PARANEOPLASTIC VITELLIFORM RETINOPATHY IN METASTATIC CUTANEOUS MELANOMA
Bibliographic record
Abstract
In Brief Purpose: To report the clinical picture and investigative findings of unusual paraneoplastic retinopathy lesions in a patient with metastatic skin melanoma. Methods: A middle-aged man presented with mild blurring of vision in one eye. He had metastatic skin melanoma to the axillary lymph nodes, which was treated by interferon. Fundus photographs showed bilateral unusual multiple vitelliform lesions. Retinal and serologic investigations were performed. Results: These vitelliform lesions involved the outer retinal layers and retinal pigment epithelium (RPE) as demonstrated by optical coherence tomography and have completely blocked choroidal fluorescence without late staining in angiography. There was only minimal reduction of Arden ratio in electro-oculography, although electroretinography was essentially normal. Antibipolar cells autoantibodies were not detected in this case. Conclusion: This melanoma-related paraneoplastic retinopathy may represent a separate entity from the classic findings in melanoma-associated retinopathy (MAR) syndrome. Optical coherence tomography is helpful to differentiate it