Patients with Rheumatoid Arthritis in Clinical Remission Manifest Persistent Joint Inflammation on Histology and Imaging Studies
Bibliographic record
Abstract
OBJECTIVE: The purpose of our study was to test the hypothesis that synovitis on magnetic resonance imaging (MRI) and ultrasound (US) observed in patients with rheumatoid arthritis (RA) who meet remission criteria reflects active inflammation on histopathology. METHODS: We analyzed 15 synovial specimens obtained during surgical procedures from 14 patients with RA in clinical remission as defined by the American College of Rheumatology criteria. Histological specimens were scored for hyperplasia of synovial lining and synovial stroma, inflammation, lymphoid follicles, and vascularity. The histology scores were classified as minimal, mild, moderate, or severe disease activity. US and MRI performed within a 4-month period of surgery were scored for disease activity. The correlation between histology and imaging scores was examined. RESULTS: Four of 14 patients were receiving anti-tumor necrosis factor (TNF) therapy, 4 were receiving methotrexate (MTX) alone, 4 were taking MTX and hydroxychloroquine (HCQ), and 1 was taking HCQ and sulfasalazine. Four specimens had severe, 6 moderate, 3 mild, and 2 minimal disease activity on histology. Three of 4 specimens with minimal and mild histology were observed in subjects receiving anti-TNF therapy. Synovitis was noted on greyscale in 80% of joints and Doppler signal in 60%. MRI demonstrated synovitis and bone marrow edema in 86% of images. Positive but not significant correlations were noted between histology and synovitis scores on US. CONCLUSION: Despite clinical remission, histology and imaging studies documented a persistently active disease state that may explain the mechanism for radiographic progression.
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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 | 0.001 | 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) | 0.002 | 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".