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Record W2006612491 · doi:10.1177/1066896908316901

The Role of Cytokeratin 5/6 as an Adjunct Diagnostic Tool in Breast Core Needle Biopsies

2008· article· en· W2006612491 on OpenAlexaff
Sharon Nofech‐Mozes, Claire Holloway, Wedad Hanna

Bibliographic record

VenueInternational Journal of Surgical Pathology · 2008
Typearticle
Languageen
FieldMedicine
TopicBreast Lesions and Carcinomas
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsAdjunctCore biopsyCytokeratinCore (optical fiber)MedicinePathologyBreast cancerInternal medicineImmunohistochemistryComputer scienceCancer

Abstract

fetched live from OpenAlex

In this article, the probability of finding malignancy on surgical excision after applying well-defined morphological criteria combined with immunohistochemical evaluation of cytokeratin 5/6 for the diagnosis of atypical ductal hyperplasia on core biopsies is examined. On the basis of morphology alone, the reviewers reclassified the diagnoses of 140 core biopsies as follows: atypical ductal hyperplasia (n = 64), ductal hyperplasia of usual type (n = 44), flat epithelial atypia (n = 11), and miscellaneous benign (n = 21). Cytokeratin 5/6 immunostain was negative in 85.7% of atypical ductal hyperplasia cases and positive in 77.8% of ductal hyperplasia of usual type cases. The probability of predicting malignancy in a surgical specimen following a core biopsy increased from 43.6% to 67.8% (P = .002) by adhering to defined criteria and using cytokeratin 5/6 immunostain. Expertise and adherence to defined criteria are required to establish an accurate diagnosis of atypical ductal hyperplasia. Cytokeratin 5/6 can be a useful adjunct in cases with ductal hyperplasia but not in columnar cell lesions, where it is universally negative.

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)0.000
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 score0.111
Threshold uncertainty score0.236

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 head0.015
GPT teacher head0.276
Teacher spread0.260 · 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

Citations21
Published2008
Admission routes1
Has abstractyes

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