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Simulated increases in body fat and errors in bone mineral density measurements by DXA and QCT
Open accessAbstract
Major alterations in body composition, such as with obesity and weight loss, have complex effects on the measurement of bone mineral density (BMD) by dual-energy X-ray absorptiometry (DXA). The effects of altered body fat on quantitative computed tomography (QCT) measurements are unknown. We scanned a spine phantom by DXA and QCT before and after surrounding with sequential fat layers (up to 12 kg). In addition, we measured lumbar spine and proximal femur BMD by DXA and trabecular spine BMD by QCT in 13 adult volunteers before and after a simulated 7.5 kg increase in body fat. With the spine phantom, DXA BMD increased linearly with sequential fat layering at the normal (p < 0.01) and osteopenic (p < 0.01) levels, but QCT BMD did not change significantly. In humans, fat layering significantly reduced DXA spine BMD values (mean ± SD: −2.2 ± 3.7%, p = 0.05) and increased the variability of measurements. In contrast, fat layering increased QCT spine BMD in humans (mean ± SD: 1.5 ± 2.5%, p = 0.05). Fat layering did not change mean DXA BMD of the femoral neck or total hip in humans significantly, but measurements became less precise. Associations between baseline and fat-simulation scans were stronger for QCT of the spine (r2 = 0.97) than for DXA of the spine (r2 = 0.87), total hip (r2 = 0.80), or femoral neck (r2 = 0.75). Bland-Altman plots revealed that fat-associated errors were greater for DXA spine and hip BMD than for QCT trabecular spine BMD. Fat layering introduces error and decreases the reproducibility of DXA spine and hip BMD measurements in human volunteers. Although overlying fat also affects QCT BMD measurements, the error is smaller and more uniform than with DXA BMD. Caution must be used when interpreting BMD changes in humans whose body composition is changing. © 2012 American Society for Bone and Mineral Research
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“It is known that DXA-derived aBMD precision declines with increasing BMI and paraspinal fat,23,24 which may negatively impact the correlation with spectral localizer radiograph-derived aBMD.”
From In Vivo Bone Mineral Density Assessment With Spectral Localizer Radiographs From Photon-Counting Detector CT (2025) · cites this paper as [23]
Experimental — accuracy not yet measuredIn the citing paper
“Measurements by QCT34 and high resolution peripheral QCT (HR-pQCT)35 may be less affected by changes in body fat.”
From Bone loss after bariatric surgery: causes, consequences, and management (2014) · cites this paper as [34]
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“After GB, patients typically lose 20-30% of initial body weight and 41-54% of excess body weight36, 37.”
From Bone loss after bariatric surgery: causes, consequences, and management (2014) · cites this paper as [37]
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Cites
Prevalence and Trends in Obesity Among US Adults, 1999-2008
Flegal, K. M. (2010) · JAMA · doi:10.1001/jama.2009.2014 · Cited by 7,580
Glüer, C.-C., Blake, G. M., Lü, Y., Blunt, B. A., Jergas, M. D., & Genant, H. K. (1995) · Osteoporosis International · doi:10.1007/bf01774016 · Cited by 1,282
Consensus Conference Statement
Buchwald, H. (2005) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2005.04.002 · Cited by 489
Coates, P. S., Fernstrom, J. D., Fernstrom, M. H., Schauer, P. R., & Greenspan, S. L. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-031756 · Cited by 423
Accuracy of measurements of body composition by dual-energy x-ray absorptiometry in vivo
Svendsen, O. L., Haarbo, J., Hassager, C., & Christiansen, C. (1993) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/57.5.605 · Cited by 408
Fleischer, J., Stein, E. M., Bessler, M., Badia, M. D., Restuccia, N., Olivero-Rivera, L., McMahon, D. J., & Silverberg, S. J. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2008-0481 · Cited by 278
Bolotin, H. H. (2007) · Bone · doi:10.1016/j.bone.2007.02.022 · Cited by 274
Kalender, W. A., Felsenberg, D., Genant, H. K., Fischer, M., Dequeker, J., & Reeve, J. (1995) · European Journal of Radiology · doi:10.1016/0720-048x(95)00631-y · Cited by 263
Preliminary evidence that DEXA provides an accurate assessment of body composition
Kohrt, W. M. (1998) · Journal of Applied Physiology · doi:10.1152/jappl.1998.84.1.372 · Cited by 186
Svendsen, O. L., Hassager, C., Skødt, V., & Christiansen, C. (1995) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.5650100607 · Cited by 184
Changes in bone mineral content after surgical treatment of morbid obesity
von Mach, M.-A., Stoeckli, R., Bilz, S., Kraenzlin, M., Langer, I., & Keller, U. (2004) · Metabolism · doi:10.1016/j.metabol.2004.01.015 · Cited by 164
Assessment of Vertebral Bone Mineral Density Using Volumetric Quantitative CT
Lang, T., Li, J., Harris, S. T., & Genant, H. K. (1999) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199901000-00027 · Cited by 158
Ensrud, K. E., Fullman, R. L., Barrett-Connor, E. L., Cauley, J. A., Stefanick, M. L., Fink, H. A., Lewis, C. E., & ORWOLL, E. S. (2005) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-1805 · Cited by 155
Snead, D. B., Birge, S. J., & Kohrt, W. M. (1993) · Journal of Applied Physiology · doi:10.1152/jappl.1993.74.2.770 · Cited by 135
Accuracy of dual-energy radiographic absorptiometry of the lumbar spine: cadaver study.
