Comparison of methods for assessing abdominal adipose tissue from magnetic resonance images

Hassan Arif, Susan B. Racette, Dennis T. Villareal, John O. Holloszy, Edward P. Weiss

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Objective: To compare the inter-rater and intra-rater reliability and analysis time of two methods for quantifying visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) volumes from magnetic resonance (MR) images. Research Methods and Procedures: Ten subjects (BMI, 27.0 ± 2.1 kg/m 2; 56 years of age ± 4 years) underwent MR imaging of the abdomen. Ten transverse T1-weighted images were selected from each scan and analyzed using two software packages that differ in principle. The first method, ANALYZE version 5.0, represents the manual threshold method, and the second, HIPPO version 1.3, is based on the fuzzy clustering approach. Inter-rater reliability for each method was assessed by comparing the intraclass correlation coefficients (ICCs) for VAT and SAT results from two evaluators, and intra-rater reliability for each method was assessed by comparing ICCs for VAT and SAT analyses performed 1 week apart by the same evaluator. The total time for analysis also was compared between methods. Results: The inter-rater reliability for VAT was greater with HIPPO than with ANALYZE (ICC = 0.996 vs. 0.828), whereas inter-rater reliability for SAT did not differ between methods (ICC = 0.975 and 0.987). The intra-rater reliability was equally high with HIPPO and ANALYZE for both VAT (ICC = 0.998 vs. 0.992) and SAT (ICC = 0.996 vs. 0.992). HIPPO required less than one-half as much analysis time as ANALYZE (15.9 ± 4.4 vs. 36.5 ± 8.2 minutes, p < 0.0001). Discussion: HIPPO software appears advantageous for the quantification of VAT from multislice MR images because inter-rater results are more reliable, and it is more time-efficient than less automated methods.

Original languageEnglish
Pages (from-to)2240-2244
Number of pages5
JournalObesity
Volume15
Issue number9
DOIs
StatePublished - 2007

Keywords

  • Abdominal obesity
  • Adipose
  • Adipose tissue
  • Body fat distribution
  • Central obesity

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