Fat metaplasia on MRI of the sacroiliac joints increases the propensity for disease progression in the spine of patients with spondyloarthritis
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Bibliographic record
Abstract
OBJECTIVE: We tested the hypothesis that fat metaplasia on MRI of the sacroiliac joints (SIJ) increases the propensity for new bone formation in the spine of patients with spondyloarthritis. METHODS: We assessed baseline T1-weighted and short τ inversion recovery SIJ MRIs from patients in the Follow Up Research Cohort in Ankylosing Spondylitis (FORCAST). Radiographic progression was assessed using the modified Stoke Ankylosing Spondylitis Spine Score (mSASSS). Structural and inflammatory lesions were scored using the Spondyloarthritis Research Consortium of Canada (SPARCC) SIJ structural and SPARCC SIJ inflammation scores, respectively. Radiographic progression was compared in cases with and without definite MRI lesions (score ≥2 or <2) and the extent of MRI lesions at baseline was compared in patients with and without radiographic progression. The predictive capacity of MRI SIJ lesions for radiographic progression in the spine was assessed in univariate and multivariate regression analyses. RESULTS: The extent of MRI structural lesions in the SIJ at baseline was significantly greater in those patients who had spinal radiographic progression on follow-up (p=0.003, 0.02, 0.003 for fat metaplasia, backfill and ankylosis, respectively). Also, radiographic progression was significantly greater in cases with definite baseline SIJ ankylosis (p=0.008). In multivariate regression that included all types of MRI lesions and was adjusted for age, sex, symptom duration, duration of follow-up, CRP, baseline mSASSS and treatment, the extent of SIJ fat metaplasia and ankylosis at baseline were independently associated with radiographic progression. CONCLUSIONS: SIJ ankylosis and fat metaplasia but not inflammatory lesions increase the propensity for radiographic progression in the spine.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it