Region-specific variation in trapeziometacarpal joint bone microarchitecture in females with osteoarthritis assessed using HR-pQCT
Bibliographic record
Abstract
The trapeziometacarpal (TMC) joint is commonly affected by osteoarthritis (OA), and its unique morphology creates localized loading patterns that cause regional bone adaption. Radiographic OA is more prevalent than symptomatic OA, highlighting the disconnect between structural features and clinical disease. Ex vivo studies have demonstrated regional changes in trapezial bone microarchitecture but are limited to cadaveric specimen with advanced disease. In vivo studies are needed to characterize regional bone microarchitecture in symptomatic TMC OA. We investigated regional bone microarchitecture in females with TMC OA using high-resolution peripheral quantitative computed tomography (HR-pQCT), and whether these changes differed from those associated with ageing. HR-pQCT scans of the TMC joint were acquired from 13 females with TMC OA, 12 controls matched groupwise by age and sex, and 15 sex-matched young controls. Total bone mineral density, bone volume fraction (Tt.BV/TV), thickness, and separation were quantified by quadrant in the first metacarpal and trapezium. A mixed ANOVA assessed group, quadrant, and group-by-quadrant effects. Significant interaction effects were observed for all parameters in the trapezium and separation in the first metacarpal (p < 0.001). In OA, trapezial separation was higher, and Tt.BV/TV was lower in the ulnar-volar quadrant, while separation was lower in the radial-volar quadrant compared to young controls (p < 0.05). In the first metacarpal, radial-volar separation was lower in OA than young controls (p < 0.05). These results suggest that OA may disrupt the normal variation in first metacarpal and trapezial bone microarchitecture, highlighting the utility of HR-pQCT in early detection of structural bone changes in hand OA.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".