To examine how vertebral attenuation changes with aging, and to establish age-adjusted CT attenuation value cutoffs for diagnosing osteoporosis.

This multi-center retrospective study included 11,246 patients (mean age ± standard deviation, 50 ± 13 years; 7139 men) who underwent CT and dual-energy X-ray absorptiometry (DXA) in six health-screening centers between 2022 and 2023. Using deep-learning-based software, attenuation values of L1 vertebral bodies were measured. Segmented linear regression in women and simple linear regression in men were used to assess how attenuation values change with aging. A multivariable linear regression analysis was performed to determine whether age is associated with CT attenuation values independently of the DXA T-score. Age-adjusted cutoffs targeting either 90% sensitivity or 90% specificity were derived using quantile regression. Performance of both age-adjusted and age-unadjusted cutoffs was measured, where the target sensitivity or specificity was considered achieved if a 95% confidence interval encompassed 90%.

While attenuation values declined consistently with age in men, they declined abruptly in women aged > 42 years. Such decline occurred independently of the DXA T-score (p < 0.001). Age adjustment seemed critical for age ≥ 65 years, where the age-adjusted cutoffs achieved the target (sensitivity of 91.5% (86.3-95.2%) when targeting 90% sensitivity and specificity of 90.0% (88.3-91.6%) when targeting 90% specificity), but age-unadjusted cutoffs did not (95.5% (91.2-98.0%) and 73.8% (71.4-76.1%), respectively).

Age-adjusted cutoffs provided a more reliable diagnosis of osteoporosis than age-unadjusted cutoffs since vertebral attenuation values decrease with age, regardless of DXA T-scores.

Question How does vertebral CT attenuation change with age? Findings Independent of dual-energy X-ray absorptiometry T-score, vertebral attenuation values on CT declined at a constant rate in men and abruptly in women over 42 years of age. Clinical relevance Age adjustments are needed in opportunistic osteoporosis screening, especially among the elderly.

Genetic studies have revealed hundreds of loci associated with bone-related phenotypes, including bone mineral density (BMD) and fracture risk. However, translating discovered loci into effective new therapies remains challenging. We review success stories including PCSK9-related drugs in cardiovascular disease and evidence supporting the use of human genetics to guide drug discovery, while highlighting advances in artificial intelligence and machine learning with the potential to improve target discovery in skeletal biology. These strategies are poised to improve how we integrate diverse data types, from genetic and electronic health records data to single-cell profiles and knowledge graphs. Such emerging computational methods can position bone genomics for a future of more precise, effective treatments, ultimately improving the outcomes for patients with common and rare skeletal disorders.

Early identification of osteoporosis promotes timely treatment. This retrospective study demonstrated that bone cortical percentage (2MCP) measured on hand X-ray in patients with inflammatory arthritis correlates significantly with bone density, fracture risk and fracture incidence. Routine hand X-ray 2MCP reporting could support identification of patients at risk of osteoporotic fractures.

Effective osteoporotic screening facilitates earlier identification and treatment of patients at risk. Bone mineral density (BMD) alone has limited sensitivity and may not always be available. This study aimed to show whether radiographic second metacarpal cortical thickness percentage (2MCP) correlates with BMD and fracture incidence.

This retrospective cohort study measured 2MCP in 230 patients with inflammatory arthropathies who underwent both DXA and hand radiograph within 6 months. BMD, FRAX and fracture history was gathered.

2MCP correlated with femoral neck BMD (p < 0.001), T-scores (p < 0.001), FRAX (p < 0.001) and major and all osteoporotic fracture incidence (p < 0.001) across all patient groups. 2MCP ≤ 55% was 88% sensitive and 51% specific in identifying patients with osteoporotic BMD (AUC 0.7893). 2MCP ≤ 65% and ≤ 73% were 100% sensitive for osteoporotic and osteopenic BMD respectively, whilst ≤ 30% and ≤ 39% were 100% specific. 2MCP ≤ 59% demonstrated 92% sensitivity for all low-impact fractures and 2MCP ≤ 56% was 87% sensitive for major osteoporotic fracture (MOF). 2MCP showed superior sensitivity and specificity to osteopenic femoral neck T-score for predicting MOF incidence (AUC 0.7009 and 0.6590). Combining 2MCP with T-score parameters enhanced sensitivity to 94.6% for MOF up to 2 years beyond the hand radiograph.

2MCP presents a fast, inexpensive adjunct to evaluate fracture risk. This technology may enhance BMD sensitivity in predicting MOF and improve global bone health assessment accessibility. 2MCP automation and routine inclusion in hand radiographs could optimise early awareness and diagnosis of patients at risk of osteoporosis and fractures.

The Dual-energy X-ray absorptiometry (DXA) scan is considered the current gold standard for the estimation of bone mineral density (BMD). Normative BMD data for the generation of T scores is based on data pertaining to young Caucasian white women from the NHANES-III study. However, there have been reports of significant ethnic variations in the normal BMD values, which could under/over-diagnose osteoporosis. The Indian Council of Medical Research (ICMR) has given the normative BMD data for Indians. Our study compares machine-generated T-scores (Tstd) based on Caucasian BMD reference data with calculated T-scores based on ICMR reference data (TICMR).

ETHNICA was a retrospective study involving 1144 individuals who underwent DXA study (Hologic®) at our centre. 835 females and 309 males aged between 18 and 95 were included. A total of 3420 BMD values at bilateral hips and L1-L4 levels of spine were analysed. The age distribution differed from that of the NHANES-III and ICMR reference dataset, which primarily includes younger individuals (20-29 years) as it was done to standardize T score. Gender-specific ICMR BMD and standard deviation (SD) for each site were used to calculate TICMR. This was compared with Hologic-generated Tstd, and the differences were analysed.

The prevalence of osteoporosis was significantly lower using ICMR data compared to NHANES-III data, with a greater reduction seen in males (16.8 to 7.1%) than in females (26.6 to 18%). Similarly, a larger increase in individuals classified with normal BMD was seen in males (59.5 to 76.1%) compared to females (41.2 to 59.6%).

We conclude that if we use NHANES-III BMD reference data, there is a significant overdiagnosis of osteoporosis and osteopenia in India. We recommend the adoption of representative regional reference standards for the diagnosis.

Bone regeneration processes are associated with a systemic skeletal change in bone quality, increasing the risk of fragility fractures. This condition may be aggravated in osteoporotic patients due to their limited osteogenic capacity. This work evaluates the impairment of the bone quality in osteoporotic sheep during a bone regeneration process. It provides a deeper understanding about the complex multiscale dynamics of bone mineral density, microstructure and chemical composition across different bone tissues, locations and time points.

Osteoporosis was induced in fifteen Merino sheep. A critical-size defect was then created in the sheep's right hind metatarsus and subsequently regenerated using distraction osteogenesis. The animals were randomly sacrificed during bone regeneration, either on days 40 or 100 after surgery. Computed tomography, micro-computed tomography and chemical composition analyses were conducted on different bone tissues (cortical, trabecular and woven) at several skeletal locations (the operated metatarsus, the contralateral one and the iliac crest) to assess the individual bone quality changes relative to the non-osteoporotic time point.

