Ultrasound Measurement of Cartilage Thickness in Childhood Arthritis — Target the Tissue, Tailor the Technique
Bibliographic record
Abstract
Joint cartilage is a major target of the erosive process in chronic arthritis. The occurrence of cartilage loss in children with juvenile idiopathic arthritis (JIA) represents, therefore, an early indicator of joint damage and raises the need to intensify therapy before irreversible structural changes develop. Until a few years ago, most experience in joint imaging in JIA was based on conventional radiography1. Joint space narrowing and erosions seen on plain films have traditionally been considered important markers of disease progression and have been observed early in the disease course in a higher-than-expected proportion of children with JIA2. However, radiographs are inadequately sensitive in the detection of the initial structural changes in JIA. Moreover, accurate assessment of joint damage in children is complicated by the age-related variations in the thickness of articular cartilage and the ongoing skeletal maturation. In growing children, bones are extensively cartilaginous, and ossification centers appear progressively and complete their growth over several years. In young children the epiphyses are highly vascularized and the metaphyseal vessels anastomose with epiphyseal vessels throughout the growth plate. In children with chronic arthritis, inflammation affecting the epiphyseal cartilage may extend to the ossification centers, causing excessive growth, deformities, or epiphyseal erosions. As a result, irreversible cartilage destruction may occur before bone changes are radiographically evident. Newer imaging modalities, particularly ultrasound (US) and magnetic resonance imaging (MRI), have played an increasing role in the identification of early signs of synovitis and damage in JIA3. US is particularly suited for use in children because of its noninvasiveness, rapidity of performance, relatively low cost, ability to scan multiple joints at one time, repeatability, safety, and high patient acceptability. US enables visualization of the soft tissues and principal components of the joints and can detect the cartilage of unossified epiphyses … Address correspondence to Dr. S. Magni-Manzoni. E-mail: silvia.magnimanzoni{at}opbg.net
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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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| 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".