Literature DB >> 19017926

Nonalcoholic fatty liver disease: rapid evaluation of liver fat content with in-phase and out-of-phase MR imaging.

Ronald J H Borra1, Sakari Salo, Kirsti Dean, Riikka Lautamäki, Pirjo Nuutila, Markku Komu, Riitta Parkkola.   

Abstract

PURPOSE: To evaluate in-phase and out-of-phase magnetic resonance (MR) imaging in the estimation of liver fat content (LFC) in patients with nonalcoholic fatty liver disease (NAFLD), with hydrogen ((1)H) MR spectroscopy as the reference standard.
MATERIALS AND METHODS: Written informed consent was obtained from all subjects, and the local ethics committee approved this prospective study protocol. A total of 33 patients with type 2 diabetes mellitus who were at high risk for NAFLD (23 men, 10 women; overall mean age, 62.8 years +/- 8.3 [standard deviation]; age range, 48-77 years) underwent 1.5-T MR imaging with (1)H MR spectroscopy and in-phase and out-of-phase imaging of the liver. Three fat indexes were calculated from the signal intensity (SI) measured on the images. Two radiologists independently graded SI changes between in-phase and out-of-phase images by means of visual inspection. The Pearson correlation coefficient was used to study the relationship between the obtained parameters of SI change and LFC measured with (1)H MR spectroscopy.
RESULTS: Fat indexes calculated from in-phase and out-of-phase images correlated linearly with LFC measured with (1)H MR spectroscopy (P < .001, r = 0.94-0.96) and were superior (P = .004) to visual estimates (P < .001, r = 0.88). The simple difference in SI between in-phase and out-of-phase images was used to calculate the fat index. An intercept of the regression line with the x-axis was observed at 5.1%, discriminating between normal and elevated LFC with high sensitivity (95%) and specificity (98%).
CONCLUSION: In-phase and out-of-phase imaging can be used to rapidly estimate the LFC in patients with NAFLD. The cutoff value of 5.1% enables objective rapid and reliable discrimination of normal LFC from elevated LFC. (c) RSNA, 2008.

Entities:  

Mesh:

Year:  2008        PMID: 19017926     DOI: 10.1148/radiol.2501071934

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  33 in total

Review 1.  Quantitative Assessment of Liver Fat with Magnetic Resonance Imaging and Spectroscopy.

Authors:  Scott B Reeder; Irene Cruite; Gavin Hamilton; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2011-09-16       Impact factor: 4.813

Review 2.  Quantification of liver fat with magnetic resonance imaging.

Authors:  Scott B Reeder; Claude B Sirlin
Journal:  Magn Reson Imaging Clin N Am       Date:  2010-08       Impact factor: 2.266

3.  Proton density fat-fraction: a standardized MR-based biomarker of tissue fat concentration.

Authors:  Scott B Reeder; Houchun H Hu; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2012-07-06       Impact factor: 4.813

4.  Mapping of liver fat with triple-echo gradient echo imaging: validation against 3.0-T proton MR spectroscopy.

Authors:  Boris Guiu; Romaric Loffroy; Jean-Michel Petit; Serge Aho; Douraied Ben Salem; David Masson; Patrick Hillon; Jean-Pierre Cercueil; Denis Krause
Journal:  Eur Radiol       Date:  2009-02-27       Impact factor: 5.315

5.  Comparison of vertebral bone marrow fat assessed by 1H MRS and inphase and out-of-phase MRI among family members.

Authors:  X Ojanen; R J H Borra; M Havu; S M Cheng; R Parkkola; P Nuutila; M Alen; S Cheng
Journal:  Osteoporos Int       Date:  2013-08-14       Impact factor: 4.507

6.  MR quantitative biomarkers of non-alcoholic fatty liver disease: technical evolutions and future trends.

Authors:  Guido Ligabue; Giulia Besutti; Riccardo Scaglioni; Chiara Stentarelli; Giovanni Guaraldi
Journal:  Quant Imaging Med Surg       Date:  2013-08

7.  Liver fat volume fraction quantification with fat and water T1 and T 2* estimation and accounting for NMR multiple components in patients with chronic liver disease at 1.5 and 3.0 T.

Authors:  Benjamin Leporq; Hélène Ratiney; Frank Pilleul; Olivier Beuf
Journal:  Eur Radiol       Date:  2013-04-16       Impact factor: 5.315

8.  The diagnostic accuracy of US, CT, MRI and 1H-MRS for the evaluation of hepatic steatosis compared with liver biopsy: a meta-analysis.

Authors:  Anneloes E Bohte; Jochem R van Werven; Shandra Bipat; Jaap Stoker
Journal:  Eur Radiol       Date:  2010-07-31       Impact factor: 5.315

Review 9.  Radiologic evaluation of nonalcoholic fatty liver disease.

Authors:  Seung Soo Lee; Seong Ho Park
Journal:  World J Gastroenterol       Date:  2014-06-21       Impact factor: 5.742

10.  Susceptibility variants for waist size in relation to abdominal, visceral, and hepatic adiposity in postmenopausal women.

Authors:  Unhee Lim; Thomas Ernst; Lynne R Wilkens; Cheryl L Albright; Annette Lum-Jones; Ann Seifried; Steven D Buchthal; Rachel Novotny; Laurence N Kolonel; Linda Chang; Iona Cheng; Loïc Le Marchand
Journal:  J Acad Nutr Diet       Date:  2012-07       Impact factor: 4.910

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