P.089 A report of a patient presenting with orbital apex syndrome secondary to NK cell lymphoma (nasal type)
Bibliographic record
Abstract
Background: Orbital apex syndrome (OAS) can be caused by a broad range of disorders. There are several challenges present in the evaluation of these patients and in reaching a final diagnosis. We report the case of a 69-year-old male who presented with OAS that was determined to be secondary to a rare malignancy (NK cell lymphoma, nasal type). Methods: We analyze the pitfalls and diagnostic delays in this patient’s evaluation. Furthermore we propose a work up for undifferentiated cases of OAS. Results: To accurately diagnose the underlying cause of OAS, a direct biopsy should be obtained whenever possible. The appropriate imaging sequences should be arranged as lesions in this region can be easily missed. Adjunct tests include assessment in the serum and CSF for granulomatous and infectious diseases, along with chest imaging. As many causes are PET enhancing, PET CT is a useful modality for identifying sites for biopsy. Conclusions: OAS can provide a diagnostic challenge for clinicians, however a systematic approach can help determine the underlying etiology.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".