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Record W1979112201 · doi:10.1097/rlu.0b013e3181a7d1e8

Tuberculous Synovitis of the Hip Joint Diagnosed by FDG PET-CT

2009· article· en· W1979112201 on OpenAlexaff
William Makis, Gad Abikhzer, Jerry Stern

Bibliographic record

VenueClinical Nuclear Medicine · 2009
Typearticle
Languageen
FieldMedicine
TopicInfectious Diseases and Tuberculosis
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicineRadiologyAsymptomaticPelvisAbdomenSynovitisNuclear medicinePositron emission tomographyMalignancyThorax (insect anatomy)EffusionArthritisPathologySurgeryAnatomyInternal medicine

Abstract

fetched live from OpenAlex

A 61-year-old woman with a history of lupus had a Positron emission tomography-computed tomography (PET-CT) scan as part of a malignancy workup for new cerebellar lesions. She had presented with new onset headaches. A CT scan of the thorax, abdomen, and pelvis, done 2 months earlier, had only shown an asymptomatic left hip joint effusion that was attributed to a nonerosive synovitis, possibly caused by her lupus. The PET-CT now showed extensive left acetabular and femoral head destructive bone lesions that had progressed significantly in 2 months, with associated intense 18F-fluoro-2-deoxy-glucose (FDG) uptake (maximal SUV 8.7). The left hip joint effusion also had intense FDG uptake. The hip joint was aspirated following the PET scan, and the synovial fluid grew mycobacterium tuberculosis. The PET-CT also showed an enlarged left iliopsoas bursa, which did not have FDG uptake and was therefore probably not infected.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.319
Teacher spread0.295 · 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 designNot applicable
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

Citations10
Published2009
Admission routes1
Has abstractyes

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