scholarly journals Cross-Calibration of Bone Mineral Densities and Body Composition between GE Lunar Prodigy and Osteosys Primus

2021 ◽  
Vol 28 (3) ◽  
pp. 215-222
Author(s):  
Yong-Chan Ha ◽  
Jun-Il Yoo

Background: The aim of this study was to investigate the correlation between bone mineral density (BMD) and body composition measured by the Osteosys Primus® and the GE Lunar Prodigy® and to calculate the conversion rate between the 2 devices.Methods: The 40 subjects were men and women in aged 20 to 29 years old. All participants were scanned twice on both the Osteosys Primus (OsteoSys) and the GE Lunar Prodigy (GE Healthcare) DXA systems using the manufacturers’ standard scanning and positioning protocols.Results: Compared to the GE Lunar device, the mean Osteosys fat mass was overestimated to be 12.1% (1,776.9 g) in the whole body, 5.1% (163.9 g) in gynoid, and 6.7% (87.2 g) in android. Compared with the GE Lunar device, the mean BMDs of the Osteosys Primus were underestimated to be 2.3% (0.023 g/cm2) in the whole body and 3.1% (0.035 g/cm2) in L1-4. Compared with the GE Lunar device, the mean lean mass derived by the Osteosys Primus were underestimated to 2.3% (1,045.3 g) in the total body, 3.8% (179.4 g) in arms, and 7.7% (1,104.8 g) in legs, respectively. There were a strong correlation of BMD and body composition between both groups.Conclusions: Linear correction equations were developed to ensure comparability of BMD and muscle mass between the Osteosys Primus and the GE Lunar Prodigy. Importantly, use of equations from previous studies would have increased the discrepancy between the Osteosys Primus and the GE Lunar Prodigy.

2020 ◽  
Author(s):  
Yong-Chan Ha ◽  
JUN-IL YOO

Abstract Background:The aim of this study was to investigate the correlation between bone mineral density (BMD) and body composition measured by the Osteosys Primus® and the GE Lunar Prodigy® and to calculate the conversion formula between the two devices.Methods:The forty subjects were men and women in aged 20-29 years old. Study subjects with a body mass index (BMI) greater than or equal to 17 kg / m2 and less than or equal to 35 kg / m2with a negative pregnancy test at the time of screening, and participants who voluntarily participated and agreed to provide written consent were included in the study. The study exclusion criteria were patients with scoliosis, osteoarthritis, rigid vertebral osteomalacia, or other clinical vertebral deformities, adverse events after previous DXA or radiography, pregnant or lactating women, those with artificial pacemakers, or implanted cardiac pacemakers, and those with mental illnesses, such as severe depression. All participants were scanned twice on both the Osteosys Primus (OsteoSys, Seoul, Korea) and the GE-Lunar Prodigy (Madison, WI, USA) DXA systems using the manufacturers’ standard scanning and positioning protocols. Results:Compared to the GE Lunar device, the mean Osteosys fat mass was overestimated to be 12.1 % (1776.9 g) in the whole body, 5.1 % (163.9 g) in gynoid, and 6.7 % (87.2 g) in android. Compared with the GE Lunar device, the mean BMDs of the Osteosys Primus were underestimated to be 2.3 % (0.023 g/cm2) in the whole body and 3.1 % (0.035 g/cm2) in L1-4. Compared with the GE Lunar device, the mean lean mass derived by the Osteosys Primus were underestimated to 2.3 % (1045.3 g) in the total body, 3.8 % (179.4 g) in arms, and 7.7 % (1104.8 g) in legs, respectively. There were a strong correlation of BMD and body composition between both groups.Conclusion:There was a very high correlation of BMD and muscle mass between theOsteosys Primus and the GE Lunar Prodigy.


2012 ◽  
Vol 37 (5) ◽  
pp. 947-954 ◽  
Author(s):  
Sarah M. Camhi ◽  
Peter T. Katzmarzyk

Physical activity (PA), total body fat (TBF), and lean body mass (LBM) are associated with bone mineral density (BMD). However, the independent influence of PA on BMD, while controlling for body composition is not understood as well and is the purpose of the current study. Whole-body BMD (g·cm–2), femoral neck BMD (g·cm–2), TBF (kg), and LBM (kg) were measured with dual-energy X-ray absorptiometry. PA levels (total, work, sport, non-sport) were estimated using the Baecke questionnaire. General linear models determined the independent effects of PA on BMD (whole-body and femoral neck), with adjustment for age, sex, ethnicity, smoking, menopausal status (as appropriate), LBM, and TBF. These associations were also examined by sex and age group (20–34, 35–49, and 50–64 years). The sample included 802 adults (65% women; 13% African American) from the Pennington Center Longitudinal Study that were 20 to 64 years of age (mean ± SD: 46.9 ± 11.0 years). Higher sports scores were associated with higher femoral neck BMD in the total group, men and women, and in 20- to 34-year-olds and 35- to 49-year-olds, but not significant in those 50–64 years of age. Similar significant associations were found for sports score with total body BMD; however, this relationship was not significant for women or for those 50–64 years of age. Total PA had inconsistent relationships with both femoral neck BMD and total body BMD. Higher levels of sport-related PA are associated with higher femoral neck BMD; however, these relationships vary by PA domain and site of BMD measurement.


