MétaCan
Menu
Back to cohort
Record W2112737203 · doi:10.1017/s0022215110002926

Metastasis of follicular variant of papillary thyroid carcinoma masquerading as primary temporal bone tumour

2011· article· en· W2112737203 on OpenAlexaff
Suying Hugh, Danny Enepekides, J. Wong, Robert Yeung, Vincent Lin

Bibliographic record

VenueThe Journal of Laryngology & Otology · 2011
Typearticle
Languageen
FieldMedicine
TopicEar and Head Tumors
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineThyroid carcinomaThyroidBiopsyTemporal bonePathologyBone metastasisNeck massRadiologySkullMetastasisSurgeryCancerInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: We describe the first published case of papillary thyroid carcinoma metastatic to the temporal bone. CASE REPORT: A 64-year-old woman presented with a large left temporal bone mass centred in the jugular foramen, initially thought to be a paraganglioma or schwannoma. She was simultaneously being investigated for a left-sided thyroid nodule, which was found to be unremarkable on repeated fine needle aspiration cytology. A biopsy of the temporal bone mass indicated that it was of thyroid origin. The patient underwent total thyroidectomy, which enabled a final diagnosis of follicular-variant papillary thyroid carcinoma with metastasis to the temporal bone. CONCLUSION: Although biopsy is not the usual management for many types of temporal bone mass, pathological investigation is recommended if the tumour has an atypical growth rate, location, spread and/or radiological features. Metastasis of papillary thyroid carcinoma to the skull base is extremely rare, and correct diagnosis is essential in order to pursue an effective treatment plan.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.026
GPT teacher head0.256
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations13
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Laryngology & OtologySame topicEar and Head TumorsFrench-language works237,207