After osteoporosis induction, the trabecular tissue experienced a 6.4% reduction in the bone mineral density, while no significant changes were reported in cortical tissue quality. During bone regeneration, the operated bone increased significantly the woven ossification whilst the cortical mineral density decreased by 18.7%. Simultaneously, an early deterioration in the microstructure and chemical composition of the trabecular bone was observed in the iliac crest, persisting over time in non-operated trabecular regions.

Osteoporosis causes uneven degradation to trabecular tissue quality across different bone locations. Furthermore, the bone regeneration process via bone transport in osteoporotic subjects leads to a systemic skeletal disorder that further impairs the bone quality, surpassing the damage caused by osteoporosis alone. This impairment appears to be intensified by the pre-existing osteoporotic condition.

The purpose of this study is to systematically review and evaluate the accuracy of low-dose chest CT-based artificial intelligence in osteoporosis screening. A systematic literature search for relevant studies up to 13th December 2024 was performed in the PubMed, Scopus, Web of Science, and Cochrane Library databases. This meta-analysis was conducted in accordance with the PRISMA-DTA statement. Modified QUADAS-2 was used to assess the methodological quality of the studies. Quantification bias metrics were extracted to evaluate the performance of the AI models for vertebrae segmentation and labeling based on low-dose chest CT images. Pooled sensitivity, specificity, and area under the curve (AUC) were calculated. To assess publication bias, Egger test and funnel plot were conducted. Meta-regression and subgroup analysis were performed to explore potential heterogeneity. Eight studies suitable for the analysis were included. The pooled Dice similarity coefficient (DSC) for automatic vertebrae segmentation was 0.92 (95% CI 0.88-0.97). For the diagnosis of abnormal (osteoporosis + osteopenia) or osteoporosis participants, respectively, pooled sensitivities were 0.90 (95% CI 0.88-0.91) and 0.86(95% CI 0.82-0.89); pooled specificities were 0.90 (95% CI 0.88-0.91) and 0.93 (95% CI 0.92-0.94); and summary receiver operating characteristic (SROC) curves were 0.9653 and 0.9676. Meta-regression and subgroup analyses identified potential sources of heterogeneity, including result source (external dataset vs. internal dataset), ROI annotations (one radiologist vs. two radiologists), model developed with or without radiomics, and VBs segmentation output (included lumbar spine vs. only thoracic spine) (P < 0.05). The low-dose chest CT-based AI model shown promise information for identifying patients with osteoporosis or osteopenia who need further evaluation. Further prospective multi-center, multi-dataset studies are still required to assess the complementary role of the AI model in osteoporosis and osteopenia diagnosis through low-dose chest CT images.

Reduced bone mass and increased osteoporosis risk are common in people with multiple sclerosis (pwMS). The aim of the study was to identify risk factors for short-term bone loss in MS.

This prospective study included 139 pwMS (ages 18-65). Baseline data included demographics, body-mass index, physical activity, smoking, menopause status, 25-hydroxy vitamin D levels, and history of glucocorticoid use. Bone mineral density (BMD) was measured at baseline and after 2 years using dual-energy X-ray absorptiometry (DXA) for the lumbar spine and hip. Disability worsening was assessed by the Expanded Disability Status Scale (EDSS). Additionally, a literature review was conducted on longitudinal data regarding BMD in MS.

Over the 2-year follow-up period, significant BMD loss was observed in the hip (baseline g/cm2: median 0.898; IQR 0.808-1.014; 2-year follow-up: 0.882; 0.784-1.01; p < 0.001), but not in the lumbar spine. Overall, 101 (73.1%) experienced hip BMD loss, with a median decrease of 3.5%. Patients with disability worsening had an approximately 7-times higher risk of bone loss compared to those without disability worsening (p = 0.013). PwMS with fractures during the follow-up period had significantly lower hip BMD (0.760, 0.546-0.890 vs. 0.909, 0.828-1.015; p = 0.024), a higher EDSS score (4.4, 2.8-5.8 vs. 2.0, 1.0-4.0 vs. p = 0.026), and were older (59, 46-62 vs. 47, 37-54; p = 0.030) compared to those without fractures.

Disability worsening was identified as a risk factor for BMD loss. These findings underscore the need for active monitoring of pwMS with disability worsening to prevent bone loss and, thus, to reduce fracture risk.

Parathyroid hormone controls calcium and phosphate metabolism. The latter is also regulated by both FGF23 and 1-25(OH)2VitaminD. The polymorphic variant c.716 C > T of the FGF23 gene was previously found to be associated with renal phosphate leak/nephrolithiasis. The aim of our research is to study the metabolism of phosphate in a cohort of patients with primary hyperparathyroidism (PHPT) and its impact on bone and kidney.

We have retrospectively compared a large sample of sporadic PHPT patients (339) with historical comparison cohort (HCC 503: Olivetti Study Group and Siena Osteoporosis Study). Moreover, in 51 PHPT patients, phosphate metabolism indexes were also revaluated at least 2 years after surgical cure. The variant c.716 C > T of the FGF23 gene was genotyped in patients and in a small sample of the control group.

In PHPT patients we found higher levels of serum calcium, PTH, alkaline phosphatase, beta-C-terminal telopeptide (CTx), urinary calcium, while serum phosphate, 25OH-VitaminD, maximal tubular renal phosphate reabsorption adjusted for glomerular filtration rate (TmPO4/GFR) were lower than what was found in HCC. In PHPT patients fibroblast growth factor 23 (FGF23) levels were higher than in controls. Patients with kidney stones carried the 716 T allele more frequently than patients without it (χ2 7.20, p = 0.027). In PHPT patients revaluated at least 2 years after surgery, we observed a significant reduction of 1-25(OH)2VitaminD and FGF23. According to the median of serum phosphate levels, PHPT patients were subdivided into two subgroups: ≤2.8 mg/dL and > 2.8 mg/dL. The lowest phosphate group had a significantly higher serum calcium, PTH, 1-25(OH)2VitaminD, urinary calcium and a higher prevalence of kidney stones than in the highest phosphate group. The rate of males in the lowest phosphate group was significantly higher than in the highest phosphate group.

Our study shows that the regulators of phosphate metabolism in PHPT patients are higher than controls and they significantly reduce after surgical cure. PHPT patients with low serum phosphate have a worse biochemical and clinical phenotype.

The Fracture Risk Assessment Tool (FRAX, threshold ≥9.3 %), Osteoporosis Risk Assessment Instrument (ORAI, ≥9), Osteoporosis Index of Risk (OSIRIS, <1), Osteoporosis Self-Assessment Tool (OST, <2), and Simple Calculated Osteoporosis Risk Estimation (SCORE, ≥6) have been endorsed by the US Preventive Services Task Force for evaluating the need for bone mineral density measurement by dual-energy X-ray absorptiometry in postmenopausal women.

To systematically compare the sensitivity and specificity of the five osteoporosis risk assessment tools for detecting bone mineral density-defined osteoporosis.

A systematic search was conducted across the Cochrane Library, Embase, PubMed and Web of Science databases up to January 29, 2024, to identify observational studies that evaluated comparative accuracy of these tools in postmenopausal women. The Quality Assessment of Diagnostic Accuracy Studies-2 and its comparative extension were utilized to evaluate the risk of bias and applicability. Pooled odds ratios (ORs) and 95 % confidence intervals (CIs) for relative sensitivity and specificity were calculated using a multivariate random-effects model, with tool rankings determined by Surface Under the Cumulative Ranking (SUCRA).

