Literature DB >> 1609764

Validation of the in vivo measurement of adipose tissue by magnetic resonance imaging of lean and obese pigs.

P A Fowler1, M F Fuller, C A Glasbey, G G Cameron, M A Foster.   

Abstract

In vivo quantification of adipose tissue with magnetic resonance imaging (MRI) was validated with pigs. Thirteen transaxial MRI sections were collected, at intervals proportional to body length, from each pig, which was then killed, frozen, and sliced at the locations of the MRI sections. Adipose-tissue quantities were determined by dissecting each slice, and lipid contents of the dissected slices and of the tissue segments between slices were measured. Compared with dissection, MRI underestimated abdominal percent adipose tissue and overestimated cervical percent adipose tissue by less than 6%. When all 13 sections were used, MRI closely predicted percent lipid and dissected percent adipose tissue with small residual SDs (RSD = 1.9 and 2.1, respectively), which increased only slightly if two sections (4, upper thorax and 8, upper abdomen) were used (RSD = 2.3 and 2.6, respectively). In conclusion MRI accurately quantifies adipose tissue in vivo, matching values produced by dissection and chemical analysis.

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Year:  1992        PMID: 1609764     DOI: 10.1093/ajcn/56.1.7

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


  10 in total

1.  Quantitative comparison and evaluation of software packages for assessment of abdominal adipose tissue distribution by magnetic resonance imaging.

Authors:  S Bonekamp; P Ghosh; S Crawford; S F Solga; A Horska; F L Brancati; A M Diehl; S Smith; J M Clark
Journal:  Int J Obes (Lond)       Date:  2007-08-14       Impact factor: 5.095

Review 2.  The multidomain mobility lab in older persons: from bench to bedside. The assessment of body composition in older persons at risk of mobility limitations.

Authors:  Andrea P Rossi; Tamara B Harris; Francesco Fantin; Fabio Armellini; Mauro Zamboni
Journal:  Curr Pharm Des       Date:  2014       Impact factor: 3.116

3.  Automatic intra-subject registration-based segmentation of abdominal fat from water-fat MRI.

Authors:  Anand A Joshi; Houchun H Hu; Richard M Leahy; Michael I Goran; Krishna S Nayak
Journal:  J Magn Reson Imaging       Date:  2012-09-25       Impact factor: 4.813

4.  Body composition in preterm infants: a systematic review on measurement methods.

Authors:  Dana F J Yumani; Dide de Jongh; Johannes C F Ket; Harrie N Lafeber; Mirjam M van Weissenbruch
Journal:  Pediatr Res       Date:  2022-08-22       Impact factor: 3.953

Review 5.  Segmentation and quantification of adipose tissue by magnetic resonance imaging.

Authors:  Houchun Harry Hu; Jun Chen; Wei Shen
Journal:  MAGMA       Date:  2015-09-04       Impact factor: 2.310

6.  Novel measurements of periaortic adipose tissue in comparison to anthropometric measures of obesity, and abdominal adipose tissue.

Authors:  C L Schlett; J M Massaro; S J Lehman; F Bamberg; C J O'Donnell; C S Fox; U Hoffmann
Journal:  Int J Obes (Lond)       Date:  2009-01-13       Impact factor: 5.095

7.  In vivo MRI quantification of individual muscle and organ volumes for assessment of anabolic steroid growth effects.

Authors:  Ed X Wu; Haiying Tang; Christopher Tong; Steve B Heymsfield; Joseph R Vasselli
Journal:  Steroids       Date:  2007-12-23       Impact factor: 2.668

8.  In vivo MRI evaluation of anabolic steroid precursor growth effects in a guinea pig model.

Authors:  Haiying Tang; Joseph R Vasselli; Christopher Tong; Steven B Heymsfield; Ed X Wu
Journal:  Steroids       Date:  2009-03-20       Impact factor: 2.668

9.  Fast and reproducible method for the direct quantitation of adipose tissue in newborn infants.

Authors:  T A M Harrington; E L Thomas; N Modi; G Frost; G A Coutts; J D Bell
Journal:  Lipids       Date:  2002-01       Impact factor: 1.880

10.  Abdominal subcutaneous fat quantification in obese patients from limited field-of-view MRI data.

Authors:  Sophia Michel; Nicolas Linder; Tobias Eggebrecht; Alexander Schaudinn; Matthias Blüher; Arne Dietrich; Timm Denecke; Harald Busse
Journal:  Sci Rep       Date:  2020-11-04       Impact factor: 4.379

  10 in total

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