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Record W2774071740 · doi:10.1177/1066896917747732

Epithelial Myoepithelial Carcinoma of the Nasal Cavity: Clinical, Histopathological, and Immunohistochemical Distinction of a Case Report

2017· article· en· W2774071740 on OpenAlexaff
Sally Nguyen, Marjorie Perron, Sylvie Nadeau, Alexandre Nakao Odashiro, Marie-Noëlle Corriveau

Bibliographic record

VenueInternational Journal of Surgical Pathology · 2017
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Tumors Diagnosis and Treatment
Canadian institutionsCentre hospitalier universitaire de QuébecUniversité Laval
Fundersnot available
KeywordsImmunohistochemistryNasal cavityMyoepithelial cellPathologyMedicineHistopathologyCarcinomaOral cavityAnatomy

Abstract

fetched live from OpenAlex

BACKGROUND: Epithelial myoepithelial carcinomas (EMCs) are rare low-grade salivary gland tumors. Here, we report the case of a 75-year-old man presenting with an oncocytic variant of EMC of the nasal cavity, initially diagnosed as an oncocytoma. METHODS: Our patient underwent functional sinus surgery in 2012. On pathology, an oncocytic neoplasm was found in the right nasal cavity, characterized by fragments of uniform bland oncocytic cells with bilayered arrangement of nuclei. Immunohistochemical stains demonstrated biphasic cells: luminal epithelial and basal cell-type myoepithelial cells. The tumor was best diagnosed as an oncocytoma. In 2015, the patient presented with a recurrent right inferior turbinate lesion, compatible with oncocytic EMC. RESULTS: The patient underwent oncological surgery and received adjuvant radiotherapy. He had no disease recurrence. CONCLUSION: Different variants of EMCs exist, such as oncocytic EMC. EMCs should be treated aggressively because they can be locally invasive, recur, and give rise to distant metastases.

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)0.001
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 score0.132
Threshold uncertainty score0.351

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.039
GPT teacher head0.365
Teacher spread0.326 · 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.

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

Citations11
Published2017
Admission routes1
Has abstractyes

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