17 studies were included, involving 9669 postmenopausal women with bone mineral density-defined osteoporosis and 34,143 without the condition. The SCORE (OR = 12.11, 95 % CI [4.46-32.86]) exhibited significantly higher sensitivity than FRAX, followed by ORAI (OR = 7.01, 95 % CI [2.84-17.31]) and OST (OR = 6.90, 95 % CI [3.07-15.52]). Compared to OSIRIS, higher sensitivity was observed for SCORE (OR = 4.92, 95 % CI [2.41-10.05]), ORAI (OR = 2.85, 95 % CI [1.63-4.99]), and OST (OR = 2.80, 95 % CI [1.58-4.97]). However, specificity was lower for SCORE (OR = 0.16, 95 % CI [0.08-0.33]), ORAI (OR = 0.26, 95 % CI [0.13-0.51]), and OST (OR = 0.28, 95 % CI [0.15-0.53]) compared to FRAX. Similarly, SCORE (OR = 0.25, 95 % CI [0.15-0.41]), ORAI (OR = 0.40, 95 % CI [0.26-0.62]), and OST (OR = 0.44, 95 % CI [0.27-0.69]) showed significantly lower specificity than OSIRIS. Based on SUCRA values, SCORE (98.2 %) ranked as the most sensitive tool, followed by ORAI (64.2 %) and OST (62.6 %), whereas FRAX (96.7 %) was the most specific, followed by OSIRIS (78.3 %).

The risk assessment tools for identifying postmenopausal women with bone mineral density-defined osteoporosis, endorsed by the US Preventive Services Task Force, can be categorized into two groups. SCORE (≥6), ORAI (≥9), and OST (<2) offer higher sensitivity, identifying more osteoporosis patients, whereas FRAX (≥9.3 %) and OSIRIS (<1) provide higher specificity, identifying those without the condition more accurately.

PROSPERO (CRD42024507532).

Poststroke osteoporosis, particularly of the hip, and an increased risk of fractures due to accidental falls are well known in people with stroke. Only a few of the current stroke guidelines recommend bone mineral density (BMD) measurements during follow-up in this population and measurements are often performed unilaterally.

To compare femoral hip BMD between fallers and nonfallers among patients with stroke, while also assessing differences in balance, mobility, fear of falling, and exploring discrepancies between paretic and nonparetic sides within each group.

Cross-sectional.

Inpatient stroke rehabilitation unit of a tertiary university hospital.

Patients with unilateral hemiplegia hospitalized as a result of stroke.

Not applicable.

The primary outcome was the femoral neck BMD measurement. Dual-energy x-ray absorptiometry was used to measure BMD. Secondary outcomes included Berg balance scale (BBS), timed up-and-go test (TUGT), functional ambulation classification (FAC), and falls efficacy scale-international (FES-I).

A total of 44 patients were enrolled. Twenty-two participants (50%) reported falling. There were no statistically significant differences in BMD (p = .504, p = .197, p = .667, respectively) and T-scores (p = .457, p = .194, p = .693, respectively) of paretic, nonparetic femoral neck, and lumbar spine between nonfallers and fallers. The BBS (p = .033, 95% confidence interval [CI] 0.17-19.05) was significantly lower in the fallers. The FES-I was statistically significantly higher in the fallers (p = .001, 95% CI -22.40 to -6.50). The BMD and T-scores of femoral neck between the paretic and the nonparetic limbs did not differ significantly in the nonfallers (n = 22) (p = .908, 95% CI -0.03-0.03; p = .886, 95% CI -0.27-0.24) but did differ in the fallers (n = 22) (p = .007, 95% CI -0.06 to -0.01; p = .006, 95% CI -0.51 to -0.09).

This study emphasizes that hip BMD may differ on paretic and nonparetic sides, especially in patients with stroke and a history of falls and balance problems. Fall-related self-efficacy and balance may be determinants of falls in these patients.

The risk of major osteoporotic fractures (MOFs) and osteoporosis in patients with autoimmune Addison's disease (AAD) is unclear.

To investigate the risk of MOF in patients with AAD and the possible correlation with adrenal hormone replacement doses.

Swedish national health registers were used to identify 1869 subjects with AAD and 16,844 matched controls. The primary outcome was MOF, and the secondary outcome was treatment with osteoporosis medications. Marginal Cox models were used to compare time-to-event outcomes. The study period spanned from 1 July 2005 until 31 December 2020. Individuals at risk were followed from inclusion until censored or the end of the study period.

A total of 77 patients with AAD (7.1/1000 person-years [PY]), and 387 matched controls (3.9/1000 PY) were diagnosed with MOF. The risk of MOF was higher in patients with AAD compared to matched controls, with an adjusted hazard ratio (aHR) of 1.82 (95% confidence interval [CI], 1.41-2.35) and increased in both male and female patients, with aHR of 2.51 (95% CI, 1.56-4.02) and 1.65 (95% CI, 1.22-2.24), respectively. Patients with AAD had an increased risk of treatment with osteoporosis medications: aHR 3.25 (95% CI, 2.71-3.99), compared to controls. No significant differences in MOF rates were observed between patients treated with intermediate or high doses of glucocorticoids compared to low doses (p = 0.967 and p = 0.580, respectively). Similarly, stratification by mineralocorticoid dose (<0.10 vs. ≥0.10 mg/day) showed no significant association regarding MOF (p = 0.915).

The risk of MOF is increased in patients with AAD without any apparent correlation to adrenal hormone replacement doses.

The purpose of this study is to conduct a meta-analysis to evaluate the diagnostic performance of current radiomics models for diagnosing osteoporosis, as well as to assess the methodology and reporting quality of these radiomics studies.

According to PRISMA guidelines, four databases including MEDLINE, Web of Science, Embase and the Cochrane Library were searched systematically to select relevant studies published before July 18, 2024. The articles that used radiomics models for diagnosing osteoporosis were considered eligible. The Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool and radiomics quality score (RQS) were used to assess the quality of included studies. The pooled diagnostic odds ratio (DOR), sensitivity, specificity, area under the summary receiver operator characteristic curve (AUC) were calculated to estimated diagnostic efficiency of pooled model.

A total of 25 studies were included, of which 24 provided usable data that were utilized for the meta-analysis, including 1553 patients with osteoporosis and 2200 patients without osteoporosis. The mean RQS score of included studies was 11.48 ± 4.92, with an adherence rate of 31.89%. The pooled DOR, sensitivity and specificity for model to diagnose osteoporosis were 81.72 (95% CI: 51.08 - 130.73), 0.90 (95% CI: 0.87-0.93) and 0.90 (95% CI: 0.87-0.93), respectively. The AUC was 0.96, indicating a high diagnostic capability. Subgroup analysis revealed that the use of different imaging modalities to construct radiomics models might be one source of heterogeneity. Radiomics models built using CT images and deep learning algorithms demonstrated higher diagnostic accuracy for osteoporosis.

Radiomics models for the diagnosis of osteoporosis have high diagnostic efficacy. In the future, radiomics models for diagnosing osteoporosis will be an efficient instrument to assist clinical doctors in screening osteoporosis patients. However, relevant guidelines should be followed strictly to improve the quality of radiomics studies.

