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Record W4362723336 · doi:10.14740/jcgo852

Solitary Fibrous Tumor in the Vulva

2023· article· en· W4362723336 on OpenAlexvenueno aff
Ikuo Kudawara, Naohiro Yasuda, Atsuhiko Okagaki

Bibliographic record

VenueJournal of Clinical Gynecology and Obstetrics · 2023
Typearticle
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsnot available
Fundersnot available
KeywordsVulvaMedicineDermatology

Abstract

fetched live from OpenAlex

Solitary fibrous tumor (SFT) is a rare soft tissue tumor that is composed of fibroblastic tumor cells and collagenous stroma with NAB2-STAT 6 gene rearrangement. Vulvar SFTs are extremely rare. We report a case of vulvar SFT and review the current literature. A 71-year-old woman presented with a slow-growing mass in her left labia majora. The patient also complained of urinary stream diversion. Physical examination revealed a tumor in the left labia majora, which manifested as a rubbery, immobile, and tender mass. Computed tomographic images showed an enhanced vulvar mass. Magnetic resonance imaging (MRI) demonstrated a well-defined tumor with heterogeneous intermediate signal intensity on T1-weighted images and heterogeneous high signal intensity on T2-weighted images. The tumor measured 68 × 45 × 57 mm on MRI and was located in the labia majora. Percutaneous needle biopsy revealed an SFT. Immunohistochemically, the tumor cells were positive for STAT6 and CD34. Local excision was performed with negative surgical margins. Preoperative needle biopsy was useful for diagnosis and planning a surgical strategy. Local resection of the vulvar SFT improved symptoms of urinary stream diversion. There was no tumor recurrence during the 4 years following the surgery. J Clin Gynecol Obstet. 2023;12(1):19-23 doi: https://doi.org/10.14740/jcgo852

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)0.003
metaresearch head score (Gemma)0.065
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.065
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.095
GPT teacher head0.420
Teacher spread0.325 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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