Intravoxel incoherent motion diffusion-weighted MRI for the characterization of inflammation in chronic liver disease

• Published in: European radiology Vol. 31; no. 3; pp. 1347 - 1358
• Main Authors: Lefebvre, Thierry, Hébert, Mélanie, Bilodeau, Laurent, Sebastiani, Giada, Cerny, Milena, Olivié, Damien, Gao, Zu-Hua, Sylvestre, Marie-Pierre, Cloutier, Guy, Nguyen, Bich N., Gilbert, Guillaume, Tang, An
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2021; Springer Nature B.V
• Subjects: Biomarkers; Biopsy; Correlation analysis; Correlation coefficient; Correlation coefficients; Cross-Sectional Studies; Diagnostic Radiology; Diagnostic systems; Diffusion; Diffusion coefficient; Diffusion Magnetic Resonance Imaging; Fatty liver; Fibrosis; Humans; Imaging; Inflammation; Inflammation - diagnostic imaging; Internal Medicine; Interventional Radiology; Liver; Liver diseases; Liver Diseases - diagnostic imaging; Magnetic Resonance; Magnetic Resonance Imaging; Medicine; Medicine & Public Health; Motion; Neuroradiology; Parameters; Performance evaluation; Perfusion; Radiology; Regression analysis; Retrospective Studies; Steatosis; Ultrasound; Hepatitis; Inflammation; Nonalcoholic fatty liver disease; Biopsy; Diffusion-weighted MRI
• ISSN: 0938-7994; 1432-1084
• DOI: 10.1007/s00330-020-07203-y

Objective To evaluate the diagnostic performance of intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) for grading hepatic inflammation. Methods In this retrospective cross-sectional dual-center study, 91 patients with chronic liver disease were recruited between September 2014 and September 2018. Patients underwent 3.0-T MRI examinations within 6 weeks from a liver biopsy. IVIM parameters, perfusion fraction ( f ), diffusion coefficient ( D ), and pseudo-diffusion coefficient ( D* ), were estimated using a voxel-wise nonlinear regression on DWI series (10 b -values from 0 to 800 s/mm 2 ). The reference standard was histopathological analysis of hepatic inflammation grade, steatosis grade, and fibrosis stage. Intraclass correlation coefficients (ICC), univariate and multivariate correlation analyses, and areas under receiver operating characteristic curves (AUC) were assessed. Results Parameters f , D , and D* had ICCs of 0.860, 0.839, and 0.916, respectively. Correlations of f , D , and D* with inflammation grade were ρ  = − 0.70, p  < 0.0001; ρ  = 0.10, p  = 0.35; and ρ  = − 0.27, p  = 0.010, respectively. When adjusting for fibrosis and steatosis, the correlation between f and inflammation ( p  < 0.0001) remained, and that between f and fibrosis was also significant to a lesser extent ( p  = 0.002). AUCs of f , D , and D* for distinguishing inflammation grades 0 vs. ≥ 1 were 0.84, 0.53, and 0.70; ≤ 1 vs. ≥ 2 were 0.88, 0.57, and 0.60; and ≤ 2 vs. 3 were 0.86, 0.54, and 0.65, respectively. Conclusion Perfusion fraction f strongly correlated, D very weakly correlated, and D* weakly correlated with inflammation. Among all IVIM parameters, f accurately graded inflammation and showed promise as a biomarker of hepatic inflammation. Key Points • IVIM parameters derived from DWI series with 10 b-values are reproducible for liver tissue characterization . • This retrospective two-center study showed that perfusion fraction provided good diagnostic performance for distinguishing dichotomized grades of inflammation . • Fibrosis is a significant confounder on the association between inflammation and perfusion fraction .