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American Journal of Clinical Nutrition, Vol. 80, No. 2, 271-278, August 2004
© 2004 American Society for Clinical Nutrition


ORIGINAL RESEARCH COMMUNICATION

Visceral adipose tissue: relations between single-slice areas and total volume1,2,3

Wei Shen, Mark Punyanitya, ZiMian Wang, Dympna Gallagher, Marie-Pierre St-Onge, Jeanine Albu, Steven B Heymsfield and Stanley Heshka

1 From the Obesity Research Center, St Luke's-Roosevelt Hospital, and the Institute of Human Nutrition, Columbia University, College of Physicians and Surgeons, New York

Background: Visceral adipose tissue (VAT), which is linked with the metabolic consequences of obesity, is usually characterized by measuring VAT area at the L4–L5 vertebral interspace. However, the location of the slice with the strongest relation to VAT volume is not established.

Objective: We sought to investigate the relations between cross-sectional VAT areas at different anatomic locations and VAT volume in a large, diverse sample of healthy subjects.

Design: VAT volume was derived from slice areas taken at 5-cm intervals from magnetic resonance images in 121 healthy men [ ± SD age: 41.9 ± 15.8 y; body mass index (BMI; in kg/m2): 26.0 ± 3.2; VAT: 2.7 ± 1.8 L] and 198 healthy women (age: 48.1 ± 18.7 y; BMI: 27.0 ± 5.4; VAT: 1.7 ± 1.2 L). Regression models were developed to identify the best single slice for estimating VAT volume.

Results: The VAT area 10 cm above L4–L5 (A+10) in men (R2 = 0.932, P < 0.001) and 5 cm above L4–L5 (A+5) in women (R2 = 0.945, P < 0.001) had the highest correlation with abdominal VAT. R2 increased by only 3.8% in men and 0.5% in women with adjustment for age, race, scanning position, BMI, and waist circumference. Studies using A+10 in men and A+5 in women will require 14% and 9% fewer subjects, respectively, than those using slices at L4–L5 and will have equivalent power.

Conclusion: Measurement of slice areas at A+10 in men and A+5 in women provides greater power for the detection of VAT volume differences than does measurement at L4–L5.

Key Words: Volume prediction • magnetic resonance imaging • computed tomography • body composition • L4–L5




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