Cross-calibration of Lunar DPX-IQ and DPX dual-energy x-ray densitometers for bone mineral measurements in women: effect of body anthropometry

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

The aim of this study was to monitor long-term changes in bone mineral density (BMD) after menopause and factors affecting BMD. The study population consisted of a random sample of 3222 women from the Kuopio Osteoporosis Risk Factor and Prevention (OSTPRE) study, of which 62.1% were postmenopausal at the beginning of the study. This group of women underwent dual-energy X-ray absorptiometry (DXA) measurements at the femoral neck every 5 years from baseline (in 1989) up to 25-year follow-up. They also responded to risk-factor questionnaires at 5-year intervals. During the 25-year follow-up, the baseline cohort decreased to 686 women. The women were divided into quartiles based on their baseline BMD. Self-reported hormone replacement therapy (HRT) and corticosteroid use were divided into ever users and never users. Morbidity was assessed as the total number of self-reported diseases and BMD-affecting diseases. The mean 25-year BMD change was found to be -10.1%, p < 0.001. Higher baseline BMD was associated with higher bone loss rate; the reduction in the highest quartile BMD was 11.1% and in the lowest quartile 7.4% (p = 0.0031). Lower baseline body mass index (BMI) and a greater increase in BMI were found to protect against postmenopausal bone loss (p < 0.001). The lowest bone loss quartile included 15.2% more HRT users than the highest bone loss quartile (p = 0.004). The number of diseases/bone-affecting diseases, use of vitamin D/calcium supplementation, use of corticosteroids, smoking or alcohol use had no statistical significance for annual bone loss rate. This study presents hitherto the longest (25-year) BMD follow-up in postmenopausal women. The linear femoral neck bone loss of 10% was less than previously assumed. A 5-year BMD change appeared to predict long-term bone loss in postmenopausal women. © 2021 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).

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

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.

Cross-Calibration of GE Healthcare Lunar Prodigy and iDXA Dual-Energy X-Ray Densitometers for Bone Mineral Measurements

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.

Musculoskeletal deterioration in men accompanies increases in body fat

OBJECTIVE

To examine body fat and musculoskeletal changes in men over 5 years.

METHODS

Body composition was evaluated for men in the Geelong Osteoporosis Study using whole body dual energy X-ray absorptiometry (DXA) during two time-periods. DXA was performed for 1329 men (25-96 years) during 2001-2006 and for 900 men (25-98 years), 2006-2011. The masses of fat, lean, and bone were expressed relative to the square of height (kg/m2). Each compartment was also expressed as a percentage relative to body weight (%fat, %lean, %bone).

RESULTS

Mean BMI increased from 26.9 kg/m2 in 2001-2006, to 27.2 kg/m2 in 2006-2011 (P = 0.04). Mean fat mass increased by 9.0% from 6.98 kg/m2 (95% CI 6.84-7.11) in 2001-2006, to 7.60 kg/m2 (7.44-7.77) in 2006-2011 (P < 0.001); mean lean mass decreased by 0.9%, from 18.92 kg/m2 (18.83-19.01) to 18.75 kg/m2 (18.64-18.86) (P = 0.02), and mean bone mass decreased 1.6% from 1.041 kg/m2 (1.034-1.047), to 1.024 kg/m2 (1.016-1.032). Mean %fat increased from 23.4% to 25.2%, mean %lean decreased from 72.6% to 70.9% and mean %bone decreased from 4.0% to 3.9% (all P < 0.05).

CONCLUSIONS

An increase in BMI, which reflects a substantial increase in body fat mass and declines in both lean and bone mass was reported. This may have implications for future development of bone fragility, sarcopenia, and sarcopenic obesity.

