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PMID: 7840063 Published · ppublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Measurement of abdominal and visceral fat with computed tomography and dual-energy x-ray absorptiometry.

The American journal of clinical nutrition ·Vol. 61 ·No. 2 ·1995-02-00 ·Pages 274-8

Jensen MD, Kanaley JA, Reed JE, Sheedy PF

Abstract

These studies were undertaken to compare dual-energy x-ray absorptiometry (DXA) and computed tomography (CT) measurements of abdominal fat and to determine whether anthropometry could be combined with DXA to predict intraabdominal (visceral) fat mass in humans. Twenty-one volunteers underwent abdominal CT scans, DXA, and anthropometry. DXA- and CT-measured total abdominal fat were similar (8448 +/- 5005 and 8066 +/- 5354 mL, respectively; NS) and were highly correlated (r = 0.985, P < 0.001). The combination of anthropometry and DXA was a suboptimal predictor of CT-measured intraabdominal fat (r = 0.61, P < 0.05); however, the combination of a single CT slice (to assess the ratio of intraabdominal to total abdominal adipose tissue) and DXA-measured abdominal fat was an excellent predictor of CT-measured intraabdominal fat (r = 0.98, P < 0.001). We conclude that a single-slice CT scan (or other imaging technique) with or without DXA is required for accurate predictions of intraabdominal fat.

MeSH Terms
Absorptiometry, Photon Adipose Tissue/diagnostic imaging Adult Anthropometry Female Humans Male Middle Aged Predictive Value of Tests Radiography, Abdominal Tomography, X-Ray Computed
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Jensen M D
Endocrine Research Unit, Mayo Clinic, Rochester, MN 55905.
Kanaley J A
Reed J E
Sheedy P F
Article Info
Journal
The American journal of clinical nutrition
Abbr.
Am J Clin Nutr
ISSN
0002-9165
Published
1995-02-00
Pages
274-8
Language
English
Region
United States
NLM ID
0376027
Subset
IM
Grants
NIDDK NIH HHS · DK-40484 · United States
NIDDK NIH HHS · DK-45434 · United States
NCRR NIH HHS · RR-00585 · United States
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