Literature DB >> 7997107

Quantitation of lipid in biological tissue by chemical shift magnetic resonance imaging.

W F Wong1, S R Northrup, R C Herrick, A P Glombicki, R P Wood, J D Morrisett.   

Abstract

A method combining several previously used approaches is described for the rapid, accurate quantitation of the fat content of biological tissue based on chemical shift images (CSI) corrected for magnetic field inhomogeneity, and compensated for T1 and T2 effects. The gravimetrically determined lipid content of fatty tissues (pork fat, rabbit and human liver) that had been differentially depleted of lipid by chloroform extraction correlated well (r = 0.99) with the lipid image intensities of the respective tissues. This multi-point CSI method was used to quantitate lipid in fresh fatty human liver tissue (wet and dry) containing varying amounts of lipid. Plots of integrated lipid intensity versus tissue lipid content gave straight parallel lines for hydrated (r = 0.94) and dehydrated (r = 0.98) tissues, permitting determination of a proportionality constant for measuring absolute amounts of lipid present in a specific biological tissue. These results suggest the feasibility of using the method in vivo for absolute quantitation of lipid in tissues of agricultural (e.g. pork, beef) and medical (e.g. human liver) interest.

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Year:  1994        PMID: 7997107     DOI: 10.1002/mrm.1910320403

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  8 in total

1.  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.

Authors:  Catherine D G Hines; Alex Frydrychowicz; Gavin Hamilton; Dana L Tudorascu; Karl K Vigen; Huanzhou Yu; Charles A McKenzie; Claude B Sirlin; Jean H Brittain; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2011-04       Impact factor: 4.813

2.  Identification of atherosclerotic lipid deposits by diffusion-weighted imaging.

Authors:  Ye Qiao; Itamar Ronen; Jason Viereck; Frederick L Ruberg; James A Hamilton
Journal:  Arterioscler Thromb Vasc Biol       Date:  2007-03-22       Impact factor: 8.311

3.  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

4.  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

5.  T1 independent, T2* corrected MRI with accurate spectral modeling for quantification of fat: validation in a fat-water-SPIO phantom.

Authors:  Catherine D G Hines; Huanzhou Yu; Ann Shimakawa; Charles A McKenzie; Jean H Brittain; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2009-11       Impact factor: 4.813

6.  Quantification of hepatic steatosis with MRI: the effects of accurate fat spectral modeling.

Authors:  Scott B Reeder; Philip M Robson; Huanzhou Yu; Ann Shimakawa; Catherine D G Hines; Charles A McKenzie; Jean H Brittain
Journal:  J Magn Reson Imaging       Date:  2009-06       Impact factor: 4.813

Review 7.  Advanced MRI methods for assessment of chronic liver disease.

Authors:  Bachir Taouli; Richard L Ehman; Scott B Reeder
Journal:  AJR Am J Roentgenol       Date:  2009-07       Impact factor: 3.959

8.  Quantification of hepatic steatosis with 3-T MR imaging: validation in ob/ob mice.

Authors:  Catherine D G Hines; Huanzhou Yu; Ann Shimakawa; Charles A McKenzie; Thomas F Warner; Jean H Brittain; Scott B Reeder
Journal:  Radiology       Date:  2010-01       Impact factor: 11.105

  8 in total

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