This study examined the impact of social determinants of health (SDOH) on osteoporosis management and secondary fractures after primary fragility fractures. Despite similar osteoporosis treatment rates between patients with and without adverse SDOH, patients with adverse SDOH experienced significantly higher secondary fracture rates, highlighting the need for targeted interventions to improve post-fracture care in socioeconomically disadvantaged populations.

Osteoporosis is a global health concern affecting over 500 million people. Fragility fractures are often the first indication of osteoporosis and are associated with significant morbidity and mortality. While low socioeconomic status is associated with increased risk of fragility fractures, the impact of social determinants of health (SDOH) on osteoporosis treatment and secondary fracture rates following primary fragility fractures remains unclear.

Patients aged 50 and older who sustained primary fragility fractures and had no prior osteoporosis treatment were identified using a large national database. Patients were stratified by the presence of adverse SDOH. Kaplan-Meier and multivariate Cox proportional hazards regression analyses were performed to evaluate the cumulative incidence of osteoporosis treatment within 1 year (including bisphosphonates, biologics, parathyroid hormone analogs, estrogens, and selective estrogen receptor modulators) and rates of secondary fractures within two years.

A total of 276,845 patients were included in this study. Overall, 4.4% of patients with adverse SDOH and 5.3% of patients without were prescribed osteoporosis treatment within a year of fracture; however, this difference was not significant after controlling for confounders (hazard ratio (HR) 0.98; P = 0.82). Patients with adverse SDOH had significantly higher rates of secondary fractures within 2 years (7.4% versus 6.0%; HR 1.29; P < 0.001).

Adverse SDOH were associated with increased rates of secondary fractures among patients with primary fragility fractures, despite similar osteoporosis management rates between groups. Overall, osteoporosis treatment rates remain low. Targeted strategies to optimize secondary prevention and tailored interventions are needed, particularly for socioeconomically disadvantaged populations.

Depressive symptoms and the severity of osteoporosis in cancer survivors significantly affect the patient's quality of life. The correlation between osteoporosis and depressive symptoms in this population has not been examined in prior studies. This cross-sectional study utilized National Health and Nutrition Examination Survey data from 2005 to 2020 to explore the correlation between osteoporosis and depressive symptoms in cancer patients.

We utilized confounder-adjusted multivariate logistic regression models to examine the relationship between osteoporosis and depressive symptoms. Subgroup and interaction analyses were performed according to age and gender to detect potential differences among various demographic groups. Furthermore, smoothing curve fitting and subgroup smoothing curve fitting were employed to evaluate the nonlinear association between bone mineral density and depressive symptom scores.

Two thousand one hundred and fifty-five adult cancer patients satisfied the inclusion and exclusion criteria and were recruited in the research. Statistical analysis demonstrated a significant negative correlation between depressive symptoms and the risk of developing osteoporosis in cancer patients after controlling for multiple variables [OR 0.57, 95% CI (0.46-0.70), p < 0.01]. Subgroup analyses revealed more pronounced associations in women [OR 0.18, 95% CI (0.12-0.27), p < 0.01] and older adults [OR 0.09, 95% CI (0.06-0.13), p < 0.01]. Furthermore, smooth curve fitting results displayed a W-shaped curve between bone mineral density and depressive symptom scores. This W-shaped curve association was especially prominent among older patients in subgroup analyses.

This study demonstrates a negative correlation between depressive symptoms and the incidence of osteoporosis in cancer survivors, notably evident among the elderly and female populations. Our research addresses the relationship between depressed symptoms and osteoporosis in cancer survivors, revealing a negative association that may alleviate psychological distress and enhance the quality of life in this population.

A negative correlation between depressive symptoms and osteoporosis in cancer patients, particularly pronounced in the elderly and female survivors. Additionally, a W-shaped relationship was observed between bone mineral density and depression scores, with greater significance in the older group.

Klotho, a protein known for its significant involvement in the aging process and age-related diseases, has been demonstrated to be inextricably linked to osteoporosis. Nevertheless, the relationship between serum Klotho levels and mortality risk among individuals with osteoporosis has not been definitively established. Therefore, the purpose of the current research is to examine the potential relationship between serum Klotho levels and mortality risk in individuals aged 40 and above with osteoporosis.

The current study included adults aged 40 years and older diagnosed with osteoporosis from the National Health and Nutrition Examination Survey. Osteoporosis diagnosis was based on a history of osteoporosis or bone mineral density. Moreover, Cox proportional hazards regression, Kaplan-Meier (KM) curves, and restricted cubic spline (RCS) curves were utilized to assess the relationship between Klotho levels and mortality risk. In addition, subgroup analysis was performed using stratification and interaction analysis for all covariates.

A total of 1004 participants (median age: 65 years) with a median follow-up of 9.33 years were included in the final analysis. This study found that serum Klotho levels established a U-shaped relationship with the risk of all-cause mortality in individuals with osteoporosis, with a nadir of Klotho levels was approximately 900 pg/mL, in which lower (< 850 pg/mL) or higher (> 950 pg/mL) Klotho levels were significantly associated with an increased risk of all-cause mortality. Moreover, the results of subgroup analysis indicated that the associations between Klotho levels and mortality risk were modified by several factors, especially a history of hypertension. Specifically, Klotho levels established an L-shaped relationship with the risk of all-cause mortality among participants with a history of hypertension, while a positive and linear relationship with the risk of all-cause mortality among those without a history of hypertension.

For individuals with osteoporosis, it is necessary to be alert to cases with high or low Klotho levels, which may potentially indicate an increased mortality risk.

In the CNHR study, 35% of postmenopausal women had osteoporosis by BMD or fragility fracture, and 4% had both. Three men ≥ 50 had osteoporosis by BMD or fragility fracture (33.3%; n = 3/9). This suggests that close follow-up of skeletal health is necessary in postmenopausal women, and men ≥ 50 with chronic HypoPT.

Chronic hypoparathyroidism (HypoPT) has been associated with decreased bone turnover and abnormalities in bone mineral density (BMD), microarchitecture, and strength. Current guidelines do not recommend systematic evaluation of skeletal health in patients with chronic HypoPT. Our study assessed skeletal health in pre- and postmenopausal women with chronic HypoPT and adult men.

This prospective study enrolled adults with chronic HypoPT from the Canadian National Hypoparathyroidism Registry. Clinical characteristics, bone fractures, biochemistry, and serum bone biomarkers were assessed at baseline. Skeletal health evaluation included assessments of fragility fractures, BMD at lumbar spine (LS), femoral neck (FN), total hip (TH), 1/3 radial sites, trabecular bone score (TBS), and bone biomarkers.

We present the baseline data of the patients enrolled in the registry. We analyzed a total of 101 patients: 18 men, 35 premenopausal, and 48 postmenopausal women. The mean (SD) age at the onset of HypoPT was 40.7 (16.8) years, and the average disease duration was 11.2 (8.6) years. The most common etiology was postsurgical (74.3% vs. 25.7% non-surgical). Most patients received calcium supplements (89%) and active vitamin D (80%) at baseline. No fragility fractures or low BMD were reported in premenopausal women. However, BMD at LS, FN, TH, and TBS were significantly lower in postmenopausal compared to premenopausal women.

