Natural Killer/T-Cell Nasal-Type Lymphoma
Bibliographic record
Abstract
STUDY DESIGN: A natural killer/T-cell lymphoma originating in the spine of a 60-year-old man is first reported, along with a brief review of the literature on the topic. OBJECTIVE: To describe the presentation and diagnosis of this disorder along with an emphasis on the importance of this type of rare tumor, needing early and accurate immunophenotypic profiling to make a right diagnosis. SUMMARY OF BACKGROUND DATA: Natural killer (NK)/T-cell lymphomas represent a rare type of lymphoma derived from either activated NK cell or rarely cytotoxic T cells. It usually originates in the nasal cavity/nasopharynx and invades the surrounding tissues, which is aggressive and, usually, a delay in diagnosis could result in a fatal outcome. METHODS: A 60-year-old man presented with severe pain in his chest and back for 3 weeks and developed paralysis soon. After we got a negative result of lymphomatous from a bone marrow biopsy, we took a piecemeal excision of the 10th thoracic vertebra. Titanium mesh with bone cement filling-in and mass screw internal fixation system were used for reconstructing the stability of the spine. The histopathology was consistent with NK/T-cell lymphomas. RESULT: The condition of the patient became worse suddenly after he regained some strength in his both lower limbs a week after the operation. He was not suitable for any aggressive chemotherapy or radiation therapy because of his poor condition and died 20 days later. CONCLUSION: NK/T-cell lymphomas originated at other sites but nasal cavity/nasopharynx do not present typical clinical features and symptoms in the absence of lymphadenopathy. There are possibilities for misdiagnosis of NK/T-cell lymphoma that originates at other sites. The unfavorable prognosis of this tumor emphasized the need for novel molecular targets and more effective therapies.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".