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Record W2347052333 · doi:10.7863/ultra.15.07062

Ultrasound‐Guided Cervical Facet Joint Injections

2016· article· en· W2347052333 on OpenAlexaff
Véronique Freire, Detlev Grabs, Marianne Lepage-Saucier, Thomas Moser

Bibliographic record

VenueJournal of Ultrasound in Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsUniversité du Québec à Trois-RivièresCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineFacet jointCadaveric spasmFacet (psychology)CadaverBody mass indexUltrasoundExact testRadiographySurgeryNuclear medicineOrthodonticsRadiologyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: To evaluate the feasibility of ultrasound (US)-guided cervical facet injections and to identify the potential obstacles to routine use of this technique. METHODS: After Institutional Review Board approval, 4 cadavers were used in this study. Age, sex, body mass index, and neck circumference were recorded. A total of 40 facet injections were performed from C2-C3 to C6-C7 under US guidance with radiodense colored latex. Visibility of cervical tissues and the needle was graded as complete, partial, or null (no injection was performed in this case). Frontal and lateral radiographs were taken, followed by cadaveric dissection to assess contrast and the latex distribution, which were recorded as intra-articular (success), peri-articular (success), or absent (failure). A 2-tailed Fisher exact test and Pearson χ(2)test were used to evaluate difference between success and failure rates for qualitative variables. RESULTS: Seventy-eight percent (31 of 40) of US-guided facet joint injections were successful. No statistically significant differences were found regarding body mass index, neck circumference, needle caliber, operators, and between left and right sides. All failures involved C2-C3 and C6-C7 levels, and this result was statistically significant (Pearson χ(2) = 20.645; P < .001). CONCLUSIONS: Although US-guided cervical facet joint injections are feasible, substantial obstacles may prevent their routine use. The main obstacle is to effectively identify and target the correct cervical level in a prone position.

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)0.001
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.047
GPT teacher head0.334
Teacher spread0.287 · 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.

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

Citations15
Published2016
Admission routes1
Has abstractyes

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