Aug 2026· Egyptian Rheumatology and Rehabilitation· Vol 53· 0 citations· 52 references
TL;DR
An up-to-date review of the evidence base, which informs the implementation of Trabecular Bone Score (TBS) in clinical practice, and explores the paradigm shift toward a dual Quantity+Quality model in bone health assessment, centred on the TBS.
Abstract
Dual-energy X-ray absorptiometry (DXA)-derived bone mineral density (BMD) has long been the gold standard for osteoporosis diagnosis, yet its inability to account for bone quality leads to a significant “sensitivity gap” in fracture risk prediction. This position paper presents an up-to-date review of the evidence base, which informs the implementation of Trabecular Bone Score (TBS) in clinical practice. 2. This review explores the paradigm shift toward a dual Quantity + Quality model in bone health assessment, centred on the TBS. Databases including PubMed/MEDLINE, Embase, Scopus, and the Cochrane Library were queried using a combination of MeSH terms and keywords. The evolution of TBS from a basic texture index to an AI-driven spatial mapping tool (TBS-Reveal) was examined. The integration of TBS into the FRAX algorithm significantly improves the identification of high-risk individuals within the “osteopenic grey zone”. Furthermore, TBS provides critical diagnostic clarity in secondary osteoporosis, such as Type 2 Diabetes and Primary Hyperparathyroidism, where BMD often remains paradoxically high despite severe microarchitectural decay. Technical advancements, including direct soft tissue thickness correction and the renormalized L1-only model, have enhanced accuracy in complex patients with high BMI or degenerative spinal disease. Trabecular Bone Score is no longer an optional research tool but a clinical necessity. By analyzing the variogram of the DXA image, TBS allows clinicians to see “the architecture of resilience” within the bone. Its seamless integration into the clinical workflow is essential for the delivery of proactive, personalized, and precision osteoporosis management.
The importance of adhering to standardized protocols and continuously refining measurement approaches to enhance reliability of 2MCI as screening tool for either osteopenia or osteoporosis is highlighted.
Elson Kow, Wiria Aryanta· The Egyptian Journal of Radi...· 0 citations
The study indicates that lower BHI SDS values are associated with increased fracture risk in children with classical OI and indicates that BHI may represent a clinically useful complementary tool for fracture risk stratification in young children with OI, particularly where DXA is unavailable or technically limited, including infancy.
Ruggero Lanzafame, Alistair D. Calder, B. Crowe et al.· Journal of Clinical Endocrin...· 0 citations
Purpose
Children with chronic illness are vulnerable to compromised bone health. Dual-energy X-ray absorptiometry (DXA) is commonly used for assessment but has limitations related to body size adjustments and positioning, highlighting the need for accessible alternatives. This study evaluated the correlation between the Bone Health Index (BHI), derived from automated hand radiograph analysis, and areal bone mineral density (BMD) measured by DXA in Chinese children with chronic illness.
Methods
In this retrospective study, Chinese children undergoing simultaneous DXA and hand radiography were included. Correlations between BHI metrics and DXA-derived BMD Z-scores were assessed.
Results
A total of 327 patients were analyzed. Absolute BHI values showed negligible correlation with DXA-derived BMD at the lumbar spine (LS) (r = 0.10, p = 0.05) and total body less head (TBLH) (r = 0.00, p = 0.35). BHI standard deviation scores (SDS) exhibited moderate positive correlations with DXA BMD Z-scores (LS: r = 0.42, p <0.001; TBLH: r = 0.43, p <0.001). In steroid-treated patients, these correlations were weaker (LS: r = 0.30, p =0.007; TBLH: r = 0.30, p 0.001). Conversely, steroid-naïve patients exhibited stronger correlations (LS: r = 0.48, p<0.001; TBLH: r = 0.53, p<0.001).
Conclusion
In steroid-treated patients, BHI SDS correlated weakly with DXA-derived BMD Z-scores, whereas steroid-naïve patients exhibited moderate correlations. This highlights that BHI and DXA BMD assess distinct bone properties that are differentially influenced by systemic treatment like glucocorticoids. Consequently, BHI should be regarded as a complementary tool rather than serving as a direct surrogate for DXA.
J. Tung, Pakanut Pitupan, S. W. Poon et al.· Annals of Pediatric Endocrin...· 0 citations
The trabecular bone score (TBS) provides complementary, indirect information on trabecular microarchitecture that may be independently impaired in SSc, and SSc patients exhibit significantly impaired bone microarchitecture compared with matched controls.
Nipaporn Intarasattakul, C. Pongchaiyakul, C. Foocharoen et al.· Journal of clinical densitom...· 0 citations
Osteoporosis is a progressive skeletal disorder characterized by reduced bone mineral density (BMD) and increased risk of fragility fractures. Clinical assessment relies primarily on dual-energy X-ray absorptiometry (DXA) and the Fracture Risk Assessment Tool (FRAX), but limited access and low screening rates motivate investigation of complementary approaches. This human cadaveric study evaluated cortical indices of the second metacarpal, radius, and femur in relation to DXA-based osteoporosis status and biomechanically derived fracture susceptibility at the wrist and hip. Cortical measurements were obtained from 39 donor-matched forearms and femurs categorized as normal (n = 8), osteopenic (n = 11), and osteoporotic (n = 20) based on femoral neck DXA T-score. Simulated fall testing of the distal radius and proximal femur was performed to determine work to fracture, which was used to derive low and high biomechanical fracture susceptibility classifications. Among the cortical indices, metacarpal cortical index (MCI) demonstrated the strongest associations with DXA T-scores and biomechanical outcomes. MCI distinguished normal from osteoporotic classification at the femoral neck (area under the curve (AUC) = 0.938) and 1/3 radius (AUC = 0.986). For biomechanically derived fracture susceptibility, femoral neck T-score demonstrated strong discrimination at both the femur (AUC = 0.917) and wrist (AUC = 0.851), while MCI yielded AUCs of 0.847 and 0.855, respectively. FRAX hip fracture (HF) probability yielded AUCs of 0.911 at the femur and 0.830 at the wrist. These findings demonstrate associations between MCI, DXA-based osteoporosis status, and biomechanical fracture susceptibility in this cadaveric cohort. MCI may therefore warrant further investigation as a complementary screening approach, particularly where access to DXA is limited. Validation in larger clinical cohorts with prospective fracture outcomes is needed to determine its clinical utility.
Anthony J. Yosick, Sophia L. Turbide, Andrew J. Berger et al.· JBMR Plus· 0 citations
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