Literature DB >> 27249363

Test-retest reliability of rapid whole body and compartmental fat volume quantification on a widebore 3T MR system in normal-weight, overweight, and obese subjects.

David Newman1, Christian Kelly-Morland1, Olof Dahlqvist Leinhard2,3,4, Bahman Kasmai1, Richard Greenwood1, Paul N Malcolm1, Thobias Romu2,4,5, Magnus Borga2,4,5, Andoni P Toms1.   

Abstract

PURPOSE: To measure the test-retest reliability of rapid (<15 min) whole body and visceral fat volume quantification in normal and obese subjects on a widebore 3T MR system and compare it with conventional manual segmentation.
MATERIALS AND METHODS: Thirty participants (body mass index [BMI] 20.1-48.6 kg/m2 ) underwent two whole-body magnetic resonance imaging (MRI) examinations on a widebore 3T machine using a 2-point Dixon technique. Phase sensitive reconstruction and intensity inhomogeneity correction produced quantitative datasets of total adipose tissue (TAT), abdominal subcutaneous adipose tissue (ASAT), and visceral adipose tissue (VAT). The quantification was performed automatically using nonrigid atlas-based segmentation and compared with manual segmentation (SliceOmatic).
RESULTS: The mean TAT was 31.74 L with a coefficient of variation (CV) of 0.79% and a coefficient of repeatability (CR) of 0.49 L. The ASAT was 7.92 L with a CV of 2.98% and a CR of 0.46 L. There was no significant difference in the semiautomated and manually segmented VAT (P = 0.73) but there were differences in the reliability of the two techniques. The mean semiautomated VAT was 2.56 L, CV 1.8%, and CR 0.09 L compared to the mean manually segmented VAT of 3.12 L, where the CV was 6.3% and the CR was 0.39 L.
CONCLUSION: Rapid semiautomated whole body and compartmental fat volume quantification can be derived from a widebore 3T system, for a range of body sizes including obese patients, with "almost perfect" test-retest reliability. J. Magn. Reson. Imaging 2016;44:1464-1473.
© 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MRI; adipose; manual segmentation; reliability; semiautomated quantification; visceral adipose

Mesh:

Year:  2016        PMID: 27249363     DOI: 10.1002/jmri.25326

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  5 in total

Review 1.  MRI adipose tissue and muscle composition analysis-a review of automation techniques.

Authors:  Magnus Borga
Journal:  Br J Radiol       Date:  2018-07-24       Impact factor: 3.039

2.  Measuring liver fat fraction with complex-based chemical shift MRI: the effect of simplified sampling protocols on accuracy.

Authors:  Alexander J Procter; Julia Y Sun; Paul N Malcolm; Andoni P Toms
Journal:  BMC Med Imaging       Date:  2019-02-08       Impact factor: 1.930

3.  Precision of MRI-based body composition measurements of postmenopausal women.

Authors:  Janne West; Thobias Romu; Sofia Thorell; Hanna Lindblom; Emilia Berin; Anna-Clara Spetz Holm; Lotta Lindh Åstrand; Anette Karlsson; Magnus Borga; Mats Hammar; Olof Dahlqvist Leinhard
Journal:  PLoS One       Date:  2018-02-07       Impact factor: 3.240

Review 4.  Advanced body composition assessment: from body mass index to body composition profiling.

Authors:  Magnus Borga; Janne West; Jimmy D Bell; Nicholas C Harvey; Thobias Romu; Steven B Heymsfield; Olof Dahlqvist Leinhard
Journal:  J Investig Med       Date:  2018-03-25       Impact factor: 2.895

5.  Reproducibility of semiautomated body composition segmentation of abdominal computed tomography: a multiobserver study.

Authors:  Lisa Jannicke Kjønigsen; Magnus Harneshaug; Ann-Monica Fløtten; Lena Korsmo Karterud; Kent Petterson; Grethe Skjolde; Heidi B Eggesbø; Harald Weedon-Fekjær; Hege Berg Henriksen; Peter M Lauritzen
Journal:  Eur Radiol Exp       Date:  2019-10-30
  5 in total

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