Cited by 108Body Composition Measurement TechniquesBone health and osteoporosis researchForensic Anthropology and Bioarchaeology Studies

Bone Mineral and Body Composition Measurements: Cross-Calibration of Pencil-Beam and Fan-Beam Dual-Energy X-Ray Absorptiometers

Ellis, Kenneth J., Shypailo, Roman J.·1998·Journal of Bone and Mineral Research

Abstract

Pencil-beam dual-energy X-ray absorptiometers (DXA) are being replaced with instruments that rely solely on fan-beam technology. However, information has been lacking regarding the translation of bone mineral and body composition data between the two devices. We have compared total body scans using pencil-beam (Hologic QDR-2000W) and fan-beam (Hologic QDR-4500A) instruments for 33 children (ages 3–18 years) and 14 adults. Bone mineral content (BMC), bone mineral density (BMD), fat, lean, and body fatness (%fat) values were highly correlated (r2 = 0.984–0.998) between the two DXA instruments. The mean differences between the paired measurements were: ΔBMC = 7.5 ± 73.6 g, ΔBMD = 0.0074 ± 0.0252 g/cm2, Δlean = 1.05 ± 1.8 kg, Δfat = −0.77 ± 1.7 kg, and Δ%fat = −0.94% ± 2.5%. The BMC and BMD values were not statistically different, whereas the differences for the body composition values were significant (p < 0.02–0.005). Regression equations are provided for conversion of bone and body composition data between pencil-beam and fan-beam values for the whole body. To test the performance of these equations for a second group (23 subjects), predicted values were compared with the measured data obtained using the fan-beam instrument. The mean differences were −1.0% to 1.4%, except for body fat mass, where the difference was 6.4%. For cross-sectional studies, the two DXA technologies can be considered equivalent after using the translational equations provided. For longitudinal studies in which small changes in body composition for the individual are to be detected, we recommend that the same DXA instrument be used whenever possible. For example, transition from a pencil-beam to a fan-beam instrument could, in extreme cases, result in differences as large as 19% for the estimate of body fat mass.

Integrity signals

Registry

Crossref · 10.1359/jbmr.1998.13.10.1613

Cites

22 of 22 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ellis, K. J., & Shypailo, R. J.
Affiliations
Baylor College of Medicine (US)
Corresponding author
Ellis, Kenneth J.
Venue
Journal of Bone and Mineral Research
Published
1998-10-01
Volume
13
Issue
10
Pages
1613-1618
ISSN
  • 0884-0431 (ISSN-L)
  • 1523-4681
OpenAlex
W2070650287
Cited by
108
References
22
Citations by year
2024: 1 · 2023: 1 · 2021: 2 · 2020: 1 · 2019: 4 · 2018: 1 · 2017: 1 · 2016: 1 · 2015: 2 · 2014: 2 · 2013: 4 · 2012: 6
FWCI
2.25
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Bone and Mineral Research (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • U.S. Department of Agriculture
  • Agricultural Research Service
Topics
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
  • Social Sciences › Arts and Humanities › Archeology › Forensic Anthropology and Bioarchaeology Studies
Keywords
dual-energy X-ray absorptiometry, cross-calibration, bone mineral content, bone mineral density, body composition, fat mass, lean body mass, children, adults, conversion equations
MeSH terms
Adult, Body Composition, Bone and Bones, Calibration, Child, Child, Preschool, Humans, Middle Aged, Minerals, Absorptiometry, Photon

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review