Literature DB >> 26047820

Liver fat quantification: Comparison of dual-echo and triple-echo chemical shift MRI to MR spectroscopy.

Janakan Satkunasingham1, Cecilia Besa1, Octavia Bane2, Ami Shah3, André de Oliveira4, Wesley D Gilson4, Stephan Kannengiesser4, Bachir Taouli5.   

Abstract

PURPOSE: To assess the diagnostic value of MRI using dual-echo (2PD) and triple-echo (3PD) chemical shift imaging for liver fat quantification against multi-echo T2 corrected MR spectroscopy (MRS) used as the reference standard, and examine the effect of T2(*) imaging on accuracy of MRI for fat quantification.
MATERIALS AND METHODS: Patients who underwent 1.5T liver MRI that incorporated 2PD, 3PD, multi-echo T2(*) and MRS were included in this IRB approved prospective study. Regions of interest were placed in the liver to measure fat fraction (FF) with 2PD and 3PD and compared with MRS-FF. A random subset of 25 patients with a wide range of MRS-FF was analyzed with an advanced FF calculation method, to prove concordance with the 3PD. The statistical analysis included correlation stratified according to T2(*), Bland-Altman analysis, and calculation of diagnostic accuracy for detection of MRS-FF>6.25%.
RESULTS: 220 MRI studies were identified in 217 patients (mean BMI 28.0±5.6). 57/217 (26.2%) patients demonstrated liver steatosis (MRS-FF>6.25%). Bland-Altman analysis revealed strong agreement between 3PD and MRS (mean±1.96 SD: -0.5%±4.6%) and weaker agreement between 2PD and MRS (4.7%±16.0%). Sensitivity of 3PD for diagnosing FF> 6.25% was higher than that of 2PD. 3PD-FF showed minor discrepancies (coefficient of variation <10%) from FF measured with the advanced method.
CONCLUSION: Our large series study validates the use of 3PD chemical shift sequence for detection of liver fat in the clinical environment, even in the presence of T2(*) shortening.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Dixon method; Fat; Liver; MR spectroscopy

Mesh:

Year:  2015        PMID: 26047820     DOI: 10.1016/j.ejrad.2015.05.001

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  8 in total

1.  Quantitative susceptibility mapping in combination with water-fat separation for simultaneous liver iron and fat fraction quantification.

Authors:  Huimin Lin; Hongjiang Wei; Naying He; Caixia Fu; Shu Cheng; Jun Shen; Baisong Wang; Xu Yan; Chunlei Liu; Fuhua Yan
Journal:  Eur Radiol       Date:  2018-02-22       Impact factor: 5.315

2.  Comparing intramuscular adipose tissue on T1-weighted and two-point Dixon images.

Authors:  Madoka Ogawa; Akito Yoshiko; Noriko Tanaka; Teruhiko Koike; Yoshiharu Oshida; Hiroshi Akima
Journal:  PLoS One       Date:  2020-04-09       Impact factor: 3.240

3.  Quantification of Hepatic Lipid Using 7.0T Proton Magnetic Resonance Spectroscopy and Computed Tomography in Mild Alcoholic Steatotic Mice.

Authors:  Qi Cao; Su Xu; Shujing Li; Minjie Chen; Xicui Sun; Yamin Wan; Liya Pi; Zhekang Ying; Bin Ren
Journal:  J Liver       Date:  2018-12-31

4.  Fibroblast Growth Factor-21 to Adiponectin Ratio: A Potential Biomarker to Monitor Liver Fat in Children With Obesity.

Authors:  Emir Tas; Shasha Bai; Xiawei Ou; Kelly Mercer; Haixia Lin; Kori Mansfield; Robert Buchmann; Eva C Diaz; Jon Oden; Elisabet Børsheim; Sean H Adams; Jonathan Dranoff
Journal:  Front Endocrinol (Lausanne)       Date:  2020-09-17       Impact factor: 5.555

5.  Evaluation of Rabbits Liver Fibrosis Using Gd-DTPA-BMA of Dynamic Contrast-Enhanced Magnetic Resonance Imaging.

Authors:  Qian Cui; FengTai He; Jiawei Hu; Shuo Li; Dongmei Guo; Xu Bie; Wei Liu; Yiping Zhao
Journal:  Evid Based Complement Alternat Med       Date:  2021-09-17       Impact factor: 2.629

6.  How to select the quantitative magnetic resonance technique for subjects with fatty liver: A systematic review.

Authors:  You-Wei Li; Yang Jiao; Na Chen; Qiang Gao; Yu-Kun Chen; Yuan-Fang Zhang; Qi-Ping Wen; Zong-Ming Zhang
Journal:  World J Clin Cases       Date:  2022-09-06       Impact factor: 1.534

7.  Liver fat accumulation measured by high-speed T2-corrected multi-echo magnetic resonance spectroscopy can predict risk of cholelithiasis.

Authors:  Hong Chen; Wei-Ke Zeng; Guang-Zi Shi; Ming Gao; Meng-Zhu Wang; Jun Shen
Journal:  World J Gastroenterol       Date:  2020-09-07       Impact factor: 5.742

8.  Noninvasive Quantification of Liver Fat Content by Different Gradient Echo Magnetic Resonance Imaging Sequences in Patients with Nonalcoholic Fatty Liver Disease.

Authors:  Mansour Zabihzadeh; Mohammad Momen Gharibvand; Azim Motamedfar; Morteza Tahmasebi; Amir Hossein Sina; Kavous Bahrami; Mozafar Naserpour
Journal:  J Med Signals Sens       Date:  2018 Oct-Dec
  8 in total

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