Assessment of whole-body and regional body fat using abdominal quantitative computed tomography in Chinese women and men.

BACKGROUND: Being overweight or obese has become a serious public health concern, and accurate assessment of body composition is particularly important. More precise indicators of body fat composition include visceral adipose tissue (VAT) mass and total body fat percentage (TBF%). Study objectives included examining the relationships between abdominal fat mass, measured by quantitative computed tomography (QCT), and the whole-body and regional fat masses, measured by dual energy X-ray absorptiometry (DXA), as well as to derive equations for the prediction of TBF% using data obtained from multiple QCT slices. METHODS: Whole-body and regional fat percentage were quantified using DXA in Chinese males (n = 68) and females (n = 71) between the ages of 24 and 88. All the participants also underwent abdominal QCT measurement, and their VAT mass and visceral fat volume (VFV) were assessed using QCT and DXA, respectively. RESULTS: DXA-derived TBF% closely correlated with QCT abdominal fat percentage (r = 0.89-0.93 in men and 0.76-0.88 in women). Stepwise regression showed that single-slice QCT data were the best predictors of DXA-derived TBF%, DXA android fat percentage and DXA gynoid fat percentage. Cross-validation analysis showed that TBF% and android fat percentage could be accurately predicted using QCT data in both sexes. There were close correlations between QCT-derived and DXA-derived VFV (r = 0.97 in men and 0.93 in women). CONCLUSION: Clinicians can assess the TBF% and android and gynoid fat percentages of Chinese women and men by analysing existing abdominal CT-derived data using the QCT technique.

Age-related changes in lumbar bone mineral density measured using quantitative computed tomography in healthy female cynomolgus monkeys.

Background: Cynomolgus monkeys are widely used in studies related to osteoporosis, and there is no evidence of age-related changes in volumetric bone mineral density (vBMD) measured using quantitative computed tomography (QCT) in nonhuman primates. This study aimed to describe changes in the characteristics of lumbar vBMD with age, to analyze the relationship between lumbar vBMD and body composition, and to investigate the precision of QCT measurements in healthy female cynomolgus monkeys. Methods: Age-related changes in lumbar vBMD were described using cubic regression models, and the accumulated bone loss rates (ABLR) of the lumbar spine were calculated. Spearman rank correlation and ridge regression analysis were used to investigate the relationship of the average lumbar vBMD and body components. Thirty animals were selected to analyze the short-term in vivo precision of the QCT measurements. The precision was expressed as the root-mean-square coefficient of variation (RMS-CV%) or root-mean-square standard deviation (RMS-SD). Results: A total of 72 healthy female cynomolgus monkeys, aged 1-25 years, were included in this study. The average lumbar vBMD of female cynomolgus monkeys increased with age until the age of 10 years, around which it reached peak bone mass, with a relatively marked decline after the age of 13 years. The ABLRs of female cynomolgus monkeys in the premenopausal (13-19 years) and postmenopausal age groups (20-25 years) were -4.9% and -21.2%, respectively. Ridge regression analysis showed that age and subcutaneous adipose tissue (SAT) contributed positively to the average lumbar vBMD in animals aged ≤10 years, whereas in animals aged >10 years, age contributed negatively to lumbar vBMD. The RMS-CV% (RMS-SD) of the lumbar vBMD measured using QCT ranged from 0.47% to 1.60% (1.91-6.31 mg/cm3). Conclusions: Age-related changes in lumbar vBMD measured using QCT in healthy female monkeys showed similar trends to those in humans. Age and SAT may affect the lumbar vBMD in female cynomolgus monkeys. QCT revealed good precision in measuring the lumbar vBMD in female cynomolgus monkeys.

Establishing age-adjusted trabecular bone score curves using dual-energy X-ray absorptiometry in Chinese women and men: a cross-sectional study.

Background: Trabecular bone score (TBS) is a relatively new gray-level textural parameter that provides information on bone microarchitecture. TBS has been shown to be a good predictor of fragility fractures independent of bone density and clinical risk factors. Estimating the normal reference values of TBS in both sexes among the Chinese population is necessary to improve the clinical fracture risk assessment. Methods: This retrospective study enrolled healthy Chinese participants living in Guangzhou, China, including 1,018 men and 3,061 women (aged 20-74 years). Bone mineral density images were obtained with dual-energy X-ray absorptiometry (DXA) scanning of the lumbar region (L1-4). Lumbar spine TBS values were calculated. The correlations between the scores and bone mineral density, age, height, and weight were calculated for men and women. A TBS reference plot was established in relation to age (20-74 years). Values 2 standard deviations below the mean score for each sex were used as the cutoff values for low-quality bone. Results: The TBS (L1-4) was significantly higher in Chinese men than in Chinese women. The scores peaked at 25-29 years (1.47±0.08 years) in men and at 20-24 years (1.43±0.08 years) in women. According to the statistical confidence interval, in Chinese males, a TBS ≥1.39 is considered normal, a TBS between 1.31 and 1.39 indicates partially degraded microarchitecture, and a TBS ≤1.31 indicates degraded microarchitecture. In Chinese females, a TBS ≥1.35 is considered normal, a TBS between 1.27 and 1.35 indicates partially degraded microarchitecture, and a TBS ≤1.27 indicates degraded microarchitecture. Conclusions: This study provides normative reference ranges for the TBS in Chinese men and women. Chinese men with a TBS score ≤1.31 and Chinese women with a TBS score ≤1.27 are can be considered to have reduced bone microarchitecture and may be at higher risk of having osteoporosis fractures.

The precision study of dual energy X-ray absorptiometry for bone mineral density and body composition measurements in female cynomolgus monkeys.

Background: Dual-energy X-ray absorptiometry (DXA) is a well-accepted tool for monitoring skeletal and body composition changes in biomedical studies. The nonhuman primate model is suitable for studies exploring the pathogenesis of and novel treatments for osteoporosis. Our objectives are to determine the precision of DXA detection in cynomolgus monkeys and to identify the difference in precision in lumbar bone mineral density (BMD) with various segment selections. Methods: Thirty adult female cynomolgus monkeys underwent duplicate total body DXA scans. Total body bone mineral density (BMDTB) and body composition, including bone mineral content (BMCTB), lean mass (LMTB), and fat mass (FMTB), were analyzed by enCORE software, while lumbar BMD was obtained by manual region-of-interest analysis. The precision was represented as the root-mean-square standard deviation (RMS-SD) and coefficient of variation (RMS-CV%), and least significant changes (LSCs) were reported. Results: The RMS-SD (RMS-CV%) of the repeated DXA analyses for BMDTB, BMCTB, LMTB and FMTB were 0.002 g/cm2 (0.50%), 0.90 g (0.42%), 0.015 kg (0.49%), and 0.031 kg (2.71%), respectively. The regional BMD precision (RMS-CV%) of the lumbar spine with various combinations ranged from 0.70% to 1.09%, The LSCs with 80% statistical confidence (LSC80) ranged from 1.27% to 1.97%, and LSC95 ranged from 1.94% to 3.01%. Conclusions: DXA provided excellent reproducibility in the measurements of BMD and body composition in nonhuman primates. We find DXA reliable for total and regional measurement in skeletal research and the evaluation of osteoporosis treatment with monkeys as animal models.