Overall, 35% of postmenopausal women had osteoporosis by BMD or prior fragility fracture, and 4% had both. Three men ≥ 50 years had osteoporosis by BMD or fragility fracture (33.3%; n = 3/9). This study suggests that close follow-up of skeletal health is necessary in postmenopausal women with chronic HypoPT and men ≥ 50 years.

Nonlinear homogenised finite element (hFE) models can accurately predict stiffness and strength of ultra-distal sections of the radius and tibia using in vivo HR-pQCT images. Recent findings showed good stiffness prediction at these distal sections but a limited ability to reproduce experimental strain localisation. The coarseness of voxel-based meshes reduces the computational effort at the cost of heavily simplifying the underlying geometry of the cortex, the gradient of material properties, and the resulting strain distribution. To overcome these limitations, we present a comprehensive approach to generating fully automated, smooth, and structured hexahedral meshes for HR-pQCT scans at the distal radius and tibia. This study used three datasets to validate the proposed hFE pipeline and its short-term repeatability: ex vivo 2nd generation HR-pQCT images of 21 human radii and 25 human tibiae, and 208 in vivo images from same-day repeated scans on 39 individuals. Results show high accuracy in predicting stiffness (tibia: R2=0.94, radius: R2=0.88) and yield force (tibia: R2=0.93, radius: R2=0.95). Mesh sensitivity analysis reveals stabilisation within a ± 3 % error margin. Dice similarity coefficients between mesh and scanned image were >0.98, and good element quality was achieved across the validation datasets (tibia: S-ICNavg=0.809, radius: S-ICNavg=0.764). Along with the improved volumetric representation of distal cortical and trabecular bone geometry and the good element quality, the new pipeline shows gains in computational performance: 11.70±1.49 min for triple-stack tibia images and 11.00±0.97 min for double-stack radius images, respectively. Generating structured meshes with consistent element-to-element correspondence facilitates seamless comparison between patient models or in longitudinal settings, providing an additional clinical information.

The role of amino acids (AAs) with bone health is still controversial. We examined the association between AAs and osteoporosis in a cross-sectional study of 135 participants aged 45 years or older from the Second Hospital of Jilin University. Plasma AAs were measured with targeted quantitative methodology. We measured bone mineral density (BMD) with dual energy x-ray absorptiometry, and osteoporosis was defined as a T-score ≤ -2.5. We estimated odds ratios (OR) and corresponding 95% confidence intervals (CIs) for the associations between AAs (per 1 standard deviation increase) with osteoporosis. Approximately 18.5% of participants (n = 25) had osteoporosis. Total (adjusted β = 0.052; P = 0.002) and non-essential AA (adjusted β = 0.064; P = 0.002) levels were associated with femoral neck BMD T-scores. Greater levels of total (adjusted OR: 0.734; 95% CI: 0.655-0.821), essential (adjusted OR: 0.763; 95% CI: 0.623-0.934) and non-essential AAs (adjusted OR: 0.721; 95% CI: 0.629-0.826) were associated with lower odds of osteoporosis. Higher tryptophan (adjusted OR: 0.498; 95% CI: 0.281-0.882), cysteine (adjusted OR: 0.561; 95% CI: 0.321-0.983), glycine (adjusted OR: 0.513; 95% CI: 0.285-0.922), and ornithine levels (adjusted OR: 0.581; 95% CI: 0.345-0.978) were associated with reduced osteoporosis risk. Higher AA levels were associated with higher femoral neck BMD, and lower odds of osteoporosis.

According to World Health Organization, one in six people will be older than 60 by 2030. The rising life expectancy is anticipated to contribute to a subsequent increase of geriatric fractures worldwide. Osteosarcopenia, which is the coexistence of osteoporosis and sarcopenia, greatly affects older people. Recent studies have tried to identify the prevalence of osteosarcopenia in older populations as well as its correlation with fragility fractures such as hip fractures. The latter pose a major burden on both health loss and costs worldwide. Increasing amount of evidence suggests that osteosarcopenia in patients with hip fractures contributes to higher rates of mortality and complications. At the same time, research focuses on the molecular basis of the interplay between osteoporosis and sarcopenia by utilizing genomic or proteomic approaches. These promising studies could reveal potential preventive or diagnostic biomarkers to optimize the management of osteosarcopenia in hip fractures patients. The fact that bones and muscle can also function as endocrine organs further highlights the complex relationship between osteoporosis and sarcopenia, underscoring the need for a better understanding of the role of myokines and osteokines in osteosarcopenia. Finally, the impact of osteosarcopenia on pain management and rehabilitation after hip fracture surgery, requires further assessment.

We aimed to systematically review and conduct a meta-analysis of the available evidence about the association between dietary acid load (DAL) and fractures in adults.

Relevant studies were searched through Web of Science, Scopus, PubMed, and Google Scholar until October 2024. The random-effect model was used to calculate the pooled Odd ratios (OR) and 95% confidence intervals (CIs). Publication bias was evaluated by statistical test of Egger. Subgroup analyses were conducted by study confounders. Moreover, the quality of studies was asessed using the Newcastle Ottawa Scale which is designed for observational studies.

Six studies were included in this review. According to the methodological heterogeneity between studies and their different charactristics, we performed the analysis based on random-effect model that indicated a marginally significant association between DAL and risk of fracture (N event = 5275, Pooled OR: 1.10; 95% CI: 0.99-1.21, P = 0.073) (I2 = 12.9%; P = 0.321). According to subgroup analysis, there was no significant association between DAL and risk of fracture in the cross-sectional effect sizes (N event = 337, OR:0.69; 95%CI:0.47-1.00). There was a significant association between DAL and a greater risk of fracture in cohort studies (N event = 4938, OR:1.12; 95%CI:1.03-1.22, P = 0.006). Also, high-quality studies (OR:1.12; 95%CI:1.03-1.22; P = 0.006) showed a significant association between DAL and fracture risk.

DAL was marginally related to a higher risk of fracture. This finding is a trigger for bone health management with a healthy balanced dietary intake.

We performed a systematic review and meta-analysis of observational studies aimed at investigating the prevalence of osteoporosis and osteoporotic fractures in subjects affected by systemic vasculitides (SVs) as well as to explore their risk of osteoporosis and osteoporotic fractures when compared to healthy controls.

Scopus, Web of Science and PubMed were systematically searched from inception to February 2024 for observational studies investigating the prevalence of osteoporosis and fragility fractures in adults with SVs. In addition, when available, we assessed the odd ratios (OR) of prevalent osteoporosis and fragility fractures amongst subjects with SVs vs. healthy controls. Data from eligible studies were extracted, and meta-analysis was performed using a random effects model to obtain ORs with 95% confidence intervals (CIs). Subgroup analyses and meta-regressions were also performed. This study was registered in Open Science Framework (DOI: https://doi.org/10.17605/OSF.IO/3G7RJ).

Forty studies with 23,358 individuals affected by SVs were included. The overall prevalence of osteoporosis and fragility fractures in the SV patients were respectively 14.64% (95%CI 12.21-18.89), and 17.08% (95%CI 11.42-24.78). The ORs for osteoporosis and fragility fractures in SV patients when compared with healthy controls were 2.92 (95%CI 1.72-4.98) and 2.39 (95%CI 1.34-4.26) respectively. The univariable meta-regression analysis showed a significant association between cumulative glucocorticoids' dosage (total grams) and risk of prevalent osteoporosis (estimate = 0.0995, R2 = 0.24, p=0.0194).