Body mass index and bone loss among postmenopausal women: the 10-year follow-up of the OSTPRE cohort

Obesity protects against osteoporosis, but the magnitude of this association has been difficult to assess from cross-sectional or short term studies. We examined the time course of bone loss as a function of body mass index (BMI) in early and late postmenopausal women. Our study population (n = 300) was a random sample of the population-based Kuopio Osteoporosis Risk Factor and Prevention (OSTPRE) Study, Finland. We excluded women without complete BMD results, premenopausal women during the second bone densitometry and women who had used hormone replacement therapy, bisphosphonates or calcitonin. BMI along with femoral neck and spinal bone mineral density (BMD) were assessed three times by dual-energy X-ray absorptiometry during a mean follow-up of 10.5 years (SD 0.5). The mean baseline age was 53.6 years (SD 2.8), time since menopause 2.9 years (SD 4.3) and BMI 27.3 kg/m(2) (SD 4.4). The data was analyzed by linear mixed models. Thus, we were able to approximate the bone loss up to 20 postmenopausal years. To illustrate, a woman with a baseline BMI of 20 kg/m(2) became osteopenic 2 (spine) and 4 (femoral neck) years after menopause, while obesity (BMI of 30 kg/m(2)) delayed the incidence of osteopenia by 5 (spine) and 9 (femoral neck) years, respectively. The delay was due to high baseline BMD of the obese, while bone loss rate was similar for both lean and obese subjects. This lean versus obese difference may also be partly due to altered X-ray attenuation due to fat mass.

Body fat distribution is associated with lumbar spine bone density independently of body weight in postmenopausal women

OBJECTIVE

To assess the association between the body fat distribution and axial bone mineral density (BMD) in postmenopausal women with or without hormone replacement therapy (HRT).

DESIGN

Cross-sectional population-based study.

SETTING

University of Eastern Finland, Bone and Cartilage Research Unit, Kuopio, Finland.

POPULATION

198 postmenopausal women, mean age 67.5 (1.9 SD), mean BMI 27.1 (3.9 SD).

METHODS

Regional body composition and BMD assessed by dual X-ray absorptiometry (DXA, Prodigy).

MAIN OUTCOME MEASURES

Spinal and Femoral BMD.

RESULTS

Out of the body composition parameters, FM was the main determinant of postmenopausal bone mass. Only the lumbar spine (L2-L4) BMD, not the femoral neck BMD, was positively associated with the trunk FM. Positive trends for association were revealed between the spinal BMD and the trunk FM regardless of the use of HRT. Adjustments did not change the results.

CONCLUSIONS

Higher trunk fat mass was associated with the spinal BMD, but not with the hip BMD in postmenopausal women, irrespective of the HRT use. In addition to biological factors, uncertainties related to DXA measurements in patients with varying body mass may contribute to this phenomenon.

Physical activity slows femoral bone loss but promotes wrist fractures in postmenopausal women: a 15-year follow-up of the OSTPRE study

Results on fracture risk among physically active persons are contradictory. The aim of this study was to investigate the long-term association between the self-reported physical activity (PA), the risk of fractures, and bone loss among peri- and postmenopausal women. The association between PA and fracture risk was examined during 15 years of follow-up in the population-based Osteoporosis Risk Factor and Prevention (OSTPRE) Study among 8560 women with a mean age of 52.2 years (range 47 to 56 years) at baseline. The amount and type of PA, as well as the types and mechanisms of fractures, were registered with self-administered questionnaires at 5-year intervals (ie, 1989, 1994, 1999, and 2004). A total of 2641 follow-up fractures were verified in 2073 women (24.2%). The study cohort was divided into quartiles by average hours of reported PA during the whole follow-up. Areal bone mineral density (aBMD) at the proximal femur (n = 2050) and lumbar spine (L(2)-L(4); n = 1417) was followed at 5-year intervals from a random stratified subsample with dual X-ray absorptiometry (DXA). Risk of fracture was estimated by using the Cox proportional hazards model with a mean follow-up time of 15.2 years. Weekly average time spent on leisure-time PA was 0.4, 1.7, 3.3, and 7.0 hours from the least to the most active quartiles, respectively. The risk of wrist fracture was higher in the active quartiles (II to IV) than in the most inactive quartile (I), with hazard ratios (HRs) of 1.3 [95% confidence interval (CI) 1.05-1.57, p = .014] for the second (II), 1.2 (95% CI 1.01-1.51, p = .045) for the third (III), and 1.4 (95% CI 1.14-1.69, p = .001) for the fourth (IV) quartile, respectively. Overall, most of the fractures were reported as a result of a fall (69.0%), with a 2.1 times higher rate of wrist fractures during the winter (November to April) than during summer season. There were no significant associations of PA with any other fracture types. Bone loss at the femoral neck, trochanter, and Ward's triangle was significantly associated with long-term PA (ANCOVA p < .05), whereas no associations of bone loss and PA in lumbar spine were seen. PA is associated with a moderate rise in wrist fracture risk, which might be explained in part by a higher number of outdoor activities. Regular PA of at least 1½ hours per week does not seem to increase the risk of other fractures and might significantly decrease proximal femur bone loss among peri- and postmenopausal women.

