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Validity of a new automated software program for visceral adipose tissue estimation.
- Source :
-
International Journal of Obesity . Feb2007, Vol. 31 Issue 2, p285-291. 7p. 3 Charts, 4 Graphs. - Publication Year :
- 2007
-
Abstract
- Introduction:Given the considerable time and research cost of analyzing biomedical images to quantify adipose tissue volumes, automated image analysis methods are highly desirable. Hippo Fat™ is a new software program designed to automatically quantify adipose tissue areas from magnetic resonance images without user inputs. Hippo Fat™ has yet to be independently validated against commonly used image analysis software programs.Objective:Our aim was to compare estimates of VAT (visceral adipose tissue) and SAT (subcutaneous adipose tissue) using the new Hippo Fat™ software against those from a widely used, validated, computer-assisted manual method (slice-O-matic version 4.2, Tomovision, Montreal, CA, USA) to assess its potential utility for large-scale studies.Methods:A Siemens Magnetom Vision 1.5-T whole-body scanner and a T1-weighted fast-spin echo pulse sequence were used to collect multiple, contiguous axial images of the abdomen from a sample of 40 healthy adults (20 men) aged 18–77 years of age, with mean body mass index of 29 kg/m2 (range=19–43 kg/m2).Results:Hippo Fat™ provided estimates of VAT and SAT that were highly correlated with estimates using slice-O-matic (R 2>0.9). Average VAT was 9.4% lower and average SAT was 3.7% higher using Hippo Fat™ compared to slice-O-matic; the overestimation of SAT tended to be greater among individuals with greater adiposity. Individual-level differences for VAT were also substantial; Hippo Fat™ gave estimates of VAT ranging from 1184 cm3 less to 566 cm3 more than estimates for the same person using slice-O-matic.Conclusion:Hippo Fat™ provides a rapid method of quantifying total VAT, although the method does not provide estimates that are interchangeable with slice-O-matic at either the group (mean) or individual level.International Journal of Obesity (2007) 31, 285–291. doi:10.1038/sj.ijo.0803409; published online 13 June 2006 [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03070565
- Volume :
- 31
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- International Journal of Obesity
- Publication Type :
- Academic Journal
- Accession number :
- 23839718
- Full Text :
- https://doi.org/10.1038/sj.ijo.0803409