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Prospective comparison of magnetic resonance imaging to transient elastography and serum markers for liver fibrosis detection
Hadrien A. Dyvorne1, Guido H. Jajamovich1, Octavia Bane1, M. Isabel Fiel2, Hsin Chou3, Thomas D. Schiano3, Douglas Dieterich3, James S. Babb4, Scott L. Friedman3 andBachir Taouli1,5,*
Article first published online: 7 FEB 2016
DOI: 10.1111/liv.13058
© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd
Issue
Liver International
Volume 36, Issue 5, pages 659–666, May 2016
Article has an altmetric score of 2
1 Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
2 Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
3 Department of Medicine, Division of Liver Diseases, Mount Sinai School of Medicine, New York, NY, USA
4 Department of Radiology, New York University Langone Medical Center, New York, NY, USA
5 Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
* Correspondence
Bachir Taouli, MD, Department of Radiology and Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY 10029, USA
e-mail: [email protected]
SLF and BT: Co-last authors
Handling Editor: Frank Tacke
Keywords:
diffusion-weighted imaging;dynamic contrast-enhanced MRI;elastography;liver fibrosis;magnetic resonance imaging
Abstract
Background & Aims
Establishing accurate non-invasive methods of liver fibrosis quantification remains a major unmet need. Here, we assessed the diagnostic value of a multiparametric magnetic resonance imaging (MRI) protocol including diffusion-weighted imaging (DWI), dynamic contrast-enhanced (DCE)-MRI and magnetic resonance elastography (MRE) in comparison with transient elastography (TE) and blood tests [including ELF (Enhanced Liver Fibrosis) and APRI] for liver fibrosis detection.
Methods
In this single centre cross-sectional study, we prospectively enrolled 60 subjects with liver disease who underwent multiparametric MRI (DWI, DCE-MRI and MRE), TE and blood tests. Correlation was assessed between non-invasive modalities and histopathologic findings including stage, grade and collagen content, while accounting for covariates such as age, sex, BMI, HCV status and MRI-derived fat and iron content. ROC curve analysis evaluated the performance of each technique for detection of moderate-to-advanced liver fibrosis (F2–F4) and advanced fibrosis (F3–F4).
Results
Magnetic resonance elastography provided the strongest correlation with fibrosis stage (r = 0.66, P < 0.001), inflammation grade (r = 0.52, P < 0.001) and collagen content (r = 0.53, P = 0.036). For detection of moderate-to-advanced fibrosis (F2–F4), AUCs were 0.78, 0.82, 0.72, 0.79, 0.71 for MRE, TE, DCE-MRI, DWI and APRI, respectively. For detection of advanced fibrosis (F3–F4), AUCs were 0.94, 0.77, 0.79, 0.79 and 0.70, respectively.
Conclusions
Magnetic resonance elastography provides the highest correlation with histopathologic markers and yields high diagnostic performance for detection of advanced liver fibrosis and cirrhosis, compared to DWI, DCE-MRI, TE and serum markers.
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