The impact of ultrasound imaging on the assessment of the carpometacarpal joint in hand osteoarthritis
Bibliographic record
Abstract
Emerging evidence suggests that ultrasound imaging is being increasingly used to assess peripheral joints in clinical practice. However, much of the research focus has been on patients with inflammatory arthritis. Recent studies have explored the use of ultrasound in the evaluation of symptomatic hand osteoarthritis. Assessment of this condition can be challenging particularly with the possibility of coexisting soft tissues pathologies that may arise. The clinical management of hand osteoarthritis with corticosteroid injections as a targeted intervention for symptom modification is routine practice. However, evidence of clinical efficacy is limited. This study evaluated ultrasound imaging as a diagnostic tool in addition to clinical examination in patients with symptomatic hand osteoarthritis. A consecutive sample of forty patients attending Glasgow Royal Infirmary Rheumatology Department were recruited to this study. The primary aim of this study was to establish if the symptoms of carpometacarpal joint osteoarthritis could be improved by identifying and treating coexisting pathologies such as median nerve entrapment and/or De Quervain's tenosynovitis. The study was divided into three stages: Stage 1 investigated the carpometacarpal joint and associated pathologies; Stage 2 identified whether knowledge of the ultrasound scan influenced clinical decision- making and planning of corticosteroid injections following the random allocation of patients to two groups; and Stage 3 measured the level of disease burden to the individual using the Australian/Canadian Osteoarthritis Hand Index over 12 weeks following intervention. The study findings demonstrated that ultrasound scanning when used in addition to routine clinical examination is beneficial to image the associated pathologies of median nerve entrapment and De Quervain's tenosynovitis in osteoarthritis of the carpometacarpal joint. Ultrasound was found to influence the clinical decision making in targeting corticosteroid injections for the management of symptomatic hand osteoarthritis. However, prior knowledge of ultrasound findings did not result in improved clinical outcomes as measured by the AUSCAN. The detection of additional pathologies in carpometacarpal joint disease may allow for earlier targeted treatment with corticosteroid injections aimed at improving hand symptoms and function.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".