Literature DB >> 21591008

Hepatic fat quantification using chemical shift MR imaging and MR spectroscopy in the presence of hepatic iron deposition: validation in phantoms and in patients with chronic liver disease.

Seung Soo Lee1, Youngjoo Lee, Namkug Kim, Seong Who Kim, Jae Ho Byun, Seong Ho Park, Moon-Gyu Lee, Hyun Kwon Ha.   

Abstract

PURPOSE: To compare the accuracy of four chemical shift magnetic resonance imaging (MRI) (CS-MRI) analysis methods and MR spectroscopy (MRS) with and without T2-correction in fat quantification in the presence of excess iron.
MATERIALS AND METHODS: CS-MRI with six opposed- and in-phase acquisitions and MRS with five-echo acquisitions (TEs of 20, 30, 40, 50, 60 msec) were performed at 1.5 T on phantoms containing various fat fractions (FFs), on phantoms containing various iron concentrations, and in 18 patients with chronic liver disease. For CS-MRI, FFs were estimated with the dual-echo method, with two T2*-correction methods (triple- and multiecho), and with multiinterference methods that corrected for both T2* and spectral interference effects. For MRS, FF was estimated without T2-correction (single-echo MRS) and with T2-correction (multiecho MRS).
RESULTS: In the phantoms, T2*- or T2-correction methods for CS-MRI and MRS provided unbiased estimations of FFs (mean bias, -1.1% to 0.5%) regardless of iron concentration, whereas the dual-echo method (-5.5% to -8.4%) and single-echo MRS (12.1% to 37.3%) resulted in large biases in FFs. In patients, the FFs estimated with triple-echo (R = 0.98), multiecho (R = 0.99), and multiinterference (R = 0.99) methods had stronger correlations with multiecho MRS FFs than with the dual-echo method (R = 0.86; P ≤ 0.011). The FFs estimated with multiinterference method showed the closest agreement with multiecho MRS FFs (the 95% limit-of-agreement, -0.2 ± 1.1).
CONCLUSION: T2*- or T2-correction methods are effective in correcting the confounding effects of iron, enabling an accurate fat quantification throughout a wide range of iron concentrations. Spectral modeling of fat may further improve the accuracy of CS-MRI in fat quantification.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21591008     DOI: 10.1002/jmri.22583

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  18 in total

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2.  Quantitative MRI for hepatic fat fraction and T2* measurement in pediatric patients with non-alcoholic fatty liver disease.

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3.  Simultaneous field and R2 mapping to quantify liver iron content using autoregressive moving average modeling.

Authors:  Brian A Taylor; Ralf B Loeffler; Ruitian Song; M Beth McCarville; Jane S Hankins; Claudia M Hillenbrand
Journal:  J Magn Reson Imaging       Date:  2011-12-16       Impact factor: 4.813

4.  Chemical shift-based MRI to measure fat fractions in dystrophic skeletal muscle.

Authors:  William T Triplett; Celine Baligand; Sean C Forbes; Rebecca J Willcocks; Donovan J Lott; Soren DeVos; Jim Pollaro; William D Rooney; H Lee Sweeney; Carsten G Bönnemann; Dah-Jyuu Wang; Krista Vandenborne; Glenn A Walter
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5.  Validation of MRI biomarkers of hepatic steatosis in the presence of iron overload in the ob/ob mouse.

Authors:  Catherine D G Hines; Rashmi Agni; Calista Roen; Ian Rowland; Diego Hernando; Eric Bultman; Debra Horng; Huanzhou Yu; Ann Shimakawa; Jean H Brittain; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2011-11-29       Impact factor: 4.813

6.  Hypodense liver lesions in patients with hepatic steatosis: do we profit from dual-energy computed tomography?

Authors:  Johanna Nattenmüller; Waldemar Hosch; Tri-Thien Nguyen; Stephan Skornitzke; Andreas Jöres; Lars Grenacher; Hans-Ulrich Kauczor; Christof M Sommer; Wolfram Stiller
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7.  Pancreatic fat and β-cell function in overweight/obese children with nonalcoholic fatty liver disease.

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Authors:  Seung Soo Lee; Seong Ho Park
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9.  Effect of hepatocyte-specific gadolinium-based contrast agents on hepatic fat-fraction and R2(⁎).

Authors:  Diego Hernando; Shane A Wells; Karl K Vigen; Scott B Reeder
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Review 10.  MRI and MRE for non-invasive quantitative assessment of hepatic steatosis and fibrosis in NAFLD and NASH: Clinical trials to clinical practice.

Authors:  Parambir S Dulai; Claude B Sirlin; Rohit Loomba
Journal:  J Hepatol       Date:  2016-06-14       Impact factor: 25.083

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