Investigating the effect of strontium in bone mineral density measurements of trabecular bone mimicking phantoms using quantitative ultrasound
Bibliographic record
Abstract
Dual-energy x-ray absorptiometry (DXA) is the current gold standard method used for the diagnosis of osteoporosis. However, it is well-established that the presence of strontium in bone could lead to significant error in measurement of bone mineral density (BMD) and diagnosis of osteoporosis using DXA. The objectives of this study are: (1) to develop novel bone-mimicking phantoms containing different concentrations of strontium, and (2) to investigate the effect of bone strontium content on the BMD measurement using quantitative ultrasound (QUS) technique. Measurements using the research and clinical QUS systems showed a strong dependency of the BUA (broadband ultrasound attenuation) of the medium with the BMD. Moreover, increasing strontium concentrations in bone phantoms of up to 3 mol% strontium showed no effect on the BUA or the SOS values measured with either system. Therefore, the QUS technique is independent of level of bone strontium of up to 3 mol/mol [Sr/(Sr+Ca)] %.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".