Development and Validation of a Magnetic Resonance Imaging Reference Criterion for Defining a Positive Sacroiliac Joint Magnetic Resonance Imaging Finding in Spondyloarthritis
Bibliographic record
Abstract
OBJECTIVE: To validate a magnetic resonance imaging (MRI) reference criterion for a positive sacroiliac (SI) joint MRI finding based on the level of confidence in the classification of spondyloarthritis (SpA) by expert MRI readers. METHODS: Four readers assessed SI joint MRIs in 2 inception cohorts (cohorts A and B) of 157 consecutive patients with back pain ages ≤50 years and 20 age-matched healthy controls. Patients were classified according to clinical examination and pelvic radiography as having nonradiographic axial SpA (n = 51), ankylosing spondylitis (n = 34), or nonspecific back pain (n = 72). Readers indicated their level of confidence in their classification of SpA on a 0-10 scale, where 0 = definitely not SpA and 10 = definite SpA. The MRI reference criterion was prespecified by consensus as the majority of readers indicating a confidence score of 8-10; the absence of SpA required all readers to indicate non-SpA (a confidence score of 0-4). We calculated interreader reliability and agreement between MRI-based and clinical classification using kappa statistics. We estimated cutoff values for MRI lesions attaining a specificity of ≥0.90 for SpA. RESULTS: In cohorts A and B, 76.4% and 71.6% of subjects met the MRI criterion, respectively. The kappa values for interreader agreement were 0.76 for cohort A and 0.80 for cohort B and between MRI-based and clinical assessment were 0.93 for cohort A and 0.57 for cohort B. Using this MRI reference criterion, the cutoff for the number of affected SI joint quadrants needed to reach a predefined specificity of ≥0.90 was ≥2 for bone marrow edema (BME) in both cohorts and ≥1 for erosion in both cohorts, and the BME and/or erosion lesions increased sensitivity without reducing specificity. CONCLUSION: This data-driven study using 2 inception cohorts and comparing clinical and MRI-based classification supports the case for including both erosion and BME to define a positive SI joint MRI finding for the classification of axial SpA.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 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".