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Clinical Trial
. 2007 Feb;102(2):748-54.
doi: 10.1152/japplphysiol.00304.2006. Epub 2006 Oct 19.

Estimating whole body intermuscular adipose tissue from single cross-sectional magnetic resonance images

Affiliations
Clinical Trial

Estimating whole body intermuscular adipose tissue from single cross-sectional magnetic resonance images

Xiang Yan Ruan et al. J Appl Physiol (1985). 2007 Feb.

Abstract

Intermuscular adipose tissue (IMAT), a novel fat depot linked with metabolic abnormalities, has been measured by whole body MRI. The cross-sectional slice location with the strongest relation to total body IMAT volume has not been established. The aim was to determine the predictive value of each slice location and which slice locations provide the best estimates of whole body IMAT. MRI quantified total adipose tissue of which IMAT, defined as adipose tissue visible within the boundary of the muscle fascia, is a subcomponent. Single-slice IMAT areas were calculated for the calf, thigh, buttock, waist, shoulders, upper arm, and forearm locations in a sample of healthy adult women, African-American [n = 39; body mass index (BMI) 28.5 +/- 5.4 kg/m2; 41.8 +/- 14.8 yr], Asian (n = 21; BMI 21.6 +/- 3.2 kg/m2; 40.9 +/- 16.3 yr), and Caucasian (n = 43; BMI 25.6 +/- 5.3 kg/m2; 43.2 +/- 15.3 yr), and Caucasian men (n = 39; BMI 27.1 +/- 3.8 kg/m2; 45.2 +/- 14.6 yr) and used to estimate total IMAT groups using multiple-regression equations. Midthigh was the best, or near best, single predictor in all groups with adjusted R2 ranging from 0.49 to 0.84. Adding a second and third slice further increased R2 and reduced the error of the estimate. Menopausal status and degree of obesity did not affect the location of the best single slice. The contributions of other slice locations varied by sex and race, but additional slices improved predictions. For group studies, it may be more cost-effective to estimate IMAT based on one or more slices than to acquire and segment for each subject the numerous images necessary to quantify whole body IMAT.

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Conflict of interest statement

DISCLOSURES

Each author declared that she or he has no conflict of financial or personal interests in any company or organization sponsoring this study.

Figures

Fig. 1
Fig. 1
Cross-sectional images from the midthigh in a female participant (age 72 yr). Top: MRI gray scale image; bottom: corresponding analyzed images. Pink, intermuscular adipose tissue; red, skeletal muscle; green, subcutaneous adipose tissue.
Fig. 2
Fig. 2
Total body intermuscular adipose tissue (IMAT) predicted from a single IMAT slice shown in relation to IMAT (in liters). Linear regression lines are shown for Caucasian women (long dashed line), African-American women (short dashed line), Asian women (thick solid line), and Caucasian men (thin solid line). All slopes were significantly difference from zero (P < 0.05). All intercepts were significantly difference from zero (P < 0.01). *, Caucasian women: IMAT = 0.38 + 15.5 × midthigh IMAT [SE of the estimate (SEE) = 0.29 liter, adjusted R2 = 0.73, n = 43]. □, African-American women: IMAT = 0.53 + 10.4 × midthigh IMAT (SEE = 0.36 liter, adjusted R2 = 0.74, n = 39). △, Asian women: IMAT = 0.67 + 160.2 × midcalf IMAT (SEE = 0.27 liter, adjusted R2 = 0.49, n = 21). ●, Caucasian men: IMAT = 0.27 + 13.8 × midthigh IMAT (SEE = 0.21 liter, adjusted R2 = 0.84, n = 39).

References

    1. Albu JB, Kovera AJ, Allen L, Wainwright M, Berk E, Raja-Khan N, Janumala I, Burkey B, Heshka S, Gallagher D. Independent association of insulin resistance with larger amounts of intermuscular adipose tissue and a greater acute insulin response to glucose in African American than in white nondiabetic women. Am J Clin Nutr. 2005;82:1210–1217. - PMC - PubMed
    1. Allison DB, Allison RL, Faith MS, Paultre F, Pi-Sunyer FX. Power and money: designing statistically powerful studies while minimizing financial costs. Psychol Med. 1997;2:20–33.
    1. Bacha F, Saad R, Gungor N, Janosky J, Arslanian SA. Obesity, regional fat distribution, and syndrome X in obese black versus white adolescents: race differential in diabetogenic and atherogenic risk factors. J Clin Endocrinol Metab. 2003;88:2534–2540. - PubMed
    1. Ding J, Visser M, Kritchevsky SB, Nevitt M, Newman A, Sutton-Tyrrell K, Harris TB. The association of regional fat depots with hypertension in older persons of white and African American ethnicity. Am J Hypertens. 2004;17:971–976. - PubMed
    1. Dokras A, Bochner M, Hollinrake E, Markham S, Vanvoorhis B, Jagasia DH. Screening women with polycystic ovary syndrome for metabolic syndrome. Obstet Gynecol. 2005;106:131–137. - PubMed

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