SVs are associated with an increased risk for osteoporosis and fragility fractures, suggesting that active vigilance and pre-emptive screening are recommended.

https://archive.org/details/osf-registrations-3g7rj-v1.

Immune checkpoint inhibitors (ICIs) are widely used in cancer treatment, yet their impact on bone health remains unclear. This study aimed to perform a retrospective cohort study utilizing routine CT scans from patients with melanoma to perform opportunistic QCT analysis to investigate the effects of ICI treatment on skeletal health, including volumetric BMD (vBMD) measurements and osteoarthritis (OA) parameters. A previously established machine learning-assisted opportunistic QCT pipeline was used to estimate lumbar spine vBMD from baseline and 12-mo follow-up CT scans in patients with melanoma treated with ICI therapy and those not treated with ICI therapy. Facet joint OA, osteophyte formation, and endplate sclerosis were also graded. Independent and paired t tests were used to determine any differences in vBMD and OA parameters between ICI users and non-ICI users. Multivariable linear regression models were used to control for confounding variables. Non-ICI users had a significant decrease in vBMD of -6.96 mg/cm3 from baseline to follow-up, whereas the ICI users had no significant change. There was a significant difference in change in vBMD from baseline to follow-up between the 2 groups, with the non-ICI users experiencing a 11.22 mg/cm3 larger decrease in vBMD. After adjusting for baseline age, sex, baseline vBMD, and change in OA parameters, this difference remained significant at -13.04 mg/cm3. Among the ICI users, those who had a decline in vBMD had a lower baseline vBMD compared with those who had increased vBMD. Neither group showed a significant change in OA parameters over the follow-up period, nor a difference in change between ICI and non-ICI users, even after adjusting for sex, age, and baseline OA parameters. While the effects of ICI treatment on vBMD may vary based on baseline bone health, ICIs do not significantly impact OA parameters in the short term.

Evidence from observational studies suggested oral diseases (periodontitis (PD) and dental caries) may increase susceptibility to bone loss. However, inherent confounding of observational studies limits causal interpretation. We aimed to conduct Mendelian randomization (MR) analysis to estimate the causal effect of oral diseases on osteoporosis (OP), bone mineral density (BMD) and fracture risk.

We used summary-level GWAS meta-analysis data from the GLIDE consortium to identify 7 and 17 single-nucleotide polymorphisms (SNPs) for periodontitis and DMFS (the sum of Decayed, Missing, and Filled tooth Surfaces) as the instrumental variables. MR analyses of these instruments were performed on European individuals for the association with BMD of forearm, femoral neck and lumbar spine; and individuals from FinnGen consortium for OP, OP with pathological fracture, postmenopausal OP with pathological fracture, and site-specific fractures. We performed single-variable Mendelian randomization (SVMR) and multivariable Mendelian randomization (MVMR) to simultaneously assess independent causal effects of PD and DMFS on different outcomes. The estimates were primarily derived using inverse variance weighted (IVW) methods. Sensitivity analyses included weighted median, MR-egger, and Leave-one-out test.

In MVMR, after adjusting for PD, DMFS has a positive causal effect osteoporosis (OR = 1.165, [95% CI 1.020 to 1.331, P = 0.025]) and postmenopausal OP with pathological fracture (OR = 1.422, [95% CI 1.027 to 1.969, P = 0.034]). However, these causal relationships were not observed in the single-variable Mendelian randomization (SVMR) analysis. The causal associations were robust in various sensitivity analyses.

In conclusion, dental caries causally increases the risk of OP and postmenopausal OP with pathological fracture, suggesting the existence of teeth-bone axis. Proactive osteoporosis screening in patients with severe dental caries may be warranted for clinical consideration.

In Parkinson's disease (PD), the propensity to fall and the higher risk of osteoporosis converge yielding a high fracture risk. Updated National Osteoporosis Guideline Group (NOGG) guidance recommends that PD should trigger a risk assessment, for example using the FRAX tool, yet clinical pathways remain sub-optimal. To address this, we generated an algorithm for the assessment and management of bone health specifically in PD.

Within the Proactive and Integrated Management and Empowerment in Parkinson's Disease randomised controlled trial (PRIME-UK RCT), bone-health metrics were collected, and all participants were offered a dual X-ray absorptiometry scan. The FRAX tool was used to obtain the 10-year probability of hip and major osteoporotic fracture (MOF), and the resulting NOGG risk-category recorded. Probabilities were recalculated including femoral-neck bone mineral density (FN-BMD) and/or with numeric adjustment for recurrent falls, and results compared.

Among 182 people with parkinsonism (mean age 73.8 years, 65% male, median disease duration 5 years), 28% reported a prior fragility fracture, and 40.7% recurrent falls over the previous year. 28.6% had MOF above NOGG intervention thresholds (IT); whilst 12.1% had a FN-BMD T-Score ≤ -2.5. Recalculation of FRAX with FN-BMD (n = 182) reduced fracture MOF and hip fracture probabilities; 12 (6.6%) deescalated below the IT, and 16 (8.8%) moved above the IT.

This 2024 BONE-PARK algorithm is informed by both the latest NOGG Guidelines and novel findings in a 'real-world' population. The algorithm will aid bone health assessment for people with PD.

This study utilized deep learning for bone mineral density (BMD) prediction and classification using biplanar X-ray radiography (BPX) images from Huashan Hospital Medical Checkup Center. Results showed high accuracy and strong correlation with quantitative computed tomography (QCT) results. The proposed models offer potential for screening patients at a high risk of osteoporosis and reducing unnecessary radiation and costs.

To explore the feasibility of using a hybrid deep learning framework (HDLF) to establish a model for BMD prediction and classification based on BPX images. This study aimed to establish an automated tool for screening patients at a high risk of osteoporosis.

A total of 906 BPX scans from 453 subjects were included in this study, with QCT results serving as the reference standard. The training-validation set:independent test set ratio was 4:1. The L1-L3 vertebral bodies were manually annotated by experienced radiologists, and the HDLF was established to predict BMD and diagnose abnormality based on BPX images and clinical information. The performance metrics of the models were calculated and evaluated.

TheR 2 values of the BMD prediction regression model in the independent test set based on BPX images and multimodal data (BPX images and clinical information) were 0.77 and 0.79, respectively. The Pearson correlation coefficients were 0.88 and 0.89, respectively, with P-values < 0.001. Bland-Altman analysis revealed no significant difference between the predictions of the models and QCT results. The classification model achieved the highest AUC of 0.97 based on multimodal data in the independent test set, with an accuracy of 0.93, sensitivity of 0.84, specificity of 0.96, and F1 score of 0.93.

This study demonstrates that deep learning neural networks applied to BPX images can accurately predict BMD and perform classification diagnoses, which can reduce the radiation risk, economic consumption, and time consumption associated with specialized BMD measurement.

The gold standard method for diagnosing low bone mineral density (BMD) is using dual-energy X-ray absorptiometry (DXA) however, most patients with low BMD are often not screened. We aimed to create a deep learning (DL) model to screen for osteoporosis/osteopenia in patients by using radiographs of the foot or ankle.

