Literature DB >> 11027874

Fast adipose tissue (FAT) assessment by MRI.

S A Gronemeyer1, R G Steen, W M Kauffman, W E Reddick, J O Glass.   

Abstract

We report a method of fast adipose tissue (FAT) assessment to characterize the quantity, and distribution of abdominal adipose tissue. Whole-volume coverage of the abdomen was obtained using 31 contiguous transverse T(1)-weighted images from 16 obese females. A radiologist manually traced all adipose tissue volumes in the images, while a physiologist used an automated method to measure adipose tissue in a single image at the level of the umbilicus. Automated analysis of the umbilicus-level image was significantly correlated with values obtained by manual analysis of the entire abdomen (p < 0. 001). There was good agreement between the automated umbilicus-level image method and the manual whole abdomen method for subcutaneous adipose tissue (r(2) = 0.958), visceral adipose tissue (r(2) = 0. 753), and total adipose tissue (r(2) = 0.941). The automated method required 6 min vs 2 h for the manual method.

Entities:  

Mesh:

Year:  2000        PMID: 11027874     DOI: 10.1016/s0730-725x(00)00168-5

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  20 in total

Review 1.  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

2.  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

3.  Technical evaluation of in vivo abdominal fat and IMCL quantification using MRI and MRSI at 3 T.

Authors:  Xiaojuan Li; Jack F Youngren; Ben Hyun; Giorgos K Sakkas; Kathleen Mulligan; Sharmila Majumdar; Umesh B Masharani; Morris Schambelan; Ira D Goldfine
Journal:  Magn Reson Imaging       Date:  2007-08-02       Impact factor: 2.546

Review 4.  Epicardial adipose tissue: far more than a fat depot.

Authors:  Andrew H Talman; Peter J Psaltis; James D Cameron; Ian T Meredith; Sujith K Seneviratne; Dennis T L Wong
Journal:  Cardiovasc Diagn Ther       Date:  2014-12

5.  Evaluation of portal venous velocity with Doppler ultrasound in patients with nonalcoholic fatty liver disease.

Authors:  Serife Ulusan; Tolga Yakar; Zafer Koc
Journal:  Korean J Radiol       Date:  2011-07-22       Impact factor: 3.500

6.  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

7.  Evaluation of adipose tissue distribution in obese fa/fa Zucker rats by in vivo MR imaging: effects of peroxisome proliferator-activated receptor agonists.

Authors:  R Fissoune; N Pellet; L Chaabane; F Contard; D Guerrier; A Briguet
Journal:  MAGMA       Date:  2004-12-28       Impact factor: 2.310

8.  Automated quantification of abdominal adiposity by magnetic resonance imaging.

Authors:  Jingjing Sun; Bugao Xu; Jeanne Freeland-Graves
Journal:  Am J Hum Biol       Date:  2016-04-28       Impact factor: 1.937

Review 9.  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

Review 10.  Epicardial adipose tissue as a metabolic transducer: role in heart failure and coronary artery disease.

Authors:  Vaibhav B Patel; Saumya Shah; Subodh Verma; Gavin Y Oudit
Journal:  Heart Fail Rev       Date:  2017-11       Impact factor: 4.214

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