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Record W4320075494 · doi:10.15406/joentr.2022.14.00499

Relationship of step section and accuracy of pathologic diagnosis of thyroid cancers

2022· article· en· W4320075494 on OpenAlexaff
N Mokhtari Amir Majdi, V Derhami, Mohammad Reza Golrokhian Sani

Bibliographic record

VenueJournal of Otolaryngology-ENT Research · 2022
Typearticle
Languageen
FieldMedicine
TopicThyroid Cancer Diagnosis and Treatment
Canadian institutionsNOSM University
Fundersnot available
KeywordsMedicineThyroidFrozen section procedureRadiologyDissection (medical)Neck dissectionLymph nodeMedical historySurgeryCarcinomaPathologyInternal medicine

Abstract

fetched live from OpenAlex

Objective: This case history shows the significance of the step section to be performed on any extra thyroidal neck mass containing thyroid tissue. The material for pathologic diagnosis was a neck mass removed from the left tracheoesophageal groove in a 43-year-old lady whose right hemithyroidectomy was performed by the authors fourteen years ago (Mrs.D.).Her previous pathologic report was follicular adenoma. The report on her new pathologic specimen was" benign thyroid tissue." However, this report did not match her previous medical history, and we requested a step section (extensive levelling) to be performed on the specimen. Her final pathologic diagnosis was "near-total replacement of a lymph node by well- differentiated thyroid carcinoma." She underwent a total thyroidectomy and central neck dissection, followed by our nuclear medicine team for seven years.

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)0.005
metaresearch head score (Gemma)0.071
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.071
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.072
GPT teacher head0.374
Teacher spread0.302 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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Same venueJournal of Otolaryngology-ENT ResearchSame topicThyroid Cancer Diagnosis and TreatmentFrench-language works237,207