Literature DB >> 2349931

Imaging techniques for measuring adipose-tissue distribution--a comparison between computed tomography and 1.5-T magnetic resonance.

J C Seidell1, C J Bakker, K van der Kooy.   

Abstract

We developed a method for calculating adipose-tissue areas from transverse body scans by magnetic-resonance imaging (MRI). The method is based on an inversion recovery experiment (repetition time 820 ms, inversion delay time 300 ms, and echo time 20 ms). Total-fat areas and subcutaneous-fat areas were calculated by this method and by computed tomography (CT) from abdominal scans taken in seven male volunteers. The SEE ranged from 4.4 cm2 (CV 4.4%) for subcutaneous-fat areas to 8.3 cm2 (CV 12.8%) for visceral-fat areas. The reproducibility of measuring fat areas with MRI was assessed in seven other volunteers (four males, three females). The average errors of the method for different fat areas were 5.4%, 10.6%, and 10.1% for total-, visceral-, and subcutaneous-fat areas, respectively. We conclude that CT and MRI may yield different absolute values of fat areas (especially visceral fat) but that the ranking of individuals on the basis of their fat areas will be similar by both methods.

Mesh:

Year:  1990        PMID: 2349931     DOI: 10.1093/ajcn/51.6.953

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  78 in total

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Review 3.  Adipose tissue quantification by imaging methods: a proposed classification.

Authors:  Wei Shen; ZiMian Wang; Mark Punyanita; Jianbo Lei; Ahmet Sinav; John G Kral; Celina Imielinska; Robert Ross; Steven B Heymsfield
Journal:  Obes Res       Date:  2003-01

4.  Comparison of 3 T MRI and CT for the measurement of visceral and subcutaneous adipose tissue in humans.

Authors:  B J Klopfenstein; M S Kim; C M Krisky; J Szumowski; W D Rooney; J Q Purnell
Journal:  Br J Radiol       Date:  2012-04-18       Impact factor: 3.039

5.  Correlations between quantitative fat-water magnetic resonance imaging and computed tomography in human subcutaneous white adipose tissue.

Authors:  Aliya Gifford; Ronald C Walker; Theodore F Towse; E Brian Welch
Journal:  J Med Imaging (Bellingham)       Date:  2015-12-18

6.  The reliability of a segmentation methodology for assessing intramuscular adipose tissue and other soft-tissue compartments of lower leg MRI images.

Authors:  Sarah Karampatos; Alexandra Papaioannou; Karen A Beattie; Monica R Maly; Adrian Chan; Jonathan D Adachi; Janet M Pritchard
Journal:  MAGMA       Date:  2015-12-24       Impact factor: 2.310

7.  What is the Importance of Body Composition in Obesity-related Depression?

Authors:  Ulkuhan Iner Koksal; Zeynep Erturk; Ali Riza Koksal; Ekmel Burak Ozsenel; Ozlem Harmankaya Kaptanogullari
Journal:  Eurasian J Med       Date:  2017-04-28

8.  Evaluation of the technical difficulty performing laparoscopic resection of a rectosigmoid carcinoma: visceral fat reflects technical difficulty more accurately than body mass index.

Authors:  Y Seki; M Ohue; M Sekimoto; S Takiguchi; I Takemasa; M Ikeda; H Yamamoto; M Monden
Journal:  Surg Endosc       Date:  2007-02-07       Impact factor: 4.584

9.  HIV-associated lipodystrophy syndrome: A review of clinical aspects.

Authors:  Jean-Guy Baril; Patrice Junod; Roger Leblanc; Harold Dion; Rachel Therrien; Franãois Laplante; Julian Falutz; Pierre Côté; Marie-Nicole Hébert; Richard Lalonde; Normand Lapointe; Dominic Lévesque; Lyse Pinault; Danielle Rouleau; Cécile Tremblay; Benoãt Trottier; Sylvie Trottier; Chris Tsoukas; Karl Weiss
Journal:  Can J Infect Dis Med Microbiol       Date:  2005-07       Impact factor: 2.471

Review 10.  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

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