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Record W2286944473 · doi:10.1309/ajcpqh8k5tnuadlv

Primary Marginal Zone Lymphoma of the Subcutis Associated With Panniculitis and Fat Necrosis

2015· article· en· W2286944473 on OpenAlexaff
M. Herman Chui, Vishal Kukreti, Cuihong Wei, Jan Delabie

Bibliographic record

VenueAmerican Journal of Clinical Pathology · 2015
Typearticle
Languageen
FieldMedicine
TopicCutaneous lymphoproliferative disorders research
Canadian institutionsToronto General HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsFat necrosisPanniculitisPathologyMarginal zoneNecrosisMedicineLymphomaImmunologyAntibody

Abstract

fetched live from OpenAlex

OBJECTIVES: Lymphocytic infiltrates in the subcutaneous adipose tissue, often accompanied by fat necrosis, are typically seen in benign panniculitis. Diagnostic considerations include subcutaneous panniculitis-like T-cell lymphoma and cutaneous γδ T-cell lymphoma, whereas a primary subcutaneous B-cell lymphoma in this setting has not been previously described. METHODS: We report the case of a 72-year-old woman with multiple deep cutaneous nodules on the trunk and upper extremities. RESULTS: During 3 years of clinical follow-up, new skin nodules developed, while existing lesions remained stable or regressed. No other organ involvement was detected. Sequential biopsy specimens of the subcutaneous lesions revealed patchy, predominantly septal, lymphocytic infiltrates associated with extensive hyaline fat necrosis. The histologic and immunophenotypic features were consistent with marginal zone lymphoma. Genotyping revealed an identical monoclonal immunoglobulin gene rearrangement across all biopsy specimens. CONCLUSIONS: This case represents, to our knowledge, the first reported case of primary subcutaneous B-cell lymphoma closely associated with panniculitis.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
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 head0.051
GPT teacher head0.364
Teacher spread0.313 · 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.

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

Citations5
Published2015
Admission routes1
Has abstractyes

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