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Nodular fasciitis of the head and neck region: a clinicopathologic description in a series of 30 cases

2009· article· en· W1967380562 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Cutaneous Pathology · 2009
Typearticle
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsNodular fasciitisMedicineTrunkPathologyDifferential diagnosisMyofibroblastHead and neckSoft tissueFasciitisLesionRadiologySurgeryBiologyFibrosis

Abstract

fetched live from OpenAlex

Nodular fasciitis (NF) is a reactive lesion composed of fibroblasts/myofibroblasts and most commonly found in extremities and trunk. NF has been described in the head and neck region (HNR) in 13-20% of cases. It is our impression based on consultation experience that many pathologists do not consider NF in the differential diagnosis of soft tissue masses arising in the HNR. Moreover, it is common for these lesions to be incompletely excised, leading to additional challenges in diagnosis. We describe 30 cases of NF of the HNR in order to focus attention on this frequently overlooked diagnosis. While they had the typical histologic features of NF, the lesions had a tendency for smaller size, increased skeletal muscle involvement (30%) compared to fasciitis elsewhere in the body and diffuse and strong actin expression. Follow up demonstrated one recurrence (7.1%) higher than reported elsewhere in the body. These latter features may add to the challenge in diagnosing NF in these locations.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score0.359

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.040
GPT teacher head0.298
Teacher spread0.258 · 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