2008 ◽  
Vol 16 (3) ◽  
pp. 155-170 ◽  
Author(s):  
Margaret K. Covey ◽  
Donald L. Smith ◽  
Jean K. Berry ◽  
Eileen D. Hacker

The aim of the study was to determine reproducibility and extent of agreement between 2 dual-energy X-ray absorptiometers (Hologic QDR4500W, Discovery Wi). The average age of the sample (n = 42) was 50.4 (SD = 9.9) years old and 27.1 (SD = 6.1) kg/m2 body mass index. Four scans were performed with each subject (2 on each device) over ∼3 weeks. Whole body, proximal femur, and spine scans were performed at each visit. Major variables were whole body bone mineral content (BMC), fat mass, and nonosseous lean mass, and bone mineral density (BMD) of total proximal femur, femoral neck, total spine. Bland and Altman plots assessed the extent of the agreement. Regression analysis was used to develop correction equations if indicated. Both devices demonstrated good precision for whole body composition and BMD of central sites (<1% different). Interdevice agreement was acceptable for BMD of central sites (<1% different), but there were systematic differences for whole body composition between the 2 devices. It was concluded that when replacing an existing scanner with a new model, in vivo cross-calibration is important to ensure comparability of scan data, especially for whole body composition.


2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Atqah Abdul Wahab ◽  
M. Hammoudeh ◽  
Mona Allangawi ◽  
Fawziya Al-Khalaf ◽  
Prem Chandra

Objectives. To study bone mineral density (BMD) in cystic fibrosis (CF) children and adults with the CFTR I1234V mutation associated with pancreatic sufficiency.Methods. Lumbar spine, total hip, and whole-body mineral density were measured by dual-energy radiographic absorptiometry (DEXA) scan.Zscore was used for those less than 21 years andTscore was used for those 21 years or older.Results. Twenty-one CF patients were younger than 21 years and 5 CF patients were 21 years or older. Mean age was 17.29 ± 4.95 years, ranging from 10 to 33 years. The mean BMDZscores for patients younger than 21 years were −0.69 ± 0.96 (lumbar spine = L1–L4), −0.48 ± 0.92 (total hip), and −0.38 ± 0.86 (total body). The meanTscores for patients 21 years or older were 0.14 ± 0.7 (L1–L4), 0.38 ± 1 (total hip), and 0.52 ± 1.03 (total body). BMD reduction less than −1 was found in 7 (26.9%) CF patients. Vitamin D deficiency in 20 CF patients (76.9%) tended to be lower in CF patients with low BMD. BMD was significantly correlated with FEV1; however, no significant association was observed withP. aeruginosacolonization.Conclusion. BMD reduction does occur in patients with mild CFTR mutation associated with pancreatic sufficiency.


2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
J. Saarelainen ◽  
M. Hakulinen ◽  
T. Rikkonen ◽  
H. Kröger ◽  
M. Tuppurainen ◽  
...  

In long-term prospective studies, dual-energy X-ray absorptiometry (DXA) devices need to be inevitably changed. It is essential to assess whether systematic differences will exist between measurements with the new and old device. A group of female volunteers (21–72 years) underwent anteroposterior lumbar spine L2–L4 (n=72), proximal femur (n=72), and total body (n=62) measurements with the Prodigy and the iDXA scanners at the same visit. The bone mineral density (BMD) measurements with these two scanners showed a high linear association at all tested sites (r=0.962–0.995;p<0.0001). The average iDXA BMD values were 1.5%, 0.5%, and 0.9% higher than those of Prodigy for lumbar spine (L2–L4) (p<0.0001), femoral neck (p=0.048), and total hip (p<0.0001), respectively. Total body BMD values measured with the iDXA were −1.3% lower (p<0.0001) than those measured with the Prodigy. For total body, lumbar spine, and femoral neck, the BMD differences as measured with these two devices were independent of subject height and weight. Linear correction equations were developed to ensure comparability of BMD measurements obtained with both DXA scanners. Importantly, use of equations from previous studies would have increased the discrepancy between these particular DXA scanners, especially at hip and at spine.


2012 ◽  
pp. 405-417 ◽  
Author(s):  
V. ZIKÁN ◽  
M. TÝBLOVÁ ◽  
I. RAŠKA JR. ◽  
E. HAVRDOVÁ ◽  
M. LUCHAVOVÁ ◽  
...  