This is a retrospective cross-sectional study of patients aged ≥50 years who received X-rays of the foot or ankle and DXA (gold-standard) within 12 months. The 907 (White (96.7 %), Black (1.8 %) and Asian (0.4 %)) patients (3109 radiographs) were randomized (80:20) into training/validation and test datasets, and results were assessed by patient. We developed a novel DL model that extracted deep features from the radiographs of the foot and ankle using a customized architecture. The diagnostic performance of this DL model to predict if a patient had low BMD (osteopenic/osteoporotic) or normal BMD based on DXA, was evaluated with the area under the curve (AUC), sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV).

Mean patient age (standard deviation) was 66.9(9.0) years, and 84.6 % were female. 81.3 % and 18.7 % of patients in the training/validation dataset, and 81.5 % and 18.5 % of patients in the test datasets were osteopenic/osteoporotic and normal respectively. The DL model had an AUC of 0.87 (95% CI (0.85, 0.94), sensitivity of 89.89 %, specificity of 83.65 %, PPV of 90.78 % and NPV of 74.14 % in the test dataset. The model had an accuracy of 94.65 % in the training/validation dataset and 89.89 % in the test datasets.

Our DL model has the potential to identify patients with osteopenia/osteoporosis using foot or ankle radiographs with high accuracy.

Dietary quality may be a factor in the progression of non-communicable, chronic diseases. This analysis of NHANES data demonstrates association between consumption of UPF and prevalence of osteoporosis and osteopenia in adults 50 years and older. UPF intake is an important consideration when recommending dietary patterns for optimum bone health PURPOSE: Declining bone mineral density in older adults can result in osteoporosis, leading to decreased physical function, quality of life, and increased risk of mortality. Poor dietary quality may contribute to the progression of this disease. This study explores the association between the consumption of ultra-processed foods (UPF) and the prevalence of osteoporosis and osteopenia in adults aged 50 years and older.

Using regression analysis and adjusting for covariates, 24-h recall data from adults 50 years and over in four cycles of NHANES were examined for associations between prevalence of osteoporosis and intakes of UPF as a proportion of daily energy intake.

Mean (SE) intake of UPF as a proportion of total daily energy ranged from 29.5% (0.3) in the lowest quintile to 76.3% (0.3) in the highest. 50.5% of women and 28.0% of men had osteopenia, 8.2% and 1.8%, respectively, had osteoporosis. Increased risk of osteopenia or osteoporosis was observed in the highest quintile of UPF intake compared to that of the lowest: OR 1.52 (95% CI 1.28, 1.79). The odds of self-reported prior fractures at hip, wrist, or spine in women increased by 1.9% for every percentage increase in proportion of UPF intake (95% CI 1.003, 1.035). Increased risk of fracture was not observed among men.

These findings indicate an association between osteoporosis and osteopenia and the intake of UPF as a proportion of total daily energy. Further investigation into the impact of dietary quality on osteoporosis and fracture risk is warranted, particularly in post-menopausal women.

Using data from NHANES for years 2005-2018, we examined temporal trends in osteoporosis prevalence and the proportion of undiagnosed osteoporosis in the United States of America. Our results suggested statistically significant increases in osteoporosis prevalence across several demographic groups. These findings carry profound implications for public health, given increased life expectancy and burden of chronic diseases.

This is the first study to assess osteoporosis prevalence trends over time and the proportion of undiagnosed osteoporosis across gender, ethnicity/race, and age groups.

Observational time trend analyses were conducted using the 2005-2006, 2007-2008, 2009-2010, 2013-2014, and 2017-2018 National Health and Nutrition Examination Survey (NHANES) datasets, along with a descriptive analysis using the 2017-2018 NHANES dataset to capture the proportion of undiagnosed osteoporosis.

The findings showed a statistically significant increase in osteoporosis prevalence among women, non-Hispanic Whites, and all age groups (except for individuals 80 years of age and older) during the study period. A subsequent analysis examining individuals by both gender and ethnicity/race demonstrated a statistically significant increase among Other Hispanic men and non-Hispanic White women. Additional descriptive analyses found that 69.12% of individuals with osteoporosis went undiagnosed. Specifically, 86.88% of men and 84.77% of individuals 50-59 years of age with osteoporosis went undiagnosed, representing the two highest groups.

The substantial and increasing prevalence among certain groups and sub-groups, along with the lack of diagnostic capture of osteoporosis, highlights existing gaps in public health efforts and care delivery infrastructure. This paper highlights high-risk groups and sub-groups that may benefit most from accelerated initiatives to reduce the burden of illness associated with osteoporosis.

Osteoporosis and osteoporosis-related fractures exhibits a higher prevalence among females, particularly those aged 50 and above, implying a potential association between sex hormones and bone mineral density (BMD). However, the precise role of sex hormones in BMD remains elusive. Meanwhile, estradiol-to-testosterone ratio (E2/T ratio) or testosterone-to-estradiol ratio (T/E2 ratio) is a new biomarker of sex hormone milieu. We investigated whether sex hormones, E2/T ratio and T/E2 ratio were associated with BMD or fractures risk in US females. This study is a cross-sectional study, and the data sourced from the National Health and Nutrition Examination Survey (NHANES) 2013-2014 cycle. This study primarily focuses on females aged 50 and above, employing weighted multivariate linear regression, restricted cubic spline (RCS) model to examine the association between sex hormones and BMD or FRAX scores. We included 1,012 females. Testosterone was not associated with BMD or fracture risk. Increasing estradiol and E2/T ratio were positively correlated with BMD and negatively correlated with osteoporosis-related fractures risk, while increasing T/E2 ratio was negatively correlated with BMD and increased risk of osteoporosis-related fractures. The T/E2 ratio showed better specificity for predicting low BMD compared to estradiol alone. These findings suggest that hormonal ratios can serve as predictive biomarkers for osteoporosis and fractures. This study highlights the potential of E2/T and T/E2 ratios as biomarkers for assessing osteoporosis risk in postmenopausal women. Incorporating these ratios into clinical practice could improve early diagnosis and risk stratification for osteoporosis-related fractures. Future longitudinal studies are needed to confirm these findings and further explore the causal relationships between sex hormones and bone health.

