Cancer-Associated Retinopathy Presenting as Panuveitis Secondary to Minimally Invasive Follicular Thyroid Carcinoma
Bibliographic record
Abstract
Purpose: To describe a case of cancer-associated retinopathy (CAR) secondary to follicular thyroid carcinoma. Methods: A single retrospective case was evaluated. Results: A 68-year-old woman presented with floaters and decreased vision in the right eye and was found to have panuveitis. The left eye subsequently developed panuveitis 6 months later, ultimately resulting in retinal atrophy. Extensive investigations, including vitreous biopsies, imaging, and positron emission tomography, led to a diagnosis of CAR secondary to minimally invasive follicular thyroid carcinoma with serology positive for anti-enolase, anti-HSP60, and anti-glyceraldehyde-3-phosphate dehydrogenase. Conclusions: Cases of CAR secondary to minimally invasive follicular thyroid carcinoma are rare. Ensuring an early diagnosis and promptly initiating treatment, with a goal of preserving sight, are imperative.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".