Reactivation in post-traumatic chronic osteomyelitis: ultrasonographic findings.
Bibliographic record
Abstract
OBJECTIVE: To describe the ultrasound (US) features of reactivation in post-traumatic chronic osteomyelitis in adults. METHODS: Twelve patients with clinical suspicion of reactivation of chronic osteomyelitis, secondary to trauma, surgery, and who were investigated with US were selected for the study. The following US features were assessed: periosseous fluid collection, bone changes (periosteal reactions, cortical irregularity, callus, sequestrum and cloaca) and soft-tissue changes (cellulitis and sinus tracts). US findings were correlated with plain radiography (n = 11), computed tomography (n = 3) and magnetic resonance imaging (n = 2). RESULTS: US detected fluid collections in all patients (12 periosseous and 3 in soft tissues), bone changes in 10 and sinus tracts and cellulitis in 5 patients each. Bone changes detected were cortical irregularity (n = 10), discontinuity of cortex (n = 7), sequestrum (n = 2), callus (n = 2), periosteal reaction (n = 1) and cloaca (n = 1). Cellulitis was seen in 5 patients and sinus tracts in 5. Reactivation was confirmed at surgery in all patients. CONCLUSION: US is a reliable noninvasive imaging modality for the diagnosis of reactivation of post-traumatic chronic osteomyelitis in adults.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".