ArticleBMC musculoskeletal disorders2025
Role of vertebral fat fraction and R2* based on fat analysis and calculation technique in the quantitative assessment of osteoporosis.
Article in BMC musculoskeletal disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Predicting intraoperative blood loss using cervical vertebral bone quality scores in cervical corpectomy and fusion procedure.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Evaluation of the severity of lumbar osteoporosis in patients with type 2 diabetes mellitus using q-Dixon magnetic resonance imaging.American journal of translational research · 2026Article
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6 authors.
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Abstract
purposeTo investigate the diagnostic efficacy of vertebral fat fraction (FF) and R2* derived from the Fat Analysis and Calculation Technique (FACT) for Osteoporosis (OP) and explore their associations with clinical parameters.
methodsA total of 123 patients with low back pain (59.1 ± 15.1 years, 41males) underwent lumbar FACT magnetic resonance imaging (MRI) and dual-energy X-ray absorptiometry (DXA) within 48 h. FF, R2*, BMD, T-scores, and Z-scores were measured at L1-L4 vertebrae. Based on WHO criteria (T-score), subjects were categorized into normal (T ≥ - 1), osteopenia (- 2.5 < T < - 1), and OP (T ≤ - 2.5) groups. Statistical analyses included ANOVA, Pearson/Spearman correlations, and ROC curve analysis.
resultsThe OP group exhibited significantly higher FF values compared to the normal group (overall: 59.8% vs. 47.7%, P < 0.001), with a more pronounced increase in females (between-group FF difference: F = 23.5 vs. males F = 4.6). R2* decreased progressively with bone loss (overall: 134.2 Hz vs. 162.0 Hz in normal group, P = 0.001). FF showed a strong positive correlation with age (overall: r = 0.66, P < 0.001) and negative correlations with BMD and T-scores (overall: r = - 0.42 and - 0.45, P < 0.001). R2* was negatively correlated with age (overall: r = - 0.48, P < 0.001), particularly in males (r = - 0.61 vs. females r = - 0.36). The multi-parameter model demonstrated superior diagnostic performance for osteopenia (AUC = 0.794, 95%CI: 0.699-0.866) and OP (AUC = 0.893, 95%CI: 0.814-0.947), outperforming single parameters.
conclusionFACT technology quantifies age and sex specific patterns of marrow FF and R2* during osteoporosis progression. The multi-parameter model significantly enhances diagnostic accuracy, providing a comprehensive imaging-metabolic biomarker for individualized OP assessment.
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