Literature DB >> 27546558

Inclusion of Regional Body Composition Parameters Improves Bone Mineral Density Cross-Calibration Between GE Lunar Prodigy and iDXA Densitometers.

J Saarelainen1, M Hakulinen2, T Rikkonen3, H Kröger4, H Koivumaa-Honkanen5, R Honkanen3, J S Jurvelin6.   

Abstract

Since 1989, the Kuopio Osteoporosis Risk Factor and Prevention (OSTPRE, n = 14220) Study has followed long-term changes of bone mineral density (BMD) and body composition in women with GE Lunar devices. During the course of OSTPRE, the dual-energy X-ray absorptiometry device had to be replaced by a newer model. Then, it was essential to determine whether systematic measurement differences in BMD and body composition will occur. As a part of the OSTPRE study, BMD was measured in 54 women, whereas body composition was determined in 55 women, aged 27-71, by using both the GE Healthcare Lunar Prodigy and iDXA narrow-angle fan beam densitometers during the same visit. The total body fat mass (FM) and lean body mass (LBM) results of these scanners showed a high linear correlation (r = 0.981-0.994, p < 0.0001). However, the mean total body FM and LBM values measured by iDXA were on average 2.3% (0.5 kg, 95% confidence interval: 0.3-0.7 kg) higher and 0.8% (0.3 kg, 95% confidence interval: 0.1-0.6 kg) lower, respectively, than those measured by Prodigy. Inclusion of local soft tissue measurements (total body LBM, legs/android FM) improved the agreement of total body, total hip, and lumbar spine BMD values between the devices but not femoral neck BMD agreement. Equations, based on linear regression analyses, were derived to minimize differences between the instruments. Then, the differences in BMD and body composition measurements were negligible between Prodigy and iDXA. Using correction equations enables an objective comparison of longitudinal BMD and body composition measurements.
Copyright © 2016 The International Society for Clinical Densitometry. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Body composition; bone mineral density; cross-calibration

Mesh:

Year:  2016        PMID: 27546558     DOI: 10.1016/j.jocd.2016.07.006

Source DB:  PubMed          Journal:  J Clin Densitom        ISSN: 1094-6950            Impact factor:   2.617


  4 in total

1.  An unfavorable body composition is common in early arthritis patients: A case control study.

Authors:  Samina A Turk; Dirkjan van Schaardenburg; Maarten Boers; Sylvia de Boer; Cindy Fokker; Willem F Lems; Michael T Nurmohamed
Journal:  PLoS One       Date:  2018-03-22       Impact factor: 3.240

2.  Estimates of the precision of regional and whole body composition by dual-energy x-ray absorptiometry in persons with chronic spinal cord injury.

Authors:  Ashraf S Gorgey; Christopher M Cirnigliaro; William A Bauman; Robert A Adler
Journal:  Spinal Cord       Date:  2018-03-06       Impact factor: 2.772

3.  Characteristics of Long-Term Femoral Neck Bone Loss in Postmenopausal Women: A 25-Year Follow-Up.

Authors:  Anna Moilanen; Juho Kopra; Heikki Kröger; Reijo Sund; Toni Rikkonen; Joonas Sirola
Journal:  J Bone Miner Res       Date:  2021-10-19       Impact factor: 6.390

4.  Relationship of body anthropometric measures with skeletal muscle mass and strength in a reference cohort of young Finnish women.

Authors:  S L Qazi; T Rikkonen; H Kröger; R Honkanen; M Isanejad; O Airaksinen; J Sirola
Journal:  J Musculoskelet Neuronal Interact       Date:  2017-09-01       Impact factor: 2.041

  4 in total

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