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Record W1979378926 · doi:10.1002/jcu.21982

Minimally invasive ultrasound‐guided carpal tunnel release: A cadaver study

2012· article· en· W1979378926 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Clinical Ultrasound · 2012
Typearticle
Languageen
FieldMedicine
TopicPeripheral Nerve Disorders
Canadian institutionsUniversité de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsMedicineRetinaculumCarpal tunnel syndromeNeurovascular bundleCadaverCarpal tunnelUltrasoundDissection (medical)SurgeryEndoscopic carpal tunnel releaseCarpal tunnel releaseCadaveric spasmRadiologyWrist

Abstract

fetched live from OpenAlex

BACKGROUND: Carpal tunnel syndrome is a common condition frequently requiring surgical intervention. We describe a new minimally invasive surgical technique for carpal tunnel release utilizing ultrasound (US) visualization. METHODS: The technique was performed on 20 fresh frozen cadaver specimens. A surgical metallic probe with a "U"-shaped trough and upward curved distal tip was precisely positioned in the carpal tunnel with US guidance followed by division of the flexor retinaculum (FR) with a "V"-shaped scalpel. RESULTS: Complete division of the FR was confirmed by US. Dissection performed on the specimens confirmed complete release of FR and absence of neurovascular injury. The distance from the division of the FR to these structures, the "safety margins," was measured. CONCLUSIONS: This new technique for carpal tunnel release appears to combine the safety and efficacy of open carpal tunnel surgery with the advantages of the minimally invasive techniques.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.027
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.078
GPT teacher head0.406
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it