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Record W2002349894 · doi:10.1259/bjr.20130004

Ultrasound of distal brachialis tendon attachment: normal and abnormal findings

2013· article· en· W2002349894 on OpenAlexaff
Alberto Tagliafico, Johan Michaud, Mar Pérez, Carlo Martinoli

Bibliographic record

VenueBritish Journal of Radiology · 2013
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineBrachialisAvulsionUltrasoundTendonAnatomyCadaveric spasmCadaverSurgeryRadiologyElbow

Abstract

fetched live from OpenAlex

OBJECTIVE: To demonstrate normal and abnormal findings of distal brachialis tendon attachment in cadavers, normal volunteers and patients by means of ultrasound. METHODS: 3 cadaveric specimens, 30 normal volunteers and 125 patients were evaluated by means of ultrasound. Correlative MRI was obtained in volunteers. RESULTS: In all cases, ultrasound demonstrated the distal brachialis tendon shaped by two distinct tendons belonging to the deep head and superficial head of the brachialis muscle. Correlative MRI demonstrated that the brachialis is composed of two distinct tendons in 83% of volunteers (25/30). In the patient group, four avulsions with bony detachment involving the deep head, one delayed onset muscular soreness and three tendinous detachments with no bony avulsion involving one or two tendons were identified. The four patients with bony avulsion were immediately referred to the orthopaedic surgeon for a pre-surgical evaluation. Patients without bony avulsion were not referred to the surgeon. CONCLUSION: Detailed anatomy of the distal tendon is discernible in 100% of cases with ultrasound. There are two distinct tendons, and ultrasound can differentiate isolated lesions. In patients with distal brachialis tendon lesions, ultrasound may modify the clinical management of the patient. Advances in knowledge Detailed anatomy of the distal brachialis tendon is discernible with ultrasound and there are two distinct tendons.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score0.351

Codex and Gemma teacher scores by category

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

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 head0.007
GPT teacher head0.239
Teacher spread0.232 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations18
Published2013
Admission routes1
Has abstractyes

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