Journal of Clinical Densitometry最新文献

Introduction: Reliable peripheral quantitative computed tomography (pQCT) assessment is essential to the accurate longitudinal reporting of bone and muscle quality. However, the between-day reliability of pQCT and the influence of age on outcome reliability is currently unknown.

Objective: To quantify the same- and between-day reliability of morphological pQCT at proximal and distal segments of the forearm, shank, and thigh, and explore the influence of participant body size, age, and sex on outcome reliability.

Methods: Men and women (49 % female, 18-85 years, n=72-86) completed two consecutive-day pQCT testing sessions, where repeat measurements were conducted on day-one for technical error, and between-day for biological error quantification. Testing was undertaken following best practice body composition testing guidance, including standardized presentation and consistent time-of-day.

Results: All measurements of bone were classified as having ‘good’ to ‘excellent’ reliability [intraclass correlation coefficient (r=0.786- 0.999], as were measurements of muscle area (ICC r=0.991-0.999) and total fat (r=0.996-0.999). However, between- and same-day muscle density measurements at the thigh and forearm were classified as ‘poor’ (r=0.476) and ‘moderate’ (r=0.622), respectively. Likewise, intramuscular fat area at the thigh was classified as ‘moderate’ (r=0.737) for between-day measurement. Biological error was inflated compared to technical error by an average of 0.4 % for most measurements. Error values tended to increase proportionally with the amount of tissue quantified and males had significantly greater biological error for measurement of distal tibial bone (p<0.002) and trabecular area (p<0.002). Biological error was inflated among older adults for measurement of forearm muscle density (p<0.002).

Conclusions: Most pQCT outcomes can be implemented with confidence, especially outcomes that assess bone area and density at any of the radial, tibial, and femoral sites investigated herein. However, it is important to account for the influence of biological measurement error in further studies, especially for muscle and intramuscular fat outcomes derived by pQCT.

Previous studies have yielded inconsistent results regarding the relationship between obesity and bone mineral density (BMD). The aim of this study was to determine the influence of body composition on BMD and the serum sclerostin level in overweight and obese adults. The study had a cross-sectional design and included 90 men and 118 women with a body mass index ≥25. Fat mass, lean mass, and spinal and pelvic BMD were measured using dual-emission X-ray absorptiometry. Subcutaneous fat, visceral fat, and lean mass were measured between L2 and L3 by 16-slice spiral computed tomography. The serum sclerostin level was determined by enzyme-linked immunosorbent assay. Pearson analysis showed that fat mass and appendicular lean mass were positively correlated with spinal BMD in both sexes. A positive association of both fat mass and lean mass with pelvic BMD, which was stronger in women, was also found. Partial correlation analysis showed the positive association between fat mass and BMD was significantly attenuated but the positive association between lean mass and pelvic BMD remained after adjustment for age and body weight. A negative correlation was observed between visceral fat and spinal and pelvic BMD only in women, and the positive association between lean mass with pelvic BMD was more obvious in women than in men, indicating body composition seemed to have a greater impact on the BMD in women. The serum sclerostin level was positively associated with BMD but not with body composition. These findings suggest that the correlation between body composition and BMD is influenced by sex and skeletal site.

Purpose: People with spinal cord injury (SCI) experience a considerable loss of bone after the injury. Lumbar spine (LS) bone mineral density (BMD) has been reported to be within the normal range, or even higher when assessed with DXA, in people with SCI; hence, it has been hypothesized that sources of error may spuriously increase LS BMD. The aim of this study was to describe the frequency of potential sources of error that may alter LS BMD measurement in a cohort of individuals with chronic SCI at baseline and over a 2-year period. Methods: We analyzed baseline and 2-year follow up DXA scans (Hologic Discovery QDR 4500, Hologic Inc., MA, USA) previously performed from a cohort of males and females with chronic SCI. Two physicians independently reviewed each scan, commented on whether the scan was appropriate for BMD analysis, should be re-analyzed, or be removed from the dataset, and reported on the presence of potential sources of error in LS BMD measurement. Results: We reviewed 115 lumbar spine DXA scans from 58 participants, and 107 (93.0 %) scans from 52 participants presented at least one potential source of error. At baseline, the average number of potential sources of error per scan was 5.5 ± 1.7 and 5.7 ± 1.5 according to rater 1 and rater 2, respectively. Follow-up scans presented an average of 5.6 ± 1.6 and 5.7 ± 1.4 potential sources of error according to rater 1 and rater 2, respectively. Facet sclerosis, osteophytes and difficulty in detecting bone edges were the most prevalent sources of error. Conclusion: The high frequency of potential sources of error is consistent with current recommendations against the use of LS BMD for fracture risk assessment in people with SCI.

