Sacroiliac damage on MRI in axial spondyloarthritis and chronic back pain, women with postpartum back pain, runners and healthy subjects
Bibliographic record
Abstract
OBJECTIVE: To investigate the extent and performance of structural lesions in sacroiliac joints on MRI (MRI-SI) in patients with axial spondyloarthritis (axSpA), chronic back pain, postpartum back pain, runners and healthy subjects. METHODS: MRI-SIs in 172 subjects, including 47 patients with diagnosed axSpA fulfilling the Assessment of SpondyloArthritis international Society (ASAS) criteria, 47 patients with chronic back pain, 7 women with postpartum back pain, 24 runners and 47 healthy individuals, were scored by two well-trained readers for erosions, fatty lesions, sclerosis and ankylosis, using an adjusted Spondyloarthritis Research Consortium of Canada scoring method. In addition, cut-off values proposed by the Imaging workgroups of Leiden and the ASAS were tested. RESULTS: Of the axSpA patients, 37 (79%) had structural lesions. Most frequently reported structural lesions were erosions in 35 (75%) patients and fatty lesions in 19 (40%) patients. Erosions and fatty lesions were uncommon in chronic back pain, runners and healthy individuals. There was a statistically significant difference in the prevalence of erosions, fatty lesions and ankylosis between axSpA and chronic back pain. Ankylosis was rare in both groups. Comparing axSpA to non-axSpA, Leiden cut-off definitions were more specific than ASAS cut-offs. CONCLUSIONS: Structural changes resembling axSpA may occur in individuals who do not have axSpA, but at a lower rate than inflammatory changes. Erosions and fatty lesions are most specific. Using cut-off definitions for these structural lesions results in good discrimination between axSpA and non-axSpA. In axSpA, structural lesions primarily occur in concordance with ongoing inflammation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".