 1 Presentation
SS 1.8 - Quantitative MRI characterisation of non-alcoholic steatohepatitis in a dietary rodent model (ID 695)
Abstract
Purpose
To assess the diagnostic performance of quantitative MRI parameters for the diagnosis of early non-alcoholic steatohepatitis (NASH) in a dietary rodent model.
Material and methods
We included 74 mice (C57bl6) with 2 control groups fed with normal diet (for 5 and 17 weeks, N=7), 3 dietary groups (5, 11 and 16 weeks, N=10) fed with high-fat diet deficient in choline and supplemented with methionine and 3 dietary groups (5, 11 and 16 weeks, N=10) fed with high-fat diet. The liver was scanned with a 7T system. Proton density fat fraction (PDFF), R2*, mechanical properties at 400, 600 and 800Hz including storage modulus (G’), loss modulus (G’’), damping ratio, shear modulus (G*) and G* frequency dispersion coefficient were obtained with dedicated imaging sequences. At histopathology, the grade of steatosis, ballooning, inflammation, and the fibrosis stage were assessed. NASH was diagnosed according to the FLIP algorithm. Receiver operating characteristic (ROC) analysis, Spearman correlations and multivariate regression were used to test the variables.
Results
Nineteen mice had NASH including 15 with stage 1 fibrosis. Thirty-two had simple steatosis. G’’ at 400Hz had the largest AUROC for NASH (0.84; p<0.01) and for diagnosing NASH versus simple steatosis (0.80; p<0.01). Cutoff of G’’>0.38 kPa had 89% sensitivity and 79% specificity for NASH diagnosis. PDFF correlated with steatosis % (rho 0.81; p<0.01). In multivariate analysis, inflammation was the only determinant of the frequency dispersion coefficient.
Conclusion
At quantitative MRI, the loss modulus had the best diagnostic performance for diagnosing early NASH. Frequency dispersion coefficient might be a marker of liver inflammation.