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Record W2990322407 · doi:10.5430/crcp.v6n1p32

Paravaginal female adnexal tumor of probable Wolffian origin mimicking vaginal spindle cell epithelioma on biopsy

2019· article· en· W2990322407 on OpenAlexaff
Ryan Yu, Brigitte Courteau, Ryan Rebello, Alice Lytwyn, Monalisa Sur, Salem Alowami

Bibliographic record

VenueCase Reports in Clinical Pathology · 2019
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsHamilton Health SciencesJuravinski HospitalSt. Joseph's HospitalMcMaster University
Fundersnot available
KeywordsMedicineBiopsyEpitheliomaDifferential diagnosisPathologyCarcinoma

Abstract

fetched live from OpenAlex

Female adnexal tumor of probable wolffian origin (FATWO) is a tumor of low malignant potential that arises predominantly in the broad ligament, mesosalpinx, and ovarian hilus. The rarity of FATWO increases its susceptibility to misdiagnosis as other tumors, especially when it occurs at an unusual site. We report a 29-year-old woman with a 7.2 cm left paravaginal FATWO that invaded into the vaginal lumen. The initial biopsy demonstrated features suggestive of vaginal spindle cell epithelioma, but with increased Ki67 proliferation index. Pathologists should be aware that the common sieve-like architecture of FATWO may not be apparent on small biopsies, which by sampling error may demonstrate predominantly the less common spindle cell architecture. Awareness of FATWO in the differential diagnosis of paravaginal tumors may help to avoid misinterpretation as vaginal spindle cell epithelioma, a previously unappreciated pitfall in the diagnosis of FATWO.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.059
GPT teacher head0.380
Teacher spread0.321 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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