Morphological characteristics of sacroiliac joint MRI lesions in axial spondyloarthritis and control subjects
Bibliographic record
Abstract
OBJECTIVES: To investigate SI joint MRI inflammation, structural and degenerative lesion characteristics in patients with axial spondyloarthritis (axSpA) and various control groups. METHODS: Patients with axSpA (n = 41) and lumbar disc herniation (n = 25), women with (n = 46) and without (n = 14) post-partum (childbirth within 4-16 months) buttock/pelvic pain, cleaning assistants (n = 26), long-distance runners (n = 23) and healthy men (n = 29) had MRI of the SI joints prospectively performed. MRI lesions were assessed on nine slices covering the cartilaginous compartment by two experienced readers according to the definitions of the Spondyloarthritis Research Consortium of Canada SI joint inflammation and structural scores, and were evaluated according to depth and extent. Other morphological characteristics were also analysed. RESULTS: Total depth scores for bone marrow oedema (BME) and fat lesion (FAT) and total extent score for erosion were statistically significantly highest in axSpA, while scores for sclerosis were numerically highest in women with post-partum pain. Maximum BME depth >10 mm was frequently and exclusively found in axSpA and post-partum women (39% vs 14-17%) while FAT depth >5 mm was predominantly found in axSpA (76% vs 0-10%). Erosions were primarily seen in axSpA, especially when extensive (≥4 or confluent; 17% vs 0%). Capsulitis was absent in non-axSpA groups. BME and FAT in the ligamentous compartment were primarily found in axSpA (17/22% vs 0/2% in non-axSpA groups). In non-axSpA, osteophytes (axSpA vs non-axSpA: 0% vs 3-17%) and vacuum phenomenon (7% vs 30-66%) were more frequent, and the joint space was wider [mean (s.d.) 1.5 (0.9) vs 2.2 (0.5) mm]. CONCLUSIONS: FAT depth >5 mm, but not BME depth >10 mm, could almost differentiate axSpA patients from all other groups. When excluding post-partum women, BME >5 mm and erosion were highly specific for axSpA.
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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 | 0.001 |
| 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".