MRI Changes of the Symphysis Pubis in Patients With Axial Spondyloarthritis and Association With Clinical Factors
Bibliographic record
Abstract
OBJECTIVE: This study aimed to evaluate the magnetic resonance imaging (MRI) changes of the symphysis pubis in patients with axial spondyloarthritis (ax-SpA) and to assess its association with clinical factors. METHODS: A retrospective analysis of 172 patients with ax-SpA was performed to assess the presence of active inflammatory and structural changes of the symphysis pubis on MRI scans, and their association with clinical factors and the SPARCC (Spondyloarthritis Research Consortium of Canada) scoring of the sacroiliac joint were evaluated. RESULTS: The proportions of active inflammation and structural changes of the symphysis pubis were 69/172 (40.1%) and 54/172 (31.4%), respectively. When comparing the active inflammation and no-active inflammation symphysis pubis groups, the former had higher level C-reactive protein, higher erythrocyte sedimentation rate, and younger median age of patients. Moreover, no significant correlation was noted between the active inflammation of the symphysis pubis and SPARCC score of the sacroiliac joint. When comparing the normal and abnormal symphysis pubis groups, the latter had longer symptom duration. CONCLUSIONS: The MRI changes of the symphysis pubis were seen in 55.2% of the patients with ax-SpA and were associated with C-reactive protein, erythrocyte sedimentation rate, and symptom duration.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".