Literature DB >> 21448952

T(1) independent, T(2) (*) corrected chemical shift based fat-water separation with multi-peak fat spectral modeling is an accurate and precise measure of hepatic steatosis.

Catherine D G Hines1, Alex Frydrychowicz, Gavin Hamilton, Dana L Tudorascu, Karl K Vigen, Huanzhou Yu, Charles A McKenzie, Claude B Sirlin, Jean H Brittain, Scott B Reeder.   

Abstract

PURPOSE: To determine the precision and accuracy of hepatic fat-fraction measured with a chemical shift-based MRI fat-water separation method, using single-voxel MR spectroscopy (MRS) as a reference standard.
MATERIALS AND METHODS: In 42 patients, two repeated measurements were made using a T(1) -independent, T 2*-corrected chemical shift-based fat-water separation method with multi-peak spectral modeling of fat, and T(2) -corrected single voxel MR spectroscopy. Precision was assessed through calculation of Bland-Altman plots and concordance correlation intervals. Accuracy was assessed through linear regression between MRI and MRS. Sensitivity and specificity of MRI fat-fractions for diagnosis of steatosis using MRS as a reference standard were also calculated.
RESULTS: Statistical analysis demonstrated excellent precision of MRI and MRS fat-fractions, indicated by 95% confidence intervals (units of absolute percent) of [-2.66%,2.64%] for single MRI ROI measurements, [-0.81%,0.80%] for averaged MRI ROI, and [-2.70%,2.87%] for single-voxel MRS. Linear regression between MRI and MRS indicated that the MRI method is highly accurate. Sensitivity and specificity for detection of steatosis using averaged MRI ROI were 100% and 94%, respectively. The relationship between hepatic fat-fraction and body mass index was examined.
CONCLUSION: Fat-fraction measured with T(1) -independent T 2*-corrected MRI and multi-peak spectral modeling of fat is a highly precise and accurate method of quantifying hepatic steatosis.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21448952      PMCID: PMC3130738          DOI: 10.1002/jmri.22514

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


  36 in total

1.  Hepatic fat fraction: MR imaging for quantitative measurement and display--early experience.

Authors:  Hero K Hussain; Thomas L Chenevert; Frank J Londy; Vikas Gulani; Scott D Swanson; Barbara J McKenna; Henry D Appelman; Saroja Adusumilli; Joel K Greenson; Hari S Conjeevaram
Journal:  Radiology       Date:  2005-10-19       Impact factor: 11.105

Review 2.  Fatty liver: imaging patterns and pitfalls.

Authors:  Okka W Hamer; Diego A Aguirre; Giovanna Casola; Joel E Lavine; Matthias Woenckhaus; Claude B Sirlin
Journal:  Radiographics       Date:  2006 Nov-Dec       Impact factor: 5.333

3.  Relaxation effects in the quantification of fat using gradient echo imaging.

Authors:  Mark Bydder; Takeshi Yokoo; Gavin Hamilton; Michael S Middleton; Alyssa D Chavez; Jeffrey B Schwimmer; Joel E Lavine; Claude B Sirlin
Journal:  Magn Reson Imaging       Date:  2008-02-21       Impact factor: 2.546

4.  Fat quantification with IDEAL gradient echo imaging: correction of bias from T(1) and noise.

Authors:  Chia-Ying Liu; Charles A McKenzie; Huanzhou Yu; Jean H Brittain; Scott B Reeder
Journal:  Magn Reson Med       Date:  2007-08       Impact factor: 4.668

5.  Comparison of reconstruction accuracy and efficiency among autocalibrating data-driven parallel imaging methods.

Authors:  Anja C S Brau; Philip J Beatty; Stefan Skare; Roland Bammer
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Review 6.  Nonalcoholic fatty liver disease: a clinical review.

