Journal of Clinical Densitometry最新文献

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.

The primary aim of this study was to explore the effects of team sports practice on bone health indices in adults engaged in team sports. The secondary aim was to investigate the osteogenic effects of each type of team sport. This systematic literature search was conducted using common electronic databases from inception in June 2023, using key terms (and synonyms searched for by the MeSH database) that were combined using the operators “AND”, “OR”, “NOT”: (``men'' OR ``man'' OR ``women'' OR ``woman'') AND (``bone mineral density'' OR ``BMD'' OR ``bone mineral content'' OR ``BMC'' OR ``peak bone mass'' OR ``mechanical loading'' OR ``osteoporosis'' OR ``bone geometry'' OR ``bone resistance'') AND (``team sport'' OR ``sport'' OR rugby OR basketball OR volleyball OR handball OR soccer OR football OR ``players''). After screening, 16 studies were included in the final analysis (5 continents, 2740 participants). The training duration lasted 1 to 13 years. Team sport training had a moderate impact on whole body bone mineral density (WB BMD) (1.07 SMD; 95 % [0.77, 1.37], p < 0.00) but a more significant impact on whole body bone mineral content (WB BMC) (1.3 SMD; 95 % [0.81, 1.79], p < 0.00). Subgroup analyses indicated that rugby training had a moderate but non-significant impact on WB BMD (1.19 SMD; 95 % [−0.13, 2.52], p = 0.08) but a greater impact on WB BMC (2.12 SMD; 95 % [0.84, 3.39], p < 0.00); basketball training had a moderate but significant impact on WB BMD (1 SMD; 95 % [0.35, 1.64], p < 0.00) and a trivial non-significant impact on WB BMC (0.18 SMD; 95 % [−1.09, 1.46], p = 0.78); volleyball training had a moderate but non-significant impact on WB BMD (0.63 SMD; 95 % [−0.22, 1.49], p = 0.15) and a significant impact on WB BMC (2.39 SMD; 95 % [1.45, 3.33], p < 0.00). Handball training produced a moderate significant impact on WB BMD (1.02 SMD; 95 % [0.33, 1.71], p < 0.00) and WB BMC (0.97 SMD; 95 % [0.47, 1.48], p < 0.00), and soccer training led to moderate but significant effects on WB BMD (1.16 SMD; 95 % [0.88, 1.44], p < 0.00) and a large effect on WB BMC (1.34 SMD; 95 % [0.92, 1.77], p < 0.00). Rugby training was associated with a higher WB BMC compared to basketball training (p = 0.03). Our systematic review and meta-analysis suggests that team sports, such as rugby, basketball, volleyball, handball and soccer have moderate to large effects on WB BMD and WB BMC. Specifically, our findings indicate that handball and soccer enhance WB BMD and WB BMC, whereas rugby only increases WB BMC. There is currently insufficient evidence indicating the superiority of any type of sport training that improves bone health in adults.

Introduction: Although different dual-energy X-ray absorptiometry (DXA) scanners provide different bone mineral density (BMD) values, there is not a gold standard DXA scanner. T-score is used to facilitate the interpretation of BMD, and osteoporosis (OP) is diagnosed based on T-scores. In this retrospective study, we aimed to evaluate the BMD and T-score differences between Lunar Prodigy and Hologic Horizon DXA scanners.

Methodology: Data were collected for patients with previous BMD measurement on Lunar Prodigy and Hologic Horizon DXA scanners within one year in the same medical center.

Results: In a total of 55 patients, BMD values of femoral neck/total, and lumbar vertebrae were all lower at Hologic than Lunar (all p < 0.01). The mean T-score difference at the lumbar spine was 0.74 ± 0.42 (p < 0.001). Of the 49 patients diagnosed as OP (T-score ≤−2.5) with the Hologic, the diagnoses were changed for 25 individuals (51.0 %) with Lunar (p < 0.001). Herewith, although the diagnoses of OP did not change by the repeat technique in other 24 patients (49 %), 13 of them (26.5 %) were categorized as having “high fracture risk” instead of “very high fracture risk” group (i.e., T-score <−3.0). We observed moderate-to-good reliabilities (with an intraclass correlation coefficient [ICC] of 0.633–0.878 and 0.733–0.842 for BMD and T-scores, respectively) between measurements with the Lunar and Hologic scanners. Except for one measurement in L3, L4, L1–4 vertebrae, the Bland–Altman plot did not reveal any consistent bias between the measurements of the Lunar and Hologic scanners.

Conclusions: The consistency between different DXA scanners (especially for Hologic vs. Lunar) is important for proper management, especially in patients with low T-scores and OP.