Effects of continuous combined hormone replacement therapy and clodronate on bone mineral density in osteoporotic postmenopausal women: a 5-year follow-up

OBJECTIVE

To determine the effects of HRT with or without clodronate on bone mineral density (BMD) change and bone turnover markers.

DESIGN

Prospective, partly randomized trial.

SETTING

Kuopio University Hospital, Finland.

POPULATION

167 osteoporotic women (61+/-2.7 years; T-score<or=-2.5 SD).

METHODS

Estradiol 2 mg+NETA 1 mg, randomization to additional 800 mg clodronate (n=55, HT+C-group) or placebo (n=55, HT-group); if contraindications to HRT, clodronate (n=57, C-group).

MAIN OUTCOME MEASURES

BMD by DXA after 1, 3 and 5 years, serum osteocalcin (OC) and bone-specific alkaline phosphatase (BAP) at the baseline and after 3 years.

RESULTS

After 5 years, adjusted lumbar BMD increased by 4.2% in the HT-group and 3.7% in the HT+C-group. The C-group showed a decrease of -1.1%, the total difference being 5.3% and 4.8% between HT, HT+C vs. C-group, respectively (p<0.001). In the femoral neck, the adjusted 5-year BMD benefit was 1.3% and 2.4% in the HT- and HT+C-groups, respectively, the net loss of BMD in the C-group was -3.3% (p<0.05 between HT+C vs. C). By 3 years, OC decreased by 55.0%, 70.3% and 53.8% in the HT-, HT+C- and C-groups, respectively (p<0.001 vs. baseline). The significant decreases of BAP were 39.4% in the HT-group, 42.1% in the HT+C-group and 30.2% in the C-group with no significant differences between the groups after adjustments.

CONCLUSIONS

In postmenopausal women with osteoporosis, HRT increased spinal and femoral BMD, but the combination of HRT and clodronate did not offer an extra gain of bone mass.

The evaluation of consistency between body composition assessments in pediatric population using pencil beam and fan beam dual-energy x-ray absorptiometers

The replacement of the old dual-energy X-ray absorptiometry system with a novel one should be preceded by a cross-calibration procedure. Therefore, the study was aimed at investigating the consistency of bone and body composition measures performed in pediatric population using pencil beam (DPX-L; GE Healthcare, GE Healthcare, Madison, WI) and fan beam (Prodigy; GE Healthcare, GE Healthcare, Madison, WI) densitometers. The study group consisted of 212 healthy children aged 4-18yr. Total body (TB) and lumbar spine (S) (L2-L4) measurements were performed using DPX-L and Prodigy during the same visit. Bland-Altman analysis, linear regressions, and paired t-test were performed to evaluate the consistency of measurements and to establish a cross-calibration equation. The average Prodigy values for TB and lumbar spine bone mineral density (BMD) and content (BMC) were 2.7%, 2.4% and 1.6%, 1.6% higher than those of DPX-L, respectively (p<0.0001). Prodigy-assessed bone area (BA) was lower by 1.4% for TBBA (p<0.0001) and 1.1% for SBA (p<0.001). Lean body mass (LBM) from Prodigy was higher by 6.9% (p<0.0001), whereas fat mass (FM) was lower by 8.4% compared with those from DPX-L (p<0.0001). Bland-Altman analyses revealed the effect of magnitude that was nonlinear (2nd degree polynomial) for TBBMD (r=0.32, p=0.001), TBBMC (r=0.51, p<0.0001), TBBA (r=0.34, p<0.0001), and LBM (r=0.56, p<0.0001), but not for FM (r=0.14, not significant [n.s.]). In contrast, in lumbar spine, the magnitude dependence was linear and significant for SBMC (r=0.46, p<0.0001) and SBA (r=0.34, p<0.0001) but not for SBMD (r=0.12, n.s.). Both skeletal and body composition variables assessed by DPX-L and Prodigy devices were highly correlated, showing R(2) values ranging from 0.976 for FM to 0.994 for SBMC. The results of this study document a necessity for implementation of calculated cross-calibration equations to transform DPX-L-based local pediatric references into a novel Prodigy system.

