Radiology
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

Published online before print January 23, 2007, 10.1148/radiol.2423060111
This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
2423060111v1
242/3/846    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Siegel, M. J.
Right arrow Articles by White, N. H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Siegel, M. J.
Right arrow Articles by White, N. H.
(Radiology 2007;242:846-856.)
© RSNA, 2007

Pediatric Imaging

Total and Intraabdominal Fat Distribution in Preadolescents and Adolescents: Measurement with MR Imaging1

Marilyn J. Siegel, MD, Charles F. Hildebolt, DDS, PhD, Kyongtae T. Bae, MD, Cheng Hong, PhD, MD and Neil H. White, MD, CDE

1 From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St Louis, MO 63110 (M.J.S., C.F.H., K.T.B., C.H.); and Department of Pediatrics, Washington University School of Medicine, St Louis, Mo (N.H.W.). Received January 18, 2006; revision requested March 21; revision received April 18; accepted May 17; final version accepted July 13. Supported in part by Washington University General Clinical Research Committee (United States Public Health Service grant MO1 RR00036) and a grant from the Society for Pediatric Radiology. Address correspondence to M.J.S. (e-mail: siegelm{at}mir.wustl.edu).

Purpose: To prospectively correlate single- and multisection magnetic resonance (MR) imaging measurements with clinical measurements for assessment of abdominal adipose tissue volumes in healthy (control subjects), overweight, and diabetic overweight preadolescents and adolescents.

Materials and Methods: The study was approved by the institutional internal review board and was HIPAA compliant. Informed consent was obtained from parents, and assent was obtained from control subjects and patients. Thirty total study subjects (20 male, 10 female; age range, 10–18 years; mean, 14.5 years) underwent MR imaging, anthropometric measurement, and dual x-ray absorptiometry (DXA). A computer-assisted software program was used to quantify subcutaneous, visceral, and total abdominal adipose tissue volumes. Single-section measurements at disk space L4-L5 and whole-abdominal multisection measurements were compared, and each method was tested for correlations with anthropometric and DXA measurements with Spearman {rho} and Pearson correlation (r) coefficients. Single- and multisection image analyses required 5 and 25 minutes per subject, respectively.

Results: There was a high degree of correlation between single- and multisection MR imaging methods for measurement of subcutaneous (r = 0.97), visceral (r = 0.96), and total abdominal fat (r = 0.97). MR imaging fat measurements strongly correlated with anthropometric measurements ({rho} correlation range, 0.81–0.96; P ≤ .02), with overlapping 95% confidence intervals (CIs) for single- and multisection MR imaging correlations. MR imaging percentage of intraabdominal fat measurements (mean, 23%; 95% CI: 17%, 29%) highly correlated with DXA abdominal fat measurements (mean, 26%; 95% CI: 21%, 31%). Significant differences were found among healthy subjects, overweight patients, and diabetic overweight patients for total fat volumes (P < .001) but not for fat distribution patterns.

Conclusion: Single- and multisection MR imaging measurements for the quantitative assessment of abdominal adipose tissue strongly correlate with clinical and DXA fat measurements.

© RSNA, 2007




This article has been cited by other articles:


Home page
 Am. J. Clin. Nutr.Home page
J. A Morrison, C. J Glueck, P. S Horn, G. B Schreiber, and P. Wang
Pre-teen insulin resistance predicts weight gain, impaired fasting glucose, and type 2 diabetes at age 18-19 y: a 10-y prospective study of black and white girls
Am. J. Clinical Nutrition, September 1, 2008; 88(3): 778 - 788.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. Roentgenol.Home page
D. D. Brennan, P. F. Whelan, K. Robinson, O. Ghita, J. M. O'Brien, R. Sadleir, and S. J. Eustace
Reply
Am. J. Roentgenol., December 1, 2007; 189(6): W385 - W385.
[Full Text] [PDF]

Home page
 RadiologyHome page
G. Taylor
Good Fat, Bad Fat-Does Location Matter?
Radiology, March 1, 2007; 242(3): 645 - 646.
[Full Text] [PDF]