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Superficial leiomyosarcoma: a clinicopathologic review and update

2009· review· en· W2084669540 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
Typereview
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPathologyCD117MedicineLesionImmunohistochemistryDermisSmooth Muscle TumorHyperplasiaLeiomyosarcomaNodule (geology)Soft tissueCD34Biology

Abstract

fetched live from OpenAlex

BACKGROUND: Superficial leiomyosarcomas (SLMSs) are rare soft tissue malignancies. A clinicopathologic review of 25 cases was undertaken. METHODS: Twenty-five cases diagnosed between 1990 and 2007 were reviewed. Clinical information was obtained from patient charts. Histologic slides were reviewed, and immunohistochemical stains were performed. RESULTS: All patients presented with a nodule. Fourteen tumors were confined to the dermis and 11 involved subcutaneous tissue. Smooth muscle markers were positive in all cases. CD117 was consistently negative. Novel histological features included epidermal hyperplasia, sclerotic collagen bands and increasing tumor grade with the depth of the lesion. Poor outcome was associated with size > 2 cm, high grade and depth of the lesion. CONCLUSIONS: SLMSs are rare but important smooth muscle tumors of the skin. The clinical presentation may be non-specific. The histologic appearance is that of a smooth muscle lesion, but epidermal hyperplasia and thickened collagen bands are previously underrecognized features. Immunohistochemical stains are useful in confirming smooth muscle differentiation, but CD117 is of limited utility. SLMS can appear low grade or even benign on superficial biopsies, leading to undergrading or a delay in the correct diagnosis. Clinicians and pathologists alike should therefore be aware of these pitfalls and must approach these cases with caution.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.868
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.051
GPT teacher head0.374
Teacher spread0.323 · 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