Reliability, Feasibility and Value of Ecography in Clinical-functional Results in Patients Affected by Carpal Tunnel Syndrome: is There a Correlation?
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to evaluate how the ultrasound examination in the carpal tunnel diagnosis could contribute to the clinical and neurophysiological evaluation. This was done by evaluating the cross-sectional area (CSA) and its correlation with symptoms and functionality data assessed by the BTQC questionnaire. METHODS: 60 patients were subjected to open CTR for idiopathic carpal tunnel syndrome. The median nerve CSA was assessed both pre-operatively and in follow-up at 4 and 12 weeks. The Boston Carpal Tunnel Questionanaire (BCTQ) was proposed at the same time. RESULTS: BCTQ score significantly improved after 4 weeks, but there was a less significant increase at 12 weeks for both the BCTQ-S and the BCTQ-F. The 4-week CSA, however, did not appear to have markedly improvement, where as the 12-week CSA turned out to be statistically significant. The correlation between BCTQ and CSA shows that post-surgery, the reduction of CSA of the median nerve is correlated with the symptomatic and functional reduction in patients. CONCLUSIONS: The study shows that the symptomatology and the functionality of the hand after surgery for the carpal tunnel resolves quickly. Furthermore, the reduction of the CSA proves to show that the use of ultrasound can help in the evaluation of patients with this state.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".