Objectives: Comparison of maxillary, mandibular, dental crown and root mineral density in human skeletons identified in historical excavations with today's human maxillary, mandibular dental crown and root.

Methods: After the skull images were obtained, four groups were created: maxilla 1, mandible 1 from the old period, maxilla 2 from the images taken from today's patients, and mandible 2 from the images taken from today's patients. Seventeen skeletons were previously classified as young age, middle age, and older age. Among the archive tomography images, 17 images from young (15-35), middle (36-56) and older (57 and over) age images were included in the study. HU value of the desired region was calculated automatically by the device using Region of interest (ROI).

Results: In this study, 34 jaws and 68 teeth were evaluated, including 7 mandibles and 10 maxillae from the late Roman period, and 8 mandibles and 9 maxillae from today's people. The average HU value of the crowns of mandibular anterior teeth from the late Roman period was measured as 2406.0. The average HU value of the crowns of maxillary anterior teeth was found to be 3383.8. In the posterior aspect, the average crown HU value measured in the maxilla was found to be higher than that in the mandible.

Conclusions: The finding showed that the density of dental tissues of ancient people, such as enamel and dentin forming the crown, and cementum and dentin forming the root, was significantly higher than today's people.

Objective: This study aimed to compare bone mineral density (BMD) values in patients with lumbar osteoarthritis (OA) with and without osteoporosis (OP). This study evaluated the effect of lumbar osteoarthritis in patients with osteoporosis on Dexa scores using the Lane and Wilke scale.

Methods: A total of 51 individuals with OA, 20 with OP, and 31 without OP were included in the study. Lumbar osteoarthritis was assessed and recorded using the Lane and Wilke scale. BMD was measured by dual-energy X-ray absorptiometry (DEXA) at the waist and hip (femoral neck, lumbar vertebrae). Frax assessed the risk of osteoporosis and fracture risk.

Results: The mean age of patients with OP was 68.1±8.2 years, and the mean age of patients without OP was 68.6±9.4 years. There was a significant decrease between the lumbar vertebrae and femoral neck BMD values of the two groups in favor of the osteoporosis group. The t-scores of the OP group were significantly lower (p = 0.045). All variables showed a statistically significant difference between the group with OP and those without OP (p<0.05). The median values of L1-L2, L2-L3, L3-L4, and total L1-L4 were higher in absolute value in the group with OP. In frax hip and frax primary osteoporosis, the median values were higher in the group with OP than in the group without OP (p = 0.023/p = 0.020). All L1-L2, L2-L3, and L3-L4 dexa parameters with and without OP were not significantly different between the groups according to the Lane and Wilke classification (p > 0.05).

Conclusion: There was no statistically significant difference between DEXA parameters in osteoporosis and non-osteoporosis patients with low back osteoarthritis (according to the Lane and Wilke classification).

Current tobacco smoking is included in FRAX^TM calculator for fracture risk assessment. It is unknown whether previous smoking increases the risk of fracture. The current analysis was performed to compare incident fracture risk associated with current smoking, smoking cessation and non-smoking. The study population comprised 18,115 individuals aged 40 years and older (mean age 68.8 years, 95.1% female) from a large clinical registry of DXA tests for the Province of Manitoba, Canada, with two consecutive visits (mean interval 4.4 years) where current smoking was recorded. Smokers (N=1620) were defined as those reporting current smoking at visit 2 (index date), non-smokers (N=15,942) as answering no to current smoking at both visits, and ex-smokers (N=553) as answering yes to current smoking at visit 1 but no at visit 2. Incident fractures were identified through healthcare data linkage. Compared with non-smokers, risk for any incident fracture (primary outcome) was significantly greater in current smokers (hazard ratio [HR] 1.41, 95% CI 1.19-1.67 adjusted for age/sex; HR 1.22, 95% CI 1.03-1.44 full adjusted) and ex-smokers (HRs 1.56, 95% CI 1.19-2.024 and 1.42, 95% CI 1.09-1.86, respectively). Similar directions and magnitudes of effect were seen for incident major osteoporotic fractures and hip fractures (secondary outcomes), with point estimates for ex-smokers that were close to current smokers. In summary, recent smoking cessation was associated with ongoing increased short-term fracture risk similar to current smoking. Larger studies are needed to better define the time course of fracture risk after smoking cessation.

