Combined Modality Treatment With Brentuximab Vedotin and Radiation Therapy for Primary Cutaneous Anaplastic Large Cell Lymphoma: A Case Report
Bibliographic record
Abstract
Primary cutaneous anaplastic large cell lymphoma (pcALCL) is a rare form of non-Hodgkins lymphoma. Current frontline treatments for pcALCL include surgical resection, anthracycline-based chemotherapy, and/or radiation therapy (RT) depending on disease severity. While brentuximab vedotin (BV) has been used for refractory/relapsed cases, it recently received Food and Drug Administration (FDA) approval for use in combination with chemotherapy for peripheral T-cell lymphomas. In this case report, we utilized a combined modality therapy of RT and BV for a limited stage aggressive pcALCL presentation for which routine management is contraindicated. A 59-year-old man with a history of peripheral vascular disease (PVD) presented with an aggressive pcALCL involving the left inferior eyelid and small ipsilateral level II hypermetabolic lymph nodes at stage IIE. Due to the patient's history of PVD, the tumor's rapid growth, possible lymph node involvement, and eye proximity, BV was chosen as the initial chemotherapy treatment followed by RT. Complete metabolic resolution of the primary cutaneous lesion and lymphadenopathy was reached after BV treatment alone; complete clinical response of the primary tumor was reached following radiation therapy. Relapse occurred within 7 months. Salvage cyclophosphamide, vincristine, etoposide, and prednisone were not effective. Retreatment with BV + RT is currently being used to treat the new lesions. Our case illustrates that a combination of BV and RT can be a safe and effective initial treatment in patients with limited stage pcALCL who cannot tolerate anthracycline-based chemotherapy. Our patient had a complete response but ultimately relapsed; thus larger clinical trials are needed to better understand early-stage disease.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".