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Record W2977904164 · doi:10.1097/rlu.0000000000002675

Low 68Ga–PSMA PET/CT Uptake in Chronic Intramuscular Nodular Fasciitis

2019· article· en· W2977904164 on OpenAlexaff
Nicolas Plouznikoff, Carlos Artigas, Ioannis Karfis, Patrick Flamen

Bibliographic record

VenueClinical Nuclear Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicUrologic and reproductive health conditions
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineNodular fasciitisProstate cancerFasciitisGlutamate carboxypeptidase IISoft tissueDifferential diagnosisPathologyRadiologyCancerInternal medicine

Abstract

fetched live from OpenAlex

Nodular fasciitis is an uncommon benign mass-forming myofibroblastic proliferation, most frequently found in the upper limbs, with only rare intramuscular cases. We describe herein a case of chronic nodular fasciitis of the left triceps muscle with a low Ga-labeled prostate-specific membrane antigen (PSMA) ligand uptake on PET/CT. Ga-PSMA ligands bind to PSMA-expressing prostate cancer cells, but uptake has also been demonstrated in other solid neoplasms and various benign lesions. Nodular fasciitis should be included in the differential diagnosis of soft tissue lesions with variable Ga-PSMA uptake.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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)0.0080.003

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 head0.035
GPT teacher head0.364
Teacher spread0.329 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2019
Admission routes1
Has abstractyes

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