Magnetic resonance imaging and spectroscopy for monitoring liver steatosis-Reference-Cited by-同舟云学术

Magnetic resonance imaging and spectroscopy for monitoring liver steatosis

Published:2008-10 Issue:4 Volume:28 Page:937-945
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J. Magn. Reson. Imaging

Author:

Cowin Gary J.,Jonsson Julie R.,Bauer Judith D.,Ash Susan,Ali Azmat,Osland Emma J.,Purdie David M.,Clouston Andrew D.,Powell Elizabeth E.,Galloway Graham J.

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Reference33 articles.

1. Nonalcoholic steatohepatitis: summary of an AASLD single topic conference;Neuschwander-Tetri;Hepatology,2003

2. Fibrosis in chronic hepatitis C correlates significantly with body mass index and steatosis;Hourigan;Hepatology,1999

3. Steatosis is a cofactor in liver injury in hemochromatosis;Powell;Gastroenterology,2005

4. High body mass index is an independent risk factor for nonresponse to antiviral treatment in chronic hepatitis C;Bressler;Hepatology,2003

5. Effect of treatment with peginterferon or interferon alfa-2b and ribavirin on steatosis in patients infected with hepatitis C;Poynard;Hepatology,2003

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