A Rare Case of Cutaneous Gamma Delta T-Cell Lymphoma With Complete Body Involvement
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".