Metastatic neuroendocrine tumor masquerading as orbital cysticercosis
Bibliographic record
Abstract
Orbital metastases secondary to neuroendocrine tumors are exceedingly rare. We present a unique case of a 30-year-old female initially presenting with fever, chills, periorbital swelling, and painful proptosis. CT orbits revealed two ovoid-shaped ring-enhancing lesions in the right lateral and superior rectus muscles and clear sinuses, atypical for infectious post-septal cellulitis. Further work-up included serologic analysis, auto-immune panel, and MRI. Further imaging showed pseudocystic orbital lesions mimicking orbital cysticercosis. Additionally, given the bilateral nature of the lesions and patient's country of origin, this parasitic process was highly suspected. A course of albendazole and steroids led to resolution of symptoms. With a presentation at age 30, this is by far the youngest case reported in literature to date.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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 teacher head, 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".