Magnetic Resonance Imaging of the Hand in Psoriatic Arthritis
Bibliographic record
Abstract
Although magnetic resonance imaging (MRI) studies of psoriatic arthritis (PsA) are fewer than those of rheumatoid arthritis (RA), interest in this field is growing. The type and site of the lesions, rather than the mere severity of synovitis, can help differentiate PsA from other arthritides. Extracapsular enhancement and enthesitis are features emphasized as typical of PsA, but their relevance for the diagnosis is more quantitative than qualitative. Erosions in PsA are probably less frequent and progressive than in RA. Bone edema is unlikely to predict the appearance of erosions in patients with PsA. The Rheumatoid Arthritis Magnetic Resonance Imaging Scoring (RAMRIS) system has been adapted to peripheral PsA, but standardization is still in progress. Dactylitis is a relatively specific feature of PsA. Its pathogenic mechanisms have been investigated with MRI. MRI evaluation of PsA may facilitate diagnosis, evaluation of treatment effects, and understanding of associated mechanisms.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".