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The efficacy of opportunistic osteoporosis screening with computed tomography (CT) scans obtained for other indications has not yet been implemented by the current guidelines. We aimed to compile available evidence on the efficacy of osteoporosis screening with CT scans obtained for other indications compared with dual X-ray absorptiometry (DXA). Studies comparing the diagnostic performance of the CT scan with the DXA published before 2023 were retrieved. We conducted a bias assessment using the Newcastle-Ottawa Scale for cross-sectional studies. Correlation coefficients (CC), area under the curve (AUC), sensitivity, and specificity of the CT scans compared with the DXA were meta-analyzed with random effects modeling. 41 studies fulfilled the inclusion/exclusion criteria. The included studies reported weak to very strong CC (0.35 to 0.95) and low to high accuracy for opportunistic osteoporosis screening with CT scans. The meta-analysis showed a moderate pooled CC of 0.59 (95 % CI: 0.53-0.64, P-value<0.001), and a relatively high AUC of 0.81 (95 % CI: 0.78-0.84, P-value<0.001). Subgroup analysis based on age and menopausal status did not show significant between-group differences. Significantly higher accuracy measures were estimated for CT scans of the proximal femur compared to other anatomic regions (CC: 0.70, 95 % CI: 0.57-0.82; AUC: 0.79, 95 % CI: 0.72-0.87), North American cases (CC: 0.66, 95 % CI: 0.52-0.80; AUC: 0.82, 95 % CI: 0.82-0.83), and populations with a higher percentage of women (CC: 0.60, 95 % CI: 0.52-0.69; AUC: 0.86, 95 % CI: 0.83-0.89). We observed a moderate performance of opportunistic osteoporosis screening with CT scans obtained for other indications.
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http://dx.doi.org/10.1016/j.clinimag.2024.110372 | DOI Listing |
Front Endocrinol (Lausanne)
September 2025
Department of Orthopedics I, Second Affiliated Hospital, Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China.
Background: Emerging evidence indicates that lactase-mediated histone lactylation can activate osteogenic gene expression and promote bone formation. However, the role of lactylation-related genes (LRGs) in osteoporosis (OP) remains unclear. This study aims to clarify the key roles of LRGs and the molecular mechanisms of related biomarkers in OP.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
September 2025
Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Objectives: To evaluate whether q-Dixon sequence-based fat fraction (FF) values of the lumbar spine can predict osteoporotic vertebral compression fracture (OVCF) risk in older adult(s) osteoporosis patients.
Materials & Methods: Thirty OVCF patients and 15 osteoporosis patients were enrolled. Areas of interest (ROIs) were manually drawn using the post-processing workstation, and FF values of the patient's L1-L4 vertebrae (except the fractured vertebrae) were measured.
Clin Rheumatol
September 2025
Immunology Market Access, Johnson & Johnson, Horsham, PA, USA.
Introduction/objective: Oral glucocorticoids (OGC) are conventionally used as first-line treatment for dermatomyositis (DM) and polymyositis (PM). This study evaluated clinical and economic outcomes associated with long-term (LT) OGC use in DM/PM.
Methods: Adults with ≥ 2 medical claims of DM/PM 30‒365 days apart from January 1, 2016, to December 31, 2022, and ≥ 1 diagnosis code of a physician specialty of interest were selected from the MarketScan Commercial and Medicare Supplemental databases.
Sci Total Environ
September 2025
Department of Orthopedics and Traumatology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan Province, China. Electronic address:
The objective of this research was to use a network toxicology approach to examine the possible toxicity of the cigarette toxicants nicotine and coal tar that cause osteoporosis (OP) as well as its molecular processes. We determined the primary chemical structures and 128 targets of action of tar and nicotine using the Swiss Target Prediction, NP-MRD, and PubChem databases. We discovered that genes including DNAJB1, CCDC8, LINC00888, ATP6V1G1, MPV17L2, PPCS, and TACC1 had a disease prognostic guiding value by LASSO analysis and differential analysis of GEO microarray data.
View Article and Find Full Text PDFJ Obes
September 2025
School of Natural Sciences, University of Lincoln, Lincoln, UK.
To investigate the genetic determinants of fat distribution across anatomical sites and their implications for health outcomes. We analyzed neck-to-knee MRI data from the UK Biobank ( = 37,589) to measure fat at various locations and used Mendelian randomization to assess effects on 26 obesity-related diseases and 94 biomarkers from FinnGen and other consortia. We identified genetic loci associated with 10 fat depots: abdominal subcutaneous adipose tissue ( = 2 loci), thigh subcutaneous adipose tissue (25), thigh intermuscular adipose tissue (15), visceral adipose tissue (7), liver proton density fat fraction (PDFF) (8), pancreas PDFF (11), paraspinal adipose tissue (9), pelvic bone marrow fat (28), thigh bone marrow fat (27), and vertebrae bone marrow fat (5).
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