The aim of the present study was to explore the effects of two types of resistance training modalities (hypertrophy training vs. contrast training) on bone health parameters in a group of healthy elderly women. Forty-nine healthy elderly women whose ages range between 60 and 70 years were included in this study. The study population was randomly divided into three groups: hypertrophy training group (HTG; n=16), contrast training group (CTG; n=16) and control group (CG; n=17). Bone mineral density (BMD) values at the whole body (WB), lumbar spine (L1-L4), total hip (TH) and femoral neck (FN) were measured by DXA before and after 12 months of resistance training. Composite indices of femoral neck strength were calculated. WB BMD, L1-L4 BMD, TH BMD and FN BMD increased in the contrast training group. WB BMD and L1-L4 BMD increased in the hypertrophy training group, while TH BMD and FN BMD remained unchanged. Significant decreases in WB BMD, L1-L4 BMD, TH BMD and FN BMD were observed in the control group. The contrast training group showed the highest improvements in BMD values compared to the two other groups. Both experimental groups (HTG and CTG) showed similar significant improvements in composite indices of femoral neck strength and muscular strength. In conclusion, contrast training and hypertrophy training can stimulate bone gain at clinically important sites of osteoporotic fractures in elderly women.

Introduction: Only change in bone mineral density (BMD) on repeat DXA that exceeds the 95% least significant change (LSC) should be considered clinically meaningful. Frequently lumbar spine DXA must be reported after omitting vertebrae with localized structural artifact, which reduces measurement precision. Previous reports have raised concerns of higher least significant change (LSC) when spine BMD is based on non-contiguous rather than contiguous vertebrae. The current study was performed to compare lumbar spine LSC and BMD response to intervening anti-osteoporosis medication use from non-contiguous versus contiguous vertebrae.

Methodology: LSCs for lumbar spine DXA based on L1-L4 and all combinations of non-contiguous and contiguous vertebrae were calculated using 879 scan-pairs from the Manitoba BMD Program. We compared BMD change from these regions, overall and in relation to intervening anti-osteoporosis medication use, in 11,722 patients who had 2 DXA examinations.

Results: LSCs were slightly greater when calculated from combinations of fewer than 4 vertebrae, but there was no meaningful difference between contiguous versus non-contiguous vertebrae. There were consistently high correlations between lumbar spine BMD change from L1-L4 and all combinations of continuous and non-contiguous vertebrae (all Pearson r≥ 0.9, p<0.001). Percentage changes in spine BMD and the fraction with treatment-concordant change exceeding the LSC were similar using contiguous or non-contiguous vertebrae.

Conclusions: Lumbar spine BMD change can be assessed from 2 or 3 non-contiguous vertebrae when clinically necessary, and precision in such cases is similar to using contiguous vertebrae. Non-contiguous vertebrae can detect treatment-concordant changes similar in spine BMD to contiguous vertebrae.

Nephritis and osteoporosis are debilitating medical conditions that significantly impact human health and reduce quality of life. To develop potential therapeutic strategies for these disorders necessitates understanding the genetic and molecular mechanisms. Here, we employed bioinformatics techniques purposed to find key genes and associated pathways responsible for nephritis-osteoporosis comorbidity. Six microarray datasets of systemic lupus erythematosus (SLE) and osteoporosis were retrieved from the Gene Expression Omnibus (GEO) database. Post normalization of data sets LIMMA package was utilized for differential expression analysis, among the datasets 44 differentially expressed genes (DEGs) were identified. The identified 44 genes were further analyzed for gene ontology (GO) where it was found that these genes are involved in defense response, organism interactions, and response to external stimuli. In predicting the molecular function, they were involved in several biological processes including binding to lipopolysaccharides and having peptidase and hydrolase activities. Firstly, the identified genes were primarily associated with certain granules such as specific granules and secretory granules in the aspect of cellular components. Enrichment analysis pointed out the potential pathways linked to the immune system, neutrophil degranulation, innate immunity, and immune response to tuberculosis. To examine interactions among DEGs, a complex protein-protein interaction (PPI) network was built, resulting in the identification of seven hub genes, CXCL8, ELANE, LCN2, MMP8, IFIT1, MX1, and ISG15. The study suggests that these elucidated hub genes might have high potential to be exploited as promising biomarkers and therapeutic targets in nephritis-osteoporosis. Taken together, this study provided deeper insights into the genetic and molecular basis for the comorbidity of nephritis and osteoporosis.

Prior to the initiation of intravenous bisphosphonate therapy for osteoporosis, the impact on ocular health is not routinely discussed with patients. This is due to the scarcity of data on the association between bisphosphonates and ocular side effects, resulting in lack of provider awareness to effectively counsel patients. Furthermore, there is little consensus among clinicians on the safety of re-challenging with intravenous bisphosphonate treatment following ocular complications. This is a case report of a patient who developed orbital inflammation four days after receiving a zoledronate infusion. This case was discussed amongst health care providers and osteoporosis experts during a meeting of Bone Health Extension for Community Healthcare Outcomes (ECHO) virtual platform, which was established in 2015.