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Record W1996220006 · doi:10.1002/dc.20024

Fine‐needle aspiration of primary and recurrent dermatofibrosarcoma protuberans

2004· article· en· W1996220006 on OpenAlexaff
Jerzy Klijanienko, Jean‐Michel Caillaud, Réal Lagacé

Bibliographic record

VenueDiagnostic Cytopathology · 2004
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsHôtel-Dieu de QuébecCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsDermatofibrosarcoma protuberansMedicinePathologyDermatofibrosarcomaNuclear atypiaAtypiaNodular fasciitisNeurofibromaFine-needle aspirationMalignancyBiopsySoft tissueNeurofibromatosisImmunohistochemistry

Abstract

fetched live from OpenAlex

Dermatofibrosarcoma protuberans (DFSP) is a nodular cutaneous mesenchymal tumor of intermediate malignancy. Studies on fine-needle aspiration of DFSP are extremely rare; to our knowledge, only 33 cases have been reported. We have reviewed 14 examples of DFSP in 13 patients. Ten primary tumors were aspirated before surgical biopsy and four recurrent lesions (all from superficial lesions) were also investigated by fine-needle aspiration. All smears were surprisingly homogeneous and composed of isolated spindle cells in all cases (one unsatisfactory smear is excluded). Tissue fragments with a stroriform pattern were seen in 11 cases, fibrillary stromal fragments in 10 cases, naked nuclei in 8 cases, slight to moderate cytonuclear atypia in 5 cases. Mitotic figures, myxoid background, mast cells, and dispersed adipocytes were rare. Giant cells, necrosis, or marked cytonuclear atypia were not seen. DFSP shares morphological characteristics of some low-grade spindle-cell neoplasms. It should be differentiated from other benign low- and intermediate-grade spindle neoplasm such as low-grade fibrosarcoma, fibromyxosarcoma, low-grade malignant peripheral nerve sheath tumor, benign peripheral nerve sheath tumor, nodular fasciitis, and fibrous histiocytoma.

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 score0.087
Threshold uncertainty score0.557

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 head0.017
GPT teacher head0.256
Teacher spread0.239 · 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

Citations44
Published2004
Admission routes1
Has abstractyes

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