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Record W1990259180 · doi:10.1159/000362247

Salivary Neoplasms Presenting with Radiologic Venous Invasion: An Imaging Pearl to Diagnosing Metastatic Renal Cell Carcinoma

2014· article· en· W1990259180 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueORL · 2014
Typearticle
Languageen
FieldMedicine
TopicCancer Diagnosis and Treatment
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineSalivary glandThyroidPathologyRadiologyRenal cell carcinomaParotid glandInternal medicine

Abstract

fetched live from OpenAlex

We report the case of a 64-year-old otherwise healthy woman who presented with left facial swelling. Imaging of the neck revealed multiple masses in the salivary and thyroid glands. The mass in the left parotid gland was associated with an intravenous extension into the retromandibular, facial and internal jugular veins in the left neck. Based on multiplicity of these masses and the presence of radiologic venous invasion, the diagnosis of metastatic renal cell carcinoma (RCC) was suggested on imaging, which was subsequently confirmed on systemic workup and pathology findings. Although RCC metastasizes to the salivary glands, the primary presentation of RCC with both salivary and thyroid gland masses is extremely rare, with only a few reports. The above feature and its imaging diagnosis based on local venous invasion are the highlights of this report.

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.

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 score0.047
Threshold uncertainty score0.546

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 head0.020
GPT teacher head0.259
Teacher spread0.239 · 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