Bone microstructural and strength changes over 1 year in children with osteogenesis imperfecta are comparable to age- and sex-matched healthy controls
Bibliographic record
Abstract
INTRODUCTION: Osteogenesis imperfecta (OI) is characterized by bone fragility with frequent fractures, especially in children. Some studies have used peripheral-QCT (pQCT) to examine bone density in children with OI and one cross-sectional study used HR-pQCT in 9 children with OI. MATERIALS AND METHODS: We compared bone density, microstructure, and strength changes over 1 yr at the metaphysis and diaphysis of the radius and tibia, as well as lumbar spine (LS) bone mass and area, in 20 children with OI under bisphosphonate treatment and 20 age- and sex-matched controls. For the double-stack metaphyseal scans, we developed an algorithm to correct stack misalignment. For the LS, we used DXA. RESULTS: At the tibial metaphysis, children with OI had lower baseline total and trabecular volumetric BMD (vBMD), trabecular and cortical microstructure, and strength. At the radial metaphysis, baseline trabecular microstructure and strength were lower in children with OI. At the tibial and radial diaphysis, children with OI had lower bone area and strength. At the tibial and radial metaphysis, 1-yr increases in most measurements were similar for both groups. Cortical vBMD and trabecular separation (radius) only increased in the OI group. Trabecular vBMD, volume fraction (tibia), number (tibia), and total vBMD (radius) only increased in the control group. At the tibia and radius diaphysis, cortical vBMD increased in the OI group. Tibial Ct.Po decreased in children with OI. At the LS, the OI group had lower bone mass, density, and area, but similar longitudinal changes. DISCUSSION: In summary, baseline trabecular bone density, trabecular and cortical microstructure, and strength were lower in metaphyseal regions of children with OI. At diaphysis, children with OI had lower bone area and strength. While longitudinal changes over 1 yr were generally comparable, certain outcomes demonstrated differences. These data are essential for powering future clinical trials.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".