MétaCan
Menu
Back to cohort
Record W2034286349 · doi:10.1097/lgt.0b013e31829863b3

Vaginal Epithelioid Angiosarcoma

2013· article· en· W2034286349 on OpenAlexaff
Maxime Richer, Maroie Barkati, Caroline Meunier, Suzanne Fortin, Diane Provencher, Kurosh Rahimi

Bibliographic record

VenueJournal of Lower Genital Tract Disease · 2013
Typearticle
Languageen
FieldMedicine
TopicVascular Tumors and Angiosarcomas
Canadian institutionsHôpital Maisonneuve-RosemontUniversité de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsDesminKeratinVimentinMedicinePathologyCytokeratinCD34Epithelioid cellCD31AngiosarcomaS100 proteinImmunohistochemistryBiologyCell biology

Abstract

fetched live from OpenAlex

OBJECTIVE: Epithelioid angiosarcoma of the vagina is a rare variant that can easily be misdiagnosed considering the much higher frequency of epithelial neoplasms at that particular site. MATERIAL AND METHODS: We report the case of a 41-year-old gravida 2, para 1, aborta 1, with no prior history of irradiation, who consulted after the discovery of 3 lesions at the lower right portion of the vagina. RESULT: The lesion consisted of epithelioid cells with high-grade nuclei and prominent nucleoli. These cells expressed CD31, CD34, factor VIII, Fli-1, vimentin, smooth muscle actin, and WT-1. Keratin 8/18 was focally positive. They were immunonegative for keratin AE1/AE3, keratin 34βE12, keratin 7, keratin 20, S100, HMB-45, myogenin, desmin, and human herpesvirus type 8. Polymerase chain reaction-based HPV viral search was also negative. CONCLUSIONS: A broad immunohistochemical panel including antibodies against vascular differentiation markers as well as various cytokeratins allows proper diagnosis of this unusual and aggressive entity.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0010.000

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 head0.009
GPT teacher head0.242
Teacher spread0.232 · 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.

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

Citations6
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Lower Genital Tract DiseaseSame topicVascular Tumors and AngiosarcomasFrench-language works237,207