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Record W2099956305 · doi:10.1177/229255030701500302

Atypical fibroxanthoma in a young woman: An unusual case presentation

2007· article· en· W2099956305 on OpenAlexvenueno aff
Mark M. Meléndez, Xiaoti Xu, Steve A. McClain, Su-I Daniel Huang

Bibliographic record

VenueCanadian Journal of Plastic Surgery · 2007
Typearticle
Languageen
FieldDentistry
TopicOral and Maxillofacial Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsAtypical fibroxanthomaCD68Giant cellMedicinePathologyDifferential diagnosisNodule (geology)HistopathologyHistiocyteImmunohistochemistryBiology

Abstract

fetched live from OpenAlex

Atypical fibroxanthoma (AFX) is an uncommon neoplasm, identified as a spindle cell tumour that is generally found in elderly patients on sun-exposed areas. The majority of cases of AFX are benign, and metastasis is a rare phenomenon. The first case in the literature of AFX is described in a young woman with no previous risk factors who presented with a three-month history of an enlarging nodule of the left nasal alar. Excision showed the lesion to be composed of hyperchromatic, pleomorphic, vacuolated spindle cells and multinucleated giant cells. The tumour cells stained positive for macrophage-histiocyte antigen alpha(1)-antitrypsin, neurokinin-1, CD68 and alpha(1)-antichymotrypsin. The present case report highlights the importance of correct diagnosis for AFX with adequate excision and by considering the histopathology and immunohisto-chemistry of its clinical differential diagnosis.

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)0.003
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 score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.030
GPT teacher head0.283
Teacher spread0.253 · 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

Citations6
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Plastic SurgerySame topicOral and Maxillofacial PathologyFrench-language works237,207