Short Communication

Evaluation of DXA vs. MRI for body composition measures in 1-month olds

Corresponding Author

D. A. Fields

CMRI Metabolic Research Program, the Harold Hamm Diabetes Center, Section of Endocrinology and Diabetes, Department of Pediatrics, University of Oklahoma Health Sciences, Oklahoma City, OK, USA

Address for correspondence: Dr David A Fields, CMRI Metabolic Research Program, Department of Pediatrics, University of Oklahoma Health Sciences, 1200 Children's Avenue Suite 4500, Oklahoma City, OK 73104. E-mail: [email protected]Search for more papers by this author

A. M. Teague,

A. M. Teague

CMRI Metabolic Research Program, the Harold Hamm Diabetes Center, Section of Endocrinology and Diabetes, Department of Pediatrics, University of Oklahoma Health Sciences, Oklahoma City, OK, USA

Search for more papers by this author

K. R. Short,

K. R. Short

CMRI Metabolic Research Program, the Harold Hamm Diabetes Center, Section of Endocrinology and Diabetes, Department of Pediatrics, University of Oklahoma Health Sciences, Oklahoma City, OK, USA

Search for more papers by this author

S. D. Chernausek,

S. D. Chernausek

CMRI Metabolic Research Program, the Harold Hamm Diabetes Center, Section of Endocrinology and Diabetes, Department of Pediatrics, University of Oklahoma Health Sciences, Oklahoma City, OK, USA

Search for more papers by this author

D. A. Fields,

Corresponding Author

D. A. Fields

CMRI Metabolic Research Program, the Harold Hamm Diabetes Center, Section of Endocrinology and Diabetes, Department of Pediatrics, University of Oklahoma Health Sciences, Oklahoma City, OK, USA

A. M. Teague,

A. M. Teague

CMRI Metabolic Research Program, the Harold Hamm Diabetes Center, Section of Endocrinology and Diabetes, Department of Pediatrics, University of Oklahoma Health Sciences, Oklahoma City, OK, USA

Search for more papers by this author

K. R. Short,

K. R. Short

CMRI Metabolic Research Program, the Harold Hamm Diabetes Center, Section of Endocrinology and Diabetes, Department of Pediatrics, University of Oklahoma Health Sciences, Oklahoma City, OK, USA

Search for more papers by this author

S. D. Chernausek,

S. D. Chernausek

CMRI Metabolic Research Program, the Harold Hamm Diabetes Center, Section of Endocrinology and Diabetes, Department of Pediatrics, University of Oklahoma Health Sciences, Oklahoma City, OK, USA

Search for more papers by this author

First published: 27 March 2015

https://doi.org/10.1111/ijpo.12021

Citations: 9

Share a link

Email
Wechat
Bluesky

Summary

Background

Detailed measures of infant body composition are needed for understanding the impact of genes and environment on growth early in life.

Objective

The purpose of this study was to compare the accuracy and bias of body composition in infants.

Methods

Dual energy X-ray absorptiometry (DXA) and magnetic resonance imaging (MRI) were used to determine body composition and the trunk depot. The depots measured were total fat mass (FM), total fat-free mass (FFM) and trunk FM and FFM using DXA and MRI in 14 infants.

Results

None of the regression lines between DXA and MRI significantly deviate from the line of identity for any of the depots studied. However, Bland–Altman analyses revealed bias for trunk FM and trunk FFM.

Conclusion

Our data showed DXA to be accurate (regression not significantly deviating from the line of identity), with high agreement (indicated by high R²) and without bias (non-significant Bland–Altman) when estimating total FM and FFM. This could not be said for trunk estimates.

