期刊
INTERNATIONAL JOURNAL OF OBESITY
卷 31, 期 2, 页码 285-291出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/sj.ijo.0803409
关键词
visceral adipose tissue; subcutaneous adipose tissue; adiposity; magnetic resonance imaging; methods; measurement
资金
- NICHD NIH HHS [R01 HD012252, HD12252] Funding Source: Medline
- NIDDK NIH HHS [R01 DK064391, R01 DK064870, DK064870, F32 DK064482-03] Funding Source: Medline
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 (TM) is a new software program designed to automatically quantify adipose tissue areas from magnetic resonance images without user inputs. Hippo Fat (TM) 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 (TM) 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/m(2) (range = 19-43 kg/m(2)). Results: Hippo Fat (TM) 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 (TM) 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 (TM) gave estimates of VAT ranging from 1184 cm(3) less to 566 cm(3) more than estimates for the same person using slice-O-matic. Conclusion: Hippo Fat (TM) 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.
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