Authors:  David A Sass; Parke Chang; Kapil B Chopra
Journal:  Dig Dis Sci       Date:  2005-01       Impact factor: 3.199

Review 7.  Non-alcoholic steatohepatitis (NASH) and hepatocellular carcinoma.

Authors:  Antonio Cuadrado; Aitor Orive; Covadonga García-Suárez; Agustín Domínguez; Jose Carlos Fernández-Escalante; Javier Crespo; Fernando Pons-Romero
Journal:  Obes Surg       Date:  2005-03       Impact factor: 4.129

8.  Water-fat separation with IDEAL gradient-echo imaging.

Authors:  Scott B Reeder; Charles A McKenzie; Angel R Pineda; Huanzhou Yu; Ann Shimakawa; Anja C Brau; Brian A Hargreaves; Garry E Gold; Jean H Brittain
Journal:  J Magn Reson Imaging       Date:  2007-03       Impact factor: 4.813

9.  Steatosis and hepatocellular carcinoma risk.

Authors:  A Smedile; E Bugianesi
Journal:  Eur Rev Med Pharmacol Sci       Date:  2005 Sep-Oct       Impact factor: 3.507

10.  Multiecho reconstruction for simultaneous water-fat decomposition and T2* estimation.

Authors:  Huanzhou Yu; Charles A McKenzie; Ann Shimakawa; Anthony T Vu; Anja C S Brau; Philip J Beatty; Angel R Pineda; Jean H Brittain; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2007-10       Impact factor: 4.813

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  102 in total

1.  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

2.  Effect of gadolinium on hepatic fat quantification using multi-echo reconstruction technique with T2* correction and estimation.

Authors:  Mingmei Ge; Jing Zhang; Bing Wu; Zhiqin Liu; Hai Song; Xiangfeng Meng; Xinhuai Wu
Journal:  Eur Radiol       Date:  2015-09-17       Impact factor: 5.315

Review 3.  Quantitative proton MR techniques for measuring fat.

Authors:  H H Hu; H E Kan
Journal:  NMR Biomed       Date:  2013-10-03       Impact factor: 4.044

4.  Usefulness of Controlled Attenuation Parameter in Detecting and Monitoring Hepatic Steatosis with MRI-PDFF as Reference.

Authors:  Jing-Houng Wang; Hsin-You Ou; Yi-Hao Yen; Chien-Hung Chen; Sheng-Nan Lu
Journal:  Dig Dis Sci       Date:  2019-10-15       Impact factor: 3.199

5.  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

6.  Association between novel MRI-estimated pancreatic fat and liver histology-determined steatosis and fibrosis in non-alcoholic fatty liver disease.

Authors:  N S Patel; M R Peterson; D A Brenner; E Heba; C Sirlin; R Loomba
Journal:  Aliment Pharmacol Ther       Date:  2013-02-05       Impact factor: 8.171

7.  In vivo triglyceride composition of abdominal adipose tissue measured by 1 H MRS at 3T.

Authors:  Gavin Hamilton; Alexandra N Schlein; Michael S Middleton; Catherine A Hooker; Tanya Wolfson; Anthony C Gamst; Rohit Loomba; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2016-08-29       Impact factor: 4.813

8.  Proton density fat-fraction is an accurate biomarker of hepatic steatosis in adolescent girls and young women.

Authors:  Jennifer L Rehm; Peter M Wolfgram; Diego Hernando; Jens C Eickhoff; David B Allen; Scott B Reeder
Journal:  Eur Radiol       Date:  2015-04-28       Impact factor: 5.315

9.  Motion-robust, high-SNR liver fat quantification using a 2D sequential acquisition with a variable flip angle approach.

Authors:  Ruiyang Zhao; Yuxin Zhang; Xiaoke Wang; Timothy J Colgan; Jennifer L Rehm; Scott B Reeder; Kevin M Johnson; Diego Hernando
Journal:  Magn Reson Med       Date:  2020-04-03       Impact factor: 4.668

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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