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Record W1971496184 · doi:10.1177/1066896910381897

Myopericytoma: A Pleural-Based Spindle Cell Neoplasm Off the Beaten Path

2011· article· en· W1971496184 on OpenAlexaff
Allison Edgecombe, Rebecca Peterson, Farid M. Shamji, Susan Commons, Harman Sekhon, Marcio M. Gomes

Bibliographic record

VenueInternational Journal of Surgical Pathology · 2011
Typearticle
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsDesminPathologyVimentinCytokeratinSolitary fibrous tumorCD34MedicineAnatomyHemangiopericytomaCalponinNeoplasmImmunohistochemistryBiologyStem cell

Abstract

fetched live from OpenAlex

Myopericytoma is a recently described hemangiopericytoma-like neoplasm with myoid differentiation. These tumors are typically located in the subcutaneous and soft tissues of the extremities. The authors report a rare pleural-based pulmonary myopericytoma in a 58-year-old woman. The lesion was grossly homogeneous and well circumscribed. Microscopically, it was composed of densely packed spindle cells organized as whorls and short interlacing fascicles with a concentric perivascular distribution. Immunohistochemical reactions were positive for vimentin, smooth muscle actin (SMA), muscle-specific actin, and Bcl-2 and negative for desmin, h-caldesmon, cytokeratin, and CD34. Atypically, increased mitotic activity was noted, but no other malignant features were identified. The differential diagnoses are discussed with specific emphasis on solitary fibrous tumor of the pleura, which is the most common benign pleural-based spindle cell neoplasm and may be a diagnostic pitfall with potentially harmful consequences.

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)0.001
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.034
GPT teacher head0.286
Teacher spread0.252 · 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

Citations10
Published2011
Admission routes1
Has abstractyes

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