Primary Burkitt lymphoma of the supraglottic larynx: a case report and review of the literature
Bibliographic record
Abstract
BACKGROUND: Burkitt lymphoma is a high-grade B cell lymphoma which accounts for less than 1% of all adult cases of non-Hodgkin lymphoma. Rare instances of Burkitt lymphoma developing secondary to prior irradiation have been described in the literature. CASE PRESENTATION: We report a case of a 90-year-old white woman with a recent history of irradiation for Hodgkin lymphoma, who presented with primary Burkitt lymphoma of the supraglottic larynx. She underwent emergency awake tracheostomy with biopsy. A histopathological examination confirmed non-Hodgkin, B cell lymphoma of Burkitt type. Given her age and poor functional status, she underwent treatment with palliative radiotherapy. CONCLUSIONS: A literature review was performed to clarify the clinical characteristics of radiation-induced Burkitt lymphoma in the head and neck, as well as its diagnosis and management. The present case represents the second case of radiation-induced Burkitt lymphoma in the head and neck in the reported literature, and the first in the supraglottic larynx. It highlights the need to maintain a broad differential in the assessment of malignancies of the larynx, particularly in patients with a prior history of radiation treatment.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".