DXA-derived abdominal fat-free mass to predict MRI skeletal muscle mass in postmenopausal women

E. Walker; A. M. Chalke; V. L. Bland; K. E. Lind; Z. Chen; R. M. Blew; A. O. Odegaard; C. A. Thomson; B. Caan; J. S. Nicholas; C. I. Valencia; D. J. Roe; M. Allison; P. F. Schnatz; J. Wactawski-Wende; J. W. Bea

doi:10.1139/apnm-2024-0046

DXA-derived abdominal fat-free mass to predict MRI skeletal muscle mass in postmenopausal women

E. Walker, A. M. Chalke, V. L. Bland, K. E. Lind, Z. Chen, R. M. Blew, A. O. Odegaard, C. A. Thomson, B. Caan, J. S. Nicholas, C. I. Valencia, D. J. Roe, M. Allison, P. F. Schnatz, J. Wactawski-Wende, J. W. Bea

Research output: Contribution to journal › Article › peer-review

Abstract

Dual-energy X-ray absorptiometry (DXA) is more available than gold-standard magnetic resonance imaging (MRI), but DXA ability to estimate abdominal skeletal muscle mass (SMM) is unknown. DXA-derived abdominal fat-free mass (FFM; Hologic QDR2000 or QDR4500w) was correlated with single-slice MRI SMM at L4 (N = 69; r QDR2000 = 0.71, QDR4500w = 0.69; p < 0.0001). Linear regression to predict SMM, including DXA FFM, BMI, and age, resulted in an R-squared of 0.72 and 0.65 for QDR2000 and QDR4500. Bland-Altman limits of agreement were ±21 and ±31 g for 2–3 standard deviations from the mean difference. DXA predicted abdominal SSM is a moderate proxy for MRI abdominal SMM.

Original language	English (US)
Pages (from-to)	1606-1610
Number of pages	5
Journal	Applied Physiology, Nutrition and Metabolism
Volume	49
Issue number	11
DOIs	https://doi.org/10.1139/apnm-2024-0046
State	Published - Nov 2024

Keywords

abdominal muscle mass
absorptiometry
body composition
lean mass
magnetic resonance imaging
postmenopause

ASJC Scopus subject areas

Endocrinology, Diabetes and Metabolism
Physiology
Nutrition and Dietetics
Physiology (medical)

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10.1139/apnm-2024-0046

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Walker, E., Chalke, A. M., Bland, V. L., Lind, K. E., Chen, Z., Blew, R. M., Odegaard, A. O., Thomson, C. A., Caan, B., Nicholas, J. S., Valencia, C. I., Roe, D. J., Allison, M., Schnatz, P. F., Wactawski-Wende, J., & Bea, J. W. (2024). DXA-derived abdominal fat-free mass to predict MRI skeletal muscle mass in postmenopausal women. Applied Physiology, Nutrition and Metabolism, 49(11), 1606-1610. https://doi.org/10.1139/apnm-2024-0046

Walker, E, Chalke, AM, Bland, VL, Lind, KE , Chen, Z, Blew, RM, Odegaard, AO, Thomson, CA, Caan, B, Nicholas, JS, Valencia, CI, Roe, DJ, Allison, M, Schnatz, PF, Wactawski-Wende, J & Bea, JW 2024, 'DXA-derived abdominal fat-free mass to predict MRI skeletal muscle mass in postmenopausal women', Applied Physiology, Nutrition and Metabolism, vol. 49, no. 11, pp. 1606-1610. https://doi.org/10.1139/apnm-2024-0046

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title = "DXA-derived abdominal fat-free mass to predict MRI skeletal muscle mass in postmenopausal women",

abstract = "Dual-energy X-ray absorptiometry (DXA) is more available than gold-standard magnetic resonance imaging (MRI), but DXA ability to estimate abdominal skeletal muscle mass (SMM) is unknown. DXA-derived abdominal fat-free mass (FFM; Hologic QDR2000 or QDR4500w) was correlated with single-slice MRI SMM at L4 (N = 69; r QDR2000 = 0.71, QDR4500w = 0.69; p < 0.0001). Linear regression to predict SMM, including DXA FFM, BMI, and age, resulted in an R-squared of 0.72 and 0.65 for QDR2000 and QDR4500. Bland-Altman limits of agreement were ±21 and ±31 g for 2–3 standard deviations from the mean difference. DXA predicted abdominal SSM is a moderate proxy for MRI abdominal SMM.",

keywords = "abdominal muscle mass, absorptiometry, body composition, lean mass, magnetic resonance imaging, postmenopause",

author = "E. Walker and Chalke, {A. M.} and Bland, {V. L.} and Lind, {K. E.} and Z. Chen and Blew, {R. M.} and Odegaard, {A. O.} and Thomson, {C. A.} and B. Caan and Nicholas, {J. S.} and Valencia, {C. I.} and Roe, {D. J.} and M. Allison and Schnatz, {P. F.} and J. Wactawski-Wende and Bea, {J. W.}",

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doi = "10.1139/apnm-2024-0046",

language = "English (US)",

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AU - Walker, E.

AU - Chalke, A. M.

AU - Bland, V. L.

AU - Lind, K. E.

AU - Chen, Z.

AU - Blew, R. M.

AU - Odegaard, A. O.

AU - Thomson, C. A.

AU - Caan, B.

AU - Nicholas, J. S.

AU - Valencia, C. I.

AU - Roe, D. J.

AU - Allison, M.

AU - Schnatz, P. F.

AU - Wactawski-Wende, J.

AU - Bea, J. W.

PY - 2024/11

Y1 - 2024/11

N2 - Dual-energy X-ray absorptiometry (DXA) is more available than gold-standard magnetic resonance imaging (MRI), but DXA ability to estimate abdominal skeletal muscle mass (SMM) is unknown. DXA-derived abdominal fat-free mass (FFM; Hologic QDR2000 or QDR4500w) was correlated with single-slice MRI SMM at L4 (N = 69; r QDR2000 = 0.71, QDR4500w = 0.69; p < 0.0001). Linear regression to predict SMM, including DXA FFM, BMI, and age, resulted in an R-squared of 0.72 and 0.65 for QDR2000 and QDR4500. Bland-Altman limits of agreement were ±21 and ±31 g for 2–3 standard deviations from the mean difference. DXA predicted abdominal SSM is a moderate proxy for MRI abdominal SMM.

AB - Dual-energy X-ray absorptiometry (DXA) is more available than gold-standard magnetic resonance imaging (MRI), but DXA ability to estimate abdominal skeletal muscle mass (SMM) is unknown. DXA-derived abdominal fat-free mass (FFM; Hologic QDR2000 or QDR4500w) was correlated with single-slice MRI SMM at L4 (N = 69; r QDR2000 = 0.71, QDR4500w = 0.69; p < 0.0001). Linear regression to predict SMM, including DXA FFM, BMI, and age, resulted in an R-squared of 0.72 and 0.65 for QDR2000 and QDR4500. Bland-Altman limits of agreement were ±21 and ±31 g for 2–3 standard deviations from the mean difference. DXA predicted abdominal SSM is a moderate proxy for MRI abdominal SMM.

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KW - absorptiometry

KW - body composition

KW - lean mass

KW - magnetic resonance imaging

KW - postmenopause

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DXA-derived abdominal fat-free mass to predict MRI skeletal muscle mass in postmenopausal women

Abstract

Keywords

ASJC Scopus subject areas

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