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Record W1891584689 · doi:10.1186/1742-6413-4-5

Solitary metastatic cancer to the thyroid: a report of five cases with fine-needle aspiration cytology

2007· article· en· W1891584689 on OpenAlexaff
Mark Lee, Yuri K. Batoroev, Alexandre Nakao Odashiro, Gia‐Khanh Nguyen

Bibliographic record

VenueCytoJournal · 2007
Typearticle
Languageen
FieldMedicine
TopicCancer Diagnosis and Treatment
Canadian institutionsUniversity of Alberta HospitalAlberta Hospital Edmonton
Fundersnot available
KeywordsMedicineFine-needle aspirationThyroidMetastatic carcinomaOccultThyroid cancerPathologyThyroid carcinomaCancerRadiologyBiopsyCarcinomaInternal medicine

Abstract

fetched live from OpenAlex

Three men and 2 women with ages ranging from 37 to 70 years, clinically and histologically confirmed solitary, palpable metastatic cancers to the thyroid (SMCT) and preoperative cytologic investigation of their thyroid lesions by fine-needle aspiration (FNA), were reviewed. Four patients were known to have a solid cancer treated by radical surgery 1 to 4 years prior [1 bronchogenic squamous cell carcinoma, 1 parotid adenoid cystic carcinoma, 1 renal cell carcinoma (RCC) and 1 cutaneous melanoma], and 1 patient had no past history of cancer. Direct smears prepared from the patients' thyroid FNAs were fixed in 95% ethanol and stained with the Papanicolaou method. In 3 cases, immunostaining of the aspirated tumor cells with thyroglobulin antibody was performed, and in 1 case an aspiration smear was stained with commercial HMB-45 antibody. A correct cytodiagnosis of metastatic cancer to the thyroid was made in all 5 cases. In 1 patient the thyroid FNA revealed a metastatic RCC that led to the discovery of a clinically occult RCC. All 5 patients died of metastatic disease 27 to 40 months after surgical resection of their SMCTs.

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)0.004
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.035
GPT teacher head0.344
Teacher spread0.308 · 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

Citations34
Published2007
Admission routes1
Has abstractyes

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