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Record W2057910975 · doi:10.1155/2014/286190

Calcific Tendonitis of the Longus Colli Muscle: A Noninfectious Cause of Retropharyngeal Fluid Collection

2014· article· en· W2057910975 on OpenAlexaff
Ronak Rahmanian, Chris Diamond

Bibliographic record

VenueCase Reports in Otolaryngology · 2014
Typearticle
Languageen
FieldMedicine
TopicOtolaryngology and Infectious Diseases
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOdynophagiaMedicineRetropharyngeal abscessNeck painDysphagiaTendonitisRadiologyOtorhinolaryngologyCalcific tendinitisSurgeryIncision and drainageRetropharyngeal spaceAbscessPathologyRotator cuffComputed tomography

Abstract

fetched live from OpenAlex

Calcific tendonitis of the longus colli (CTLC) muscle is an underrecognized cause of spontaneous acute or subacute neck pain, dysphagia, or odynophagia. Imaging may reveal a retropharyngeal fluid collection leading to the presumed diagnosis of retropharyngeal abscess. Recognition of this uncommon presentation is important to prevent unnecessary surgical incision and drainage. A 44-year-old otherwise healthy male presented with a 2-week history of progressive neck pain, stiffness, and odynophagia. A noncontrast CT scan of the cervical spine revealed a retropharyngeal fluid collection with a small area of calcification anterior to C2. There was a presumed diagnosis of retropharyngeal abscess. The patient was afebrile with normal vital signs. Flexible nasolaryngoscopy was unremarkable. C-reactive protein was elevated but all other bloodwork was normal with no evidence of an infective process. A CT scan was repeated with IV contrast showing no enhancement around the fluid collection. A diagnosis of CTLC was made. The patient was successfully managed with a short course of intravenous steroids and oral NSAIDs with complete resolution of symptoms. Clinically CTLC can mimic more serious disease processes. Identifying pathognomonic imaging findings often confirms the diagnosis. Awareness of this condition by the otolaryngologist will ensure proper patient management and avoidance of unnecessary procedures.

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)0.002
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 score0.254
Threshold uncertainty score0.839

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.010
GPT teacher head0.256
Teacher spread0.246 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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