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Record W4239474814 · doi:10.14740/jmc2584w

A Rare Case of Cutaneous Gamma Delta T-Cell Lymphoma With Complete Body Involvement

2016· article· en· W4239474814 on OpenAlexvenueno aff
Rahul Rachwani‐Anil, Sana Grover, Adarsh Hiremath

Bibliographic record

VenueJournal of Medical Cases · 2016
Typearticle
Languageen
FieldMedicine
TopicCutaneous lymphoproliferative disorders research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInguinal lymphadenopathyBiopsySkin biopsyLymphLymphomaAxillary lymph nodesRadiation therapyAxillary LymphadenopathyLesionLymph nodePeripheral T-cell lymphomaRadiologyPathologyT cellMetastasisInternal medicineCancer

Abstract

fetched live from OpenAlex

A 57-year-old female presented to the emergency department of our hospital with painful skin lesions since 3 months. On examination, ulcerating tumors and plaques occupied 100% of her body and enlarged firm left axillary lymph nodes were present. On imaging, PET scan revealed hypermetabolic cutaneous lesion, and hyperactive B/L axillary, inguinal and intra-parotid lymph nodes. Punch biopsy from right medial thigh skin lesion showed phenomenon of epidermotropism. PCR studies showed strong expression of TCR gamma by atypical cells. FNAC of axillary lymph node and bone marrow biopsy was negative. Based on histo-immunological evidence and dermatologist input, the diagnosis of cytotoxic cutaneous gamma delta T-cell lymphoma (CGDTCL) was made. Patient received five cycles of total skin electron beam therapy. Contrary to the present literature that suggests that cutaneous gamma delta T-cell lymphomas are resistant to chemotherapy and radiation, our patient responded very well to total skin electron beam radiation therapy. The tumors on her body flattened with complete resolution of pain and pruritis. This case report summarizes the unusual presentation of CGDTCL and response to treatment. J Med Cases. 2016;7(8):364-367 doi: http://dx.doi.org/10.14740/jmc2584w

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.056
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0020.000

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 head0.037
GPT teacher head0.318
Teacher spread0.281 · 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 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

Citations2
Published2016
Admission routes1
Has abstractyes

Explore more

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