References

1Mei Z, Ogden CL, Flegal KM, Grummer-Strawn LM. Comparison of the prevalence of shortness, underweight, and overweight among US children aged 0 to 59 months by using the CDC 2000 and the WHO 2006 growth charts. J Pediatr 2008; 153: 622–628.
10.1016/j.jpeds.2008.05.048
PubMed Web of Science® Google Scholar
2Reilly JJ. Obesity in childhood and adolescence: evidence based clinical and public health perspectives. Postgrad Med J 2006; 82: 429–437.
10.1136/pgmj.2005.043836
CAS PubMed Web of Science® Google Scholar
3 CDC: AAP, APHA, NCR for health and safety in child care and early education. CDC (ed.) 2009, pp. 1–26.
Google Scholar
4Mitsiopoulos N, Baumgartner RN, Heymsfield SB, Lyons W, Gallagher D, Ross R. Cadaver validation of skeletal muscle measurement by magnetic resonance imaging and computerized tomography. J Appl Physiol 1998; 85: 115–122.
10.1152/jappl.1998.85.1.115
CAS PubMed Web of Science® Google Scholar
5Fields DA, Demerath EW, Pietrobelli A, Chandler-Laney PC. Body composition at 6 months of life: comparison of air-displacement plethysmography and dual energy X-ray absorptiometry. Obesity (Silver Spring) 2012; 20: 2302–2306.
10.1038/oby.2012.102
PubMed Web of Science® Google Scholar
6Olhager E, Flinke E, Hannerstad U, Forsum E. Studies on human body composition during the first 4 months of life using magnetic resonance imaging and isotope dilution. Pediatr Res 2003; 54: 906–912.
10.1203/01.PDR.0000088064.63106.5E
PubMed Web of Science® Google Scholar
7Olhager E, Thuomas KA, Wigstrom L, Forsum E. Description and evaluation of a method based on magnetic resonance imaging to estimate adipose tissue volume and total body fat in infants. Pediatr Res 1998; 44: 572–577.
10.1203/00006450-199810000-00017
CAS PubMed Web of Science® Google Scholar
8Kovanlikaya A, Mittelman SD, Ward A, Geffner ME, Dorey F, Gilsanz V. Obesity and fat quantification in lean tissues using three-point Dixon MR imaging. Pediatr Radiol 2005; 35: 601–607.
10.1007/s00247-005-1413-y
PubMed Web of Science® Google Scholar
9Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 8: 307–310.
10.1016/S0140-6736(86)90837-8
Web of Science® Google Scholar
10Karlsson AK, Kullberg J, Stokland E, et al. Measurements of total and regional body composition in preschool children: a comparison of MRI, DXA, and anthropometric data. Obesity (Silver Spring) 2013; 21: 1018–1024.
10.1002/oby.20205
PubMed Web of Science® Google Scholar
11Micklesfield LK, Goedecke JH, Punyanitya M, Wilson KE, Kelly TL. Dual-energy X-ray performs as well as clinical computed tomography for the measurement of visceral fat. Obesity (Silver Spring) 2012; 20: 1109–1114.
10.1038/oby.2011.367
PubMed Web of Science® Google Scholar
12Ibanez L, Lopez-Bermejo A, Suarez L, Marcos MV, Diaz M, de Zegher F. Visceral adiposity without overweight in children born small for gestational age. J Clin Endocrinol Metab 2008; 93: 2079–2083.
10.1210/jc.2007-2850
CAS PubMed Web of Science® Google Scholar
13Goran MI, Nagy TR, Treuth MS, et al. Visceral fat in white and African American prepubertal children. Am J Clin Nutr 1997; 65: 1703–1708.
10.1093/ajcn/65.6.1703
CAS PubMed Web of Science® Google Scholar
14Asayama K, Dobashi K, Hayashibe H, et al. Threshold values of visceral fat measures and their anthropometric alternatives for metabolic derangement in Japanese obese boys. Int J Obes Relat Metab Disord 2002; 26: 208–213.
10.1038/sj.ijo.0801865
CAS PubMed Web of Science® Google Scholar

Citing Literature

Volume10, Issue5

October 2015

Pages e8-e10

Evaluation of DXA vs. MRI for body composition measures in 1-month olds

Summary

Background

Objective

Methods

Results

Conclusion

References

Citing Literature

References

Information

About Wiley Online Library

Help & Support

Opportunities

Connect with Wiley

Evaluation of DXA vs. MRI for body composition measures in 1-month olds

Summary

Background

Objective

Methods

Results

Conclusion

References

Citing Literature

References

Related

Information