The aim of the study was to compare the bone mineral density (BMD) and body composition between ambulatory male MS patients and control subjects and to evaluate the relationships among body composition, motor disability, glucocorticoids (GC) use, and bone health. Body composition and BMD were measured by dual-energy X-ray absorptiometry in 104 ambulatory men with MS (mean age: 45.2 years) chronically treated with low-dose GC and in 54 healthy age-matched men. Compared to age-matched controls, MS patients had a significantly lower total body bone mineral content (TBBMC) and BMD at all measured sites except for the radius. Sixty five male MS patients (62.5 %) met the criteria for osteopenia and twenty six of them (25 %) for osteoporosis. The multivariate analysis showed a consistent dependence of bone measures (except whole body BMD) on BMI. The total leg lean mass % was as an independent predictor of TBBMC. The Expanded Disability Status Scale (EDSS), cumulative GC dose and age were independent determinants for BMD of the proximal femur. We conclude that decreasing mobility in male MS patients is associated with an increasing degree of osteoporosis and muscle wasting in the lower extremities. The chronic low-dose GC treatment further contributes to bone loss.


2001 ◽  
Vol 16 (11) ◽  
pp. 2142-2151 ◽  
Author(s):  
S. M. F. Pluijm ◽  
M. Visser ◽  
J. H. Smit ◽  
C. Popp-Snijders ◽  
J. C. Roos ◽  
...  

Author(s):  
Luke Del Vecchio ◽  
Nattai Borges ◽  
Campbell MacGregor ◽  
Jarrod D. Meerkin ◽  
Mike Climstein

Background: Previous research highlighted positive musculoskeletal adaptations resulting from mechanical forces and loadings distinctive to impacts and movements with sports participation. However, little is known about these adaptations in combat athletes. The aim of this study was to quantify bone mineral density, lean muscle mass and punching and kicking power in amateur male combat athletes. Methods: Thirteen male combat athletes (lightweight and middleweight) volunteered all physiological tests including dual energy X-ray absorptiometry for bone mineral density (BMD) segmental body composition (lean muscle mass, LMM), muscle strength and striking power, sedentary controls (n = 15) were used for selected DXA outcome variables. Results: There were significant differences (p < 0.05) between combat groups for lumbar spine (+5.0%), dominant arm (+4.4%) BMD, and dominant and non-dominant leg LMM (+21.8% and +22.6%). Controls had significantly (p < 0.05) high adiposity (+36.8% relative), visceral adipose tissue (VAT) mass (+69.7%), VAT area (+69.5%), lower total body BMD (−8.4%) and lumbar spine BMD (−13.8%) than controls. No differences in lower limb BMD were seen in combat groups. Arm lean mass differences (dominant versus non-dominant) were significantly different between combat groups (p < 0.05, 4.2% versus 7.3%). There were no differences in punch/kick power (absolute or relative) between combat groups. 5RM strength (bench and squat) correlated significantly with upper limb striking power (r = 0.57), dominant and non-dominant leg BMD (r = 0.67, r = 0.70, respectively) and total body BMD (r = 0.59). Conclusion: BMD and LMM appear to be particularly important to discriminate between dominant and non-dominant upper limbs and less so for lower limb dominance in recreational combat athletes.


2018 ◽  
Vol 3 (4) ◽  
pp. 62
Author(s):  
Jose Antonio ◽  
Anya Ellerbroek ◽  
Cassandra Carson

The effects of long-term high-protein consumption (i.e., >2.2 g/kg/day) are unclear as it relates to bone mineral content. Thus, the primary endpoint of this investigation was to determine if consuming a high-protein diet for one year affected various parameters of body composition in exercise-trained women. This investigation is a follow-up to a prior 6-month study. Subjects were instructed to consume a high-protein diet (>2.2 g/kg/day) for one year. Body composition was assessed via dual-energy X-ray absorptiometry (DXA). Subjects were instructed to keep a food diary (i.e., log their food ~three days per week for a year) via the mobile app MyFitnessPal®. Furthermore, a subset of subjects had their blood analyzed (i.e., basic metabolic panel). Subjects consumed a high-protein diet for one year (mean ± SD: 2.3 ± 1.1 grams per kilogram body weight daily [g/kg/day]). There were no significant changes for any measure of body composition over the course of the year (i.e., body weight, fat mass, lean body mass, percent fat, whole body bone mineral content, whole body T-score, whole body bone mineral density, lumbar bone mineral content, lumbar bone mineral density and lumbar T-score). In addition, we found no adverse effects on kidney function. Based on this 1-year within-subjects investigation, it is evident that a diet high in protein has no adverse effects on bone mineral density or kidney function.


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