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, John A Shepherd Department of Radiology and Bioimaging, University of California San Francisco, San Francisco, CA, USA Search for other works by this author on: Oxford Academic Bo Fan Department of Radiology and Bioimaging, University of California San Francisco, San Francisco, CA, USA Search for other works by this author on: Oxford Academic Ying Lu VA Palo Alto Cooperative Studies Program Coordinating Center and Division of Biostatistics, Department of Health Research and Policy, Stanford University, Palo Alto, CA, USA Search for other works by this author on: Oxford Academic Xiao P Wu Institute of Metabolism and Endocrinology, The Second Xiang‐Ya Hospital, Central South University, Changsha, Hunan 410011, PR China Search for other works by this author on: Oxford Academic Wynn K Wacker GE Healthcare Lunar, Madison, WI, USA Search for other works by this author on: Oxford Academic David L Ergun GE Healthcare Lunar, Madison, WI, USA Search for other works by this author on: Oxford Academic Michael A Levine Division of Endocrinology and Diabetes, The Children's Hospital of Philadelphia and Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA Search for other works by this author on: Oxford Academic
Journal of Bone and Mineral Research, Volume 27, Issue 10, 1 October 2012, Pages 2208–2216, https://doi.org/10.1002/jbmr.1654
Published:
23 May 2012
Article history
Received:
09 January 2012
Revision received:
23 April 2012
Accepted:
25 April 2012
Published:
23 May 2012
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John A Shepherd, Bo Fan, Ying Lu, Xiao P Wu, Wynn K Wacker, David L Ergun, Michael A Levine, A multinational study to develop universal standardization of whole‐body bone density and composition using GE Healthcare Lunar and Hologic DXA systems, Journal of Bone and Mineral Research, Volume 27, Issue 10, 1 October 2012, Pages 2208–2216, https://doi.org/10.1002/jbmr.1654
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Abstract
Dual‐energy x‐ray absorptiometry (DXA) is used to assess bone mineral density (BMD) and body composition, but measurements vary among instruments from different manufacturers. We sought to develop cross‐calibration equations for whole‐body bone density and composition derived using GE Healthcare Lunar and Hologic DXA systems.
This multinational study recruited 199 adult and pediatric participants from a site in the US (n = 40, ages 6 through 16 years) and one in China (n = 159, ages 5 through 81 years). The mean age of the participants was 44.2 years. Each participant was scanned on both GE Healthcare Lunar and Hologic Discovery or Delphi DXA systems on the same day (US) or within 1 week (China) and all scans were centrally analyzed by a single technologist using GE Healthcare Lunar Encore version 14.0 and Hologic Apex version 3.0. Paired t‐tests were used to test the results differences between the systems. Multiple regression and Deming regressions were used to derive the cross‐conversion equations between the GE Healthcare Lunar and Hologic whole‐body scans.
Bone and soft tissue measures were highly correlated between the GE Healthcare Lunar and Hologic and systems, with r ranging from 0.96 percent fat [PFAT] to 0.98 (BMC). Significant differences were found between the two systems, with average absolute differences for PFAT, BMC, and BMD of 1.4%, 176.8 g and 0.013 g/cm2, respectively. After cross‐calibration, no significant differences remained between GE Healthcare Lunar measured results and the results converted from Hologic.
The equations we derived reduce differences between BMD and body composition as determined by GE Healthcare Lunar and Hologic systems and will facilitate combining study results in clinical or epidemiological studies. © 2012 American Society for Bone and Mineral Research.
CROSS‐CALIBRATION, OSTEOPOROSIS, OBESITY, PERCENT BODY FAT, BODY COMPOSITION
Copyright © 2012 American Society for Bone and Mineral Research
This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
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