Musculoskeletal ultrasound (MSK-US) in pediatric rheumatology: European preliminary results of the survey of the Pediatric Ultrasound Group of the Omeract Ultrasound Task Force
Bibliographic record
Abstract
Despite the growing interest and use of MSK-US in children, its current use in paediatric rheumatology is not known. To identify the current use of MSK-US and the areas most suitable for its development and standardisation in paediatric rheumatology. A questionnaire of 10 single or composite questions, including professional data, current use in daily practice, current clinical relevance of the main features of MSK-US, and areas for prospective development, has been sent to the members of PRINTO/PRES. 92/389 (24%) answers have been collected from 37 countries. The responders are mainly pediatric rheumatologists (80%), have a long-lasting clinical experience in paediatric rheumatology (74% >10 years), and are more clinicians (>70%) than researchers (24%). MSK-US is used in clinical practice by>90%: personally by 40%, 49% by the radiologist, 16% by the adult rheumatologist. The most relevant features of MSK-US are the high patient’s acceptability (76%), the immediate improving of diagnosis of joint and soft tissue disease (73%), the assessment of synovitis and tendons/tendons’sheaths (73% and 70%), and the support to imaging guided joint injections (67%). The anatomical sites best suited for MSK-US are hips (87%), ankles (78%), wrists (65%), knees (64%), and mid-foot (63%). MSK-US is considered important for diagnosis, therapy monitoring, and research (70%). We identified the current use of MSK-US in paediatric rheumatology among the European network of PRINTO/PRES. The results outline the major reasons and areas of interest, useful for future steps towards a wider international standardized development of MSK-US in paediatric rheumatology.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".