Literature DB >> 23172799

Reproducibility of hepatic fat fraction measurement by magnetic resonance imaging.

Arian Mashhood1, Radha Railkar, Takeshi Yokoo, Yakir Levin, Lisa Clark, Sabrina Fox-Bosetti, Michael S Middleton, Jonathan Riek, Eunkyung Kauh, Bernard J Dardzinski, Donald Williams, Claude Sirlin, Norah J Shire.   

Abstract

PURPOSE: To evaluate the reproducibility of magnetic resonance imaging (MRI)-determined hepatic fat fraction (%) across imaging sites with different magnet types and field strength. Reproducibility among MRI platforms is unclear, even though evaluating hepatic fat fractions (FFs) using MRI-based methods is accurate against MR spectroscopy.
MATERIALS AND METHODS: Overweight subjects were recruited to undergo eight MRI examinations at five imaging centers with a range of magnet manufacturers and field strengths (1.5 and 3 T). FFs were estimated in liver and in fat-emulsion phantoms using three methods: 1) dual-echo images without correction (nominally out-of-phase [OP] and in-phase [IP]); 2) dual-dual-echo images (two sequences) with T2* correction (nominally OP/IP and IP/IP); and 3) six-echo images with spectral model and T2* correction, at sequential alternating OP and IP echo times (Methods 1, 2, and 3, respectively).
RESULTS: Ten subjects were recruited. For Methods 1, 2, and 3, respectively, hepatic FF ranged from -2.5 to 27.0, 1.9 to 29.6, and 1.3 to 34.4%. Intraclass correlation coefficients were 0.85, 0.89, and 0.91 for each method, and within-subject coefficients of variation were 18.5, 9.9, and 10.3%, respectively. Mean phantom FFs derived by Methods 2 and 3 were comparable to the known FF for each phantom. Method 1 underestimated phantom FF.
CONCLUSION: Methods 2 and 3 accurately assess FF. Strong reproducibility across magnet type and strength render them suitable for use in multicenter trials and longitudinal assessments.
Copyright © 2012 Wiley Periodicals, Inc.

Mesh:

Year:  2012        PMID: 23172799     DOI: 10.1002/jmri.23928

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


  35 in total

1.  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 2.  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

3.  Accuracy of multiecho magnitude-based MRI (M-MRI) for estimation of hepatic proton density fat fraction (PDFF) in children.

Authors:  Kevin A Zand; Amol Shah; Elhamy Heba; Tanya Wolfson; Gavin Hamilton; Jessica Lam; Joshua Chen; Jonathan C Hooker; Anthony C Gamst; Michael S Middleton; Jeffrey B Schwimmer; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2015-04-03       Impact factor: 4.813

4.  The PNPLA3 I148M variant is associated with transaminase elevations in type 2 diabetes patients treated with basal insulin peglispro.

Authors:  S Pillai; S Duvvuru; P Bhatnagar; W Foster; M Farmen; S Shankar; C Harris; E Bastyr; B Hoogwerf; A Haupt
Journal:  Pharmacogenomics J       Date:  2017-11-21       Impact factor: 3.550

5.  Fat fraction mapping using magnetic resonance imaging: insight into pathophysiology.

Authors:  Timothy Jp Bray; Manil D Chouhan; Shonit Punwani; Alan Bainbridge; Margaret A Hall-Craggs
Journal:  Br J Radiol       Date:  2017-11-21       Impact factor: 3.039

Review 6.  Linearity, Bias, and Precision of Hepatic Proton Density Fat Fraction Measurements by Using MR Imaging: A Meta-Analysis.

Authors:  Takeshi Yokoo; Suraj D Serai; Ali Pirasteh; Mustafa R Bashir; Gavin Hamilton; Diego Hernando; Houchun H Hu; Holger Hetterich; Jens-Peter Kühn; Guido M Kukuk; Rohit Loomba; Michael S Middleton; Nancy A Obuchowski; Ji Soo Song; An Tang; Xinhuai Wu; Scott B Reeder; Claude B Sirlin
Journal:  Radiology       Date:  2017-09-11       Impact factor: 11.105

7.  Multisite, multivendor validation of the accuracy and reproducibility of proton-density fat-fraction quantification at 1.5T and 3T using a fat-water phantom.

Authors:  Diego Hernando; Samir D Sharma; Mounes Aliyari Ghasabeh; Bret D Alvis; Sandeep S Arora; Gavin Hamilton; Li Pan; Jean M Shaffer; Keitaro Sofue; Nikolaus M Szeverenyi; E Brian Welch; Qing Yuan; Mustafa R Bashir; Ihab R Kamel; Mark J Rice; Claude B Sirlin; Takeshi Yokoo; Scott B Reeder
Journal:  Magn Reson Med       Date:  2016-04-15       Impact factor: 4.668

8.  Diurnal Variation of Proton Density Fat Fraction in the Liver Using Quantitative Chemical Shift Encoded MRI.

Authors:  Timothy J Colgan; Andrew J Van Pay; Samir D Sharma; Lu Mao; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2019-06-06       Impact factor: 4.813

Review 9.  Evidence and recommendations for imaging liver fat in children, based on systematic review.

Authors:  Hannah I Awai; Kimberly P Newton; Claude B Sirlin; Cynthia Behling; Jeffrey B Schwimmer
Journal:  Clin Gastroenterol Hepatol       Date:  2013-09-30       Impact factor: 11.382

10.  Sebelipase alfa over 52 weeks reduces serum transaminases, liver volume and improves serum lipids in patients with lysosomal acid lipase deficiency.

Authors:  Vassili Valayannopoulos; Vera Malinova; Tomas Honzík; Manisha Balwani; Catherine Breen; Patrick B Deegan; Gregory M Enns; Simon A Jones; John P Kane; Eveline O Stock; Radhika Tripuraneni; Stephen Eckert; Eugene Schneider; Gavin Hamilton; Michael S Middleton; Claude Sirlin; Bruce Kessler; Christopher Bourdon; Simeon A Boyadjiev; Reena Sharma; Chris Twelves; Chester B Whitley; Anthony G Quinn
Journal:  J Hepatol       Date:  2014-06-30       Impact factor: 25.083

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