Tuberculous Synovitis of the Hip Joint Diagnosed by FDG PET-CT
Bibliographic record
Abstract
A 61-year-old woman with a history of lupus had a Positron emission tomography-computed tomography (PET-CT) scan as part of a malignancy workup for new cerebellar lesions. She had presented with new onset headaches. A CT scan of the thorax, abdomen, and pelvis, done 2 months earlier, had only shown an asymptomatic left hip joint effusion that was attributed to a nonerosive synovitis, possibly caused by her lupus. The PET-CT now showed extensive left acetabular and femoral head destructive bone lesions that had progressed significantly in 2 months, with associated intense 18F-fluoro-2-deoxy-glucose (FDG) uptake (maximal SUV 8.7). The left hip joint effusion also had intense FDG uptake. The hip joint was aspirated following the PET scan, and the synovial fluid grew mycobacterium tuberculosis. The PET-CT also showed an enlarged left iliopsoas bursa, which did not have FDG uptake and was therefore probably not infected.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".