Literature DB >> 19092092

Quantification of liver fat content: comparison of triple-echo chemical shift gradient-echo imaging and in vivo proton MR spectroscopy.

Boris Guiu1, Jean-Michel Petit, Romaric Loffroy, Douraied Ben Salem, Serge Aho, David Masson, Patrick Hillon, Denis Krause, Jean-Pierre Cercueil.   

Abstract

PURPOSE: To validate a triple-echo gradient-echo sequence for measuring the fat content of the liver, by using hydrogen 1((1)H) magnetic resonance (MR) spectroscopy as the reference standard.
MATERIALS AND METHODS: This prospective study was approved by the appropriate ethics committee, and written informed consent was obtained from all patients. In 37 patients with type 2 diabetes (31 men, six women; mean age, 56 years), 3.0-T single-voxel point-resolved (1)H MR spectroscopy of the liver (Couinaud segment VII) was performed to calculate the liver fat fraction from the water (4.7 ppm) and methylene (1.3 ppm) peaks, corrected for T1 and T2 decay. Liver fat fraction was also computed from triple-echo (consecutive in-phase, opposed-phase, and in-phase echo times) breath-hold spoiled gradient-echo sequence (flip angle, 20 degrees), by estimating T2* and relative signal intensity loss between in- and opposed-phase values, corrected for T2* decay. Pearson correlation coefficient, Bland-Altman 95% limit of agreement, and Lin concordance coefficient were calculated.
RESULTS: Mean fat fractions calculated from the triple-echo sequence and (1)H MR spectroscopy were 10% (range, 0.7%-35.6%) and 9.7% (range, 0.2%-34.1%), respectively. Mean T2* time was 14.7 msec (range, 5.4-25.4 msec). Pearson correlation coefficient was 0.989 (P < .0001) and Lin concordance coefficient was 0.988 (P < .0001). With the Bland-Altman method, all data points were within the limits of agreement.
CONCLUSION: A breath-hold triple-echo gradient-echo sequence with a low flip angle and correction for T2* decay is accurate for quantifying fat in segment VII of the liver. Given its excellent correlation and concordance with (1)H MR spectroscopy, this triple-echo sequence could replace (1)H MR spectroscopy in longitudinal studies. (c) RSNA, 2009.

Entities:  

Mesh:

Year:  2009        PMID: 19092092     DOI: 10.1148/radiol.2493080217

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


  60 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

2.  Simultaneous assessment of liver volume and whole liver fat content: a step towards one-stop shop preoperative MRI protocol.

Authors:  Gaspard d'Assignies; Claude Kauffmann; Yvan Boulanger; Marc Bilodeau; Valérie Vilgrain; Gilles Soulez; An Tang
Journal:  Eur Radiol       Date:  2010-09-03       Impact factor: 5.315

Review 3.  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

4.  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

5.  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

6.  On the confounding effect of temperature on chemical shift-encoded fat quantification.

Authors:  Diego Hernando; Samir D Sharma; Harald Kramer; Scott B Reeder
Journal:  Magn Reson Med       Date:  2013-10-07       Impact factor: 4.668

7.  Nonalcoholic fatty liver disease: MR imaging of liver proton density fat fraction to assess hepatic steatosis.

Authors:  An Tang; Justin Tan; Mark Sun; Gavin Hamilton; Mark Bydder; Tanya Wolfson; Anthony C Gamst; Michael Middleton; Elizabeth M Brunt; Rohit Loomba; Joel E Lavine; Jeffrey B Schwimmer; Claude B Sirlin
Journal:  Radiology       Date:  2013-02-04       Impact factor: 11.105

8.  Quantum coherence spectroscopy to measure dietary fat retention in the liver.

Authors:  Lucas Lindeboom; Robin A de Graaf; Christine I Nabuurs; Petronella A van Ewijk; Matthijs Kc Hesselink; Joachim E Wildberger; Patrick Schrauwen; Vera B Schrauwen-Hinderling
Journal:  JCI Insight       Date:  2016-08-18

9.  Pancreatic fat and β-cell function in overweight/obese children with nonalcoholic fatty liver disease.

Authors:  Lucia Pacifico; Michele Di Martino; Caterina Anania; Gian Marco Andreoli; Mario Bezzi; Carlo Catalano; Claudio Chiesa
Journal:  World J Gastroenterol       Date:  2015-04-21       Impact factor: 5.742

10.  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

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