Ho, C. P., Kim, R. W., Schaffler, M. B., & Sartoris, D. J. (1990) · Radiology · doi:10.1148/radiology.176.1.2353087 · Cited by 134
Effect of weight loss on bone mineral content and bone mineral density in obese women
Loan, M. V., Johnson, H., & Barbieri, T. (1998) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/67.4.734 · Cited by 119
Tothill, P., Laskey, M. A., Orphanidou, C., & van Wijk, M. (1999) · British Journal of Radiology · doi:10.1259/bjr.72.859.10624323 · Cited by 96
An overlying fat panniculus affects femur bone mass measurement
Binkley, N., Krueger, D., & Vallarta-Ast, N. (2003) · Journal of Clinical Densitometry · doi:10.1385/jcd:6:3:199 · Cited by 90
Dual-Energy X-Ray Absorptiometry Measurements of Total-Body Bone Mineral During Weight Change
Tothill, P. (2005) · Journal of Clinical Densitometry · doi:10.1385/jcd:8:1:031 · Cited by 69
Madsen, O. R., Jensen, J.-E. B., & S�rensen, O. H. (1997) · European Journal of Applied Physiology · doi:10.1007/s004210050204 · Cited by 60
Reanalysis precision of 3D quantitative computed tomography (QCT) of the spine
Engelke, K., Mastmeyer, A., Bousson, V., Fuerst, T. P., Larédo, J.-D., & Kalender, W. A. (2008) · Bone · doi:10.1016/j.bone.2008.11.008 · Cited by 58
The accuracy of volumetric bone density measurements in dual X-ray absorptiometry
Sabin, M. A., Blake, G. M., Black, S. M., & Fogelman, I. (1995) · Calcified Tissue International · doi:10.1007/bf00298612 · Cited by 56
Simulated Change in Body Fatness Affects Hologic QDR 4500A Whole Body and Central DXA Bone Measures
Evans, E. M., Mojtahedi, M. C., Kessinger, R. B., & Misic, M. M. (2006) · Journal of Clinical Densitometry · doi:10.1016/j.jocd.2006.04.117 · Cited by 42
Helical Multidetector Row Quantitative Computed Tomography (QCT) Precision
Bligh, M., Bidaut, L. M., White, R. A., Murphy, W. A., Stevens, D. M., & CODY, D. D. (2009) · Academic Radiology · doi:10.1016/j.acra.2008.08.007 · Cited by 38
Is a Fixed Value for the Least Significant Change Appropriate?
Nelson, L., Gulenchyn, K. Y., Atthey, M., & Webber, C. E. (2010) · Journal of Clinical Densitometry · doi:10.1016/j.jocd.2009.10.001 · Cited by 35
Villareal, D. T. (2006) · Archives of Internal Medicine · doi:10.1001/archinte.166.22.2502 · Cited by 1
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- Finkelstein, Towards a physiologic definition of male hypogonadism: how much testosterone does a man really need?, ENDO Meeting.
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Shapses, S. A., & Sukumar, D. (2012) · Annual Review of Nutrition · doi:10.1146/annurev.nutr.012809.104655 · Cited by 358
Obesity and fracture in men and women: an epidemiologic perspective
Nielson, C. M., Srikanth, P., & Orwoll, E. S. (2012) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.1486 · Cited by 253
Evans, A. L., Paggiosi, M., Eastell, R., & Walsh, J. (2014) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.2407 · Cited by 268
Review article: the nutritional and pharmacological consequences of obesity surgery
Stein, J. M., Stier, C. K., Raab, H., & Weiner, R. A. (2014) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.12872 · Cited by 257
Type 2 diabetes and the skeleton: new insights into sweet bones
Shanbhogue, V. V., Mitchell, D. M., Rosen, C. J., & Bouxsein, M. (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00283-1 · Cited by 242
Metadata
- Authors
- Yu, E. W., Thomas, B. J., Brown, J. K., & Finkelstein, J. S.
- Affiliations
- Massachusetts General Hospital (US)
- The University of Texas at Austin (US)
- Corresponding author
- Yu, Elaine W
- Venue
- Journal of Bone and Mineral Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-09-13
- Volume
- 27
- Issue
- 1
- Pages
- 119-124
- ISSN
- 0884-0431 (ISSN-L)
- 1523-4681
- PMC
- PMC3864640
- OpenAlex
- W2069043426
- Cited by
- 300
- References
- 26
- Citations by year
- 2026: 22 · 2025: 25 · 2024: 36 · 2023: 25 · 2022: 29 · 2021: 18 · 2020: 26 · 2019: 13 · 2018: 9 · 2017: 16 · 2016: 19 · 2015: 19 · 2014: 22 · 2013: 14 · 2012: 5
- FWCI
- 14.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Journal of Bone and Mineral Research (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (K23DK093713, T32DK007028)
- Topics
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Physical Sciences › Engineering › Biomedical Engineering › Medical Imaging and Analysis
- Keywords
- dual-energy X-ray absorptiometry, quantitative computed tomography, fat mass, body composition, obesity, weight loss, spine phantom, lumbar spine, proximal femur, trabecular bone, measurement reproducibility, osteopenia
- MeSH terms
- Adipose Tissue, Adult, Computer Simulation, Female, Femur, Humans, Male, Spine, Tomography, X-Ray Computed, Absorptiometry, Photon, Bone Density, Phantoms, Imaging
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