In vivo and in vitro comparison of densitometers in the NOREPOS study

The purpose of this study was to assess the agreement of in vivo hip scans on 3 densitometers (1 GE Lunar DPX-IQ and 2 GE Lunar Prodigy scanners) and to evaluate whether the European Spine Phantom (ESP) was able to reproduce the in vivo variability. Sixteen subjects had 3 repeated scans (with repositioning) on each densitometer, and the ESP was measured on each densitometer at least 40 times. Mean differences between hip scans on the Prodigy scanners were small and insignificant, and the in vivo results were not significantly different from the in vitro results. Bland and Altman plots showed no systematic differences between the Prodigy scanners over the range of bone mineral density (BMD). On the other hand, differences between Prodigy and DPX-IQ changed systematically over the range of BMD. The ESP did not fully reproduce the in vivo difference between Prodigy and DPX-IQ. In conclusion, the ESP is a valid substitute when assessing agreement between Prodigy scanners. However, when assessing agreement between different types of scanners, substitution of in vivo with in vitro measurements should be made with caution.

Determinants of changes in bone density: a 5-year follow-up study of adult male monozygotic twins

The relative importance of determinants in bone mineral density (BMD) in adult men is partly unclear. Our goals were to investigate the effects of familial aggregation and behavioral factors on the change in BMD during a 5-yr follow-up. Subjects (n=140) were 70 exposure-discordant monozygotic twin pairs (age 35-69 yr). BMD was measured with the same dual-energy X-ray absorptiometry scanner at baseline and at the 5-yr follow-up. A variety of covariates were used including physical examination and interview data. Multivariate linear regression was used. The mean annual decrease in femoral BMD was 0.2%. The mean lumbar BMD was unchanged, although 8-17% of subjects had a decrease of more than 5%. Familial aggregation explained 14% of the changes in femoral BMD and 19% in lumbar BMD. The stability of BMD in the follow-up was high, both for individuals (intraclass correlation coefficient [ICC]=0.90-0.94) and for co-twins in a pair (ICC=0.77-0.84). In femoral BMD, use of alcohol (p=0.006), coffee (p=0.046), and beta-blockers (p=0.043) led to increases, whereas smoking led to a decrease (p<0.01). We concluded that frequent increases in BMD, influenced by beta-blockers, partly explain the minor mean changes during follow-up; however, about every 10th subject had a significant decrease. Overall, familial effects played a dominant role in BMD changes in adult men.

Is discordance in bone measurements affected by body composition or anthropometry? A comparative study between peripheral and central devices

Screening of osteoporosis using peripheral bone measurements has become more common, even though diagnostic discrepancies are known to exist between peripheral dual-energy X-ray (pDXA) or quantitative ultrasound (QUS) and central DXA measurements. Values of diagnostic parameters such as bone mineral density, speed of (ultra)sound, and broadband ultrasound attenuation are affected by bone size and soft tissue composition. However, their significance for the discordance between peripheral and central techniques is unclear. In this study, bone status and total body composition of 139 women (mean age 68.3 yr [1.7 SD], mean body mass index 26.5 kg/m2 [3.6 SD]) were assessed by 3 GE Lunar devices. Heel pDXA and heel QUS were conducted using peripheral instantaneous X-ray imaging (PIXI) and Achilles, respectively, and central DXA measurements were taken at the posterior-anterior lumbar spine (L2-L4) and at the left femoral neck using Prodigy. Positive significant associations were found between body height or fat (%) and most DXA or QUS parameters. The discordance between the site-dependent DXA or QUS T-score values typically increased (p<0.05) as a function of body weight or fat (%), but not with body height. On an average, body adiposity accounted for less than 11% of the differences between the techniques; however, increase of total body fat from 20% to 45% led to a discrepancy of one T-score between DXA(HEEL) and QUS(HEEL). To avoid diagnostic bias, comparative assessment of the devices using the same population is recommended.