Literature DB >> 9650896

Imaging techniques for measuring adipose-tissue distribution in the abdomen: a comparison between computed tomography and 1.5-tesla magnetic resonance spin-echo imaging.

F Ohsuzu1, S Kosuda, E Takayama, S Yanagida, M Nomi, H Kasamatsu, S Kusano, H Nakamura.   

Abstract

Eight subjects were examined both by abdominal X-ray computed transverse axial tomography (CT) and magnetic resonance imaging (MRI) (SE) (TR/TE, 200 ms/15 ms); another eight volunteers were subjected to three MRI scans to test the reliability of repeated measures. Correlations between fat area measures obtained by CT and by MRI for subcutaneous fat, total fat, and visceral vs. subcutaneous-fat ratio were highly significant (r = 0.93, 0.91, and 0.94, respectively; p < 0.01), and the standard errors of estimation were 9.99, 23.87, and 0.0047. The average errors of the method for different fat areas were 2.20 cm2 (intra-examination variance) and 3.75 cm2 (inter-examination variance) for visceral and 0.82 cm2 (intra-examination variance) and 1.29 cm2 (inter-examination variance) for subcutaneous fat areas, respectively. These results suggest that SE MRI is a practical approach to evaluate body fat distribution without the exposure to radiation. The reproducibility of SE MRI for the determination of fat areas is high; variation is small and acceptable. However, it is difficult to determine which estimate of fat area should be accepted when there is a discrepancy between MRI and CT measures.

Mesh:

Year:  1998        PMID: 9650896

Source DB:  PubMed          Journal:  Radiat Med        ISSN: 0288-2043


  7 in total

1.  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

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.  Visceral adipose tissue area measurement at a single level: can it represent visceral adipose tissue volume?

Authors:  Yusuke Noumura; Tamotsu Kamishima; Kenneth Sutherland; Hideho Nishimura
Journal:  Br J Radiol       Date:  2017-07-14       Impact factor: 3.039

4.  Abdominal adiposity in rheumatoid arthritis: association with cardiometabolic risk factors and disease characteristics.

Authors:  Jon T Giles; Matthew Allison; Roger S Blumenthal; Wendy Post; Allan C Gelber; Michelle Petri; Russell Tracy; Moyses Szklo; Joan M Bathon
Journal:  Arthritis Rheum       Date:  2010-11

5.  Validation of a semi-automated technique to accurately measure abdominal fat distribution using CT and MRI for clinical risk stratification.

Authors:  Mohammed A Waduud; Amal Sharaf; Iain Roy; Rosario Lopez-Gonzalez; Andrew Hart; David McGill; Giles Roditi; John Biddlestone
Journal:  Br J Radiol       Date:  2017-01-05       Impact factor: 3.039

6.  Abdominal adiposity distribution in diabetic/prediabetic and nondiabetic populations: a meta-analysis.

Authors:  Jane J Lee; S Natasha Beretvas; Jeanne H Freeland-Graves
Journal:  J Obes       Date:  2014-11-26

7.  Pelvic MRI and CT images are interchangeable for measuring peripouch fat.

Authors:  Xian Hua Gao; Nan Lan; Hanumant Chouhan; Luca Stocchi; Erick Remer; Bo Shen
Journal:  Sci Rep       Date:  2017-09-29       Impact factor: 4.379

  7 in total

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