Opportunistic computed tomography (CT) scans, which can assess relevant bones of interest, offer a potential solution for identifying osteoporotic individuals. However, it has been well documented that image protocol parameters, such as reconstruction kernel, impact the quantitative analysis of volumetric bone mineral density (vBMD) from CT scans. The purpose of this study was to investigate the impact that CT reconstruction kernels have on quantitative results for vBMD from clinical CT scans using phantom and internal calibration. 45 clinical CT scans were reconstructed using the standard kernel and seven alternative kernels: soft, chest, detail, edge, bone, bone plus and lung [GE HealthCare]. Two methods of image calibration, internal and phantom, were used to calibrate the scans. The total hip and fourth lumbar vertebra (L4) were extracted from the scans via deep learning segmentation. Integral vBMD was calculated based on both calibration techniques from CT scans reconstructed with the eight kernels. Linear regression and Bland-Altman analyses were used to determine the coefficient of determination [Formula: see text] and to quantify the agreement between the different kernels. Differences between the reconstruction kernels were determined using paired t tests, and mean differences from the standard were computed. Using internal calibration, the smoothest kernel (soft) yielded a mean difference of -0.95 mg/cc (-0.33%) compared to the reference standard at the L4 vertebra and 2.07 mg/cc (0.51%) at the left femur. The sharpest kernel (lung) yielded a mean difference of 25.36 mg/cc (9.63%) at the L4 vertebra and -25.10 mg/cc (-5.98%) at the left femur. Alternatively, using phantom calibration soft yielded higher mean differences than internal calibration at both locations, with mean differences of 1.21 mg/cc (0.42%) at the L4 vertebra and 2.53 mg/cc (0.65%) at the left femur. The most error-prone results stemmed from the use of the lung kernel, as this kernel displayed a mean difference of -21.90 mg/cc (-7.38%) and -17.24 mg/cc (-4.34%) at the L4 vertebra and femur, respectively. These results indicate when performing opportunistic CT analysis, errors due to interchanging smoothing kernels soft, chest and detail are negligible, but that interchanging between sharpening kernels (lung, bone, bone plus, edge) results in large errors that can significantly impact vBMD measures for osteoporosis screening and diagnosis.

This study examined the association of serum total alkaline phosphatase (T-ALP) with bone mineral density (BMD) and osteoporosis prevalence in the general population, and investigated its association with mortality in individuals with osteoporosis, using data from the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018. Elevated serum T-ALP levels were significantly associated with both reduced BMD and an increased risk of osteoporosis in all participants. Moreover, elevated T-ALP levels were linked to higher all-cause mortality among individuals with osteoporosis during this period.

The evidence regarding the association between serum T-ALP, BMD and osteoporosis prevalence in general population is incomplete, and limited evidence is available concerning its association with mortality among individuals with osteoporosis. The study investigated the association of serum T-ALP with BMD and osteoporosis prevalence in the general population, and examined its association with mortality in individuals with osteoporosis.

All participants were adults from the NHANES (2005-2018), and mortality data were obtained from the National Death Index up to December 31, 2019. Firstly, the association of serum T-ALP with BMD and osteoporosis risk was assessed using linear regression model, subgroup analysis, analysis of covariance and weighted logistic regression model, respectively. Secondly, survival analysis including Kaplan-Meier curves, Cox proportional hazards models, and restricted cubic spline regression models were utilized to analyze the relationship between serum T-ALP levels and mortality risk.

The study included 13,724 participants aged 18 to 85 years, and 944 were diagnosed with osteoporosis, among whom 221 died during a median of 133 months follow-up. Totally, elevated serum T-ALP was significantly associated with low BMD in femoral neck and lumbar spine, and the results exhibited consistency across diverse age, genders, races, and BMI subgroups. Moreover, for each 1 SD increase in T-ALP, there was a 0.5% increase in the prevalence of osteoporosis [OR (95%CI): 1.005 (1.005, 1.005), p < 0.001]. Among individuals with osteoporosis, for every 1 SD increase in T-ALP, the all-cause mortality increased by 0.4% [HR (95%CI):1.004 (1.002, 1.006), p < 0.001]. Meanwhile, comparing participants with highest serum T-ALP levels (> 79 IU/L) to those with lowest levels (< 53 IU/L) further raised the prevalence of osteoporosis [OR (95%CI):1.292 (1.021, 1.636), p = 0.033] and all-cause mortality [HR (95% CI):1.232 (1.041, 1.459), p = 0.015].

Based on a representative sample of US adults, elevated serum T-ALP levels were found to be significantly associated with both reduced BMD and an increased risk of osteoporosis across all participants, as well as with a higher all-cause mortality in individuals with osteoporosis.

Bone health problem is one of the important concomitant diseases of breast cancer (BC). This study aimed to investigate the bone health status of newly diagnosed female BC patients in China. A total of 636 newly diagnosed female BC patients and 268 women undergoing routine physical examinations (control group) were included. Bone mineral density and bone metabolism parameters were assessed. The association between BC and abnormal bone mass (ABM) was analyzed by logistic regression. We found that approximately 15.3% of BC patients presented with hypocalcemia after albumin adjustment. 25-OHVitD deficiency or insufficiency was observed in 92.3% of BC patients. ABM was identified in 63.2% of BC patients, comprising 36.4% with osteopenia and 26.8% with osteoporosis. ABM prevalence was significantly higher in BC patients under 40 years old (40.8%) compared to 8% in the age-matched control group. The severity of bone loss correlated with elevated bone turnover markers. Logistic regression analysis showed that a 5.5-fold and 3.4-fold increased risk of ABM and osteoporosis, respectively, in newly diagnosed BC patients versus the control group. All BC subtypes were associated with a markedly higher risk of ABM. Young BC patients (< 45 years) exhibited a nearly 9-fold higher risk of ABM compared to their age-matched counterparts. Vitamin D deficiency/insufficiency, osteopenia, and osteoporosis were highly prevalent among newly diagnosed female BC patients. Regardless of age and BC subtype, BC patients face a higher risk of ABM compared to those physical examination women, especially among the young.

Radiologists and other diagnostic imaging specialists play a pivotal role in the management of osteoporosis, a highly prevalent condition of reduced bone strength and increased fracture risk. Bone mineral density (BMD) measurement with dual-energy X-ray absorptiometry (DXA) is a critical component of identifying individuals at high risk for fracture. Strategies to prevent fractures are consolidated in the Osteoporosis Canada clinical practice guideline which was updated in 2023. In this guideline, treatment recommendations are based upon a consideration of fracture history, 10-year major osteoporotic fracture (MOF) risk, and BMD T-score in conjunction with age. The current review aims to familiarize radiologists and other diagnostic imaging specialists with the reporting requirements needed to support implementation of this guideline using the FRAX™ risk calculation tool. Fortunately, for specialists already familiar with the Canadian Association of Radiologists and Osteoporosis Canada (CAROC) tool, the transition to FRAX-based reporting is readily accommodated in a radiology workflow.

Osteoporosis is commonly evaluated using dual-energy X-ray absorptiometry (DXA) for bone mineral density (BMD). Non-contrast computed tomography (CT) scans provide an alternative for opportunistic osteoporosis assessment. This study aimed to evaluate screening thresholds for osteoporosis based on CT attenuation values in Hounsfield units (HU) of L1-L4 vertebrae from CT scans of the abdominal region, compared to DXA assessments of the lumbar spine and hips.

Conducted retrospectively over approximately two years, the analysis included 109 patients who had both CT and DXA scans within 12 months, excluding those with metal artifacts affecting the vertebrae. CT attenuation values in the trabecular region of the vertebrae were measured and compared among three groups based on the lowest T-score from DXA.

In a predominantly female cohort (mean age 66.3 years), the lowest CT attenuation values for L1-L4 vertebrae showed a moderate correlation with the lowest T-score, with a Pearson correlation coefficient of 0.542 (95% CI: 0.388, 0.667). A HU threshold of ≤142 at the L1 vertebra showed 91.9% sensitivity and 48.4% specificity, while a threshold of ≤160 HU showed 97.3% sensitivity and 31.3% specificity for screening osteoporosis.

This study supports the use of non-contrast CT with these HU thresholds as an opportunistic tool for osteoporosis assessment.