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DXA body composition corrective factors between Hologic Discovery models to conduct multicenter studies.
- Source :
-
Bone [Bone] 2021 Jan; Vol. 142, pp. 115683. Date of Electronic Publication: 2020 Oct 09. - Publication Year :
- 2021
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Abstract
- Background: Dual X-ray absorptiometry body composition measurements are widely used for clinical and research settings. It is well known that measurements vary across instruments, needing caution for longitudinal monitoring or multicentric studies. This study was to quantify intra- and inter-center variability of bone mineral content, bone mineral density, fat and lean body composition measurements between Hologic Discovery models in order to calculate the corrective factors to be applied for multicenter research projects.<br />Materials and Methods: A whole body phantom composed of materials representing the thickness and percentage of bone, lean and fat mass in the human physiological range was analyzed ten times in three different centers using dual energy X-ray absorptiometry scanners (Two Hologic Discovery QDR A and one QDR W). In addition, we used a morphometric vertebral phantom to monitor stability and a three steps block phantom to check accuracy.<br />Results: We found a good long-term stability and accuracy for the three devices. Intra-center coefficients of variation were within the range of the manufacturer acceptable values (bone mineral density: 1.40%, bone mineral content: 1%, area: 1.50%, fat mass: 0.89%, lean mass: 0.76%, total mass: 0.12%). Whereas the inter-center coefficient of variation exceeded 8% (bone mineral density: 8.18%, bone mineral content: 3.03%, area: 8.63%: fat mass: 3,92%, lean mass: 7.89%, total mass: 2.85%).<br />Conclusion: Our study showed that the discrepancies across centers remain a major concern, particularly with regard to body composition results. Our study highlight the need of cross calibration between densitometers and proposes corrective factors evaluated from a whole body phantom to lead multicentric studies adjustment.<br /> (Copyright © 2020 Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-2763
- Volume :
- 142
- Database :
- MEDLINE
- Journal :
- Bone
- Publication Type :
- Academic Journal
- Accession number :
- 33045389
- Full Text :
- https://doi.org/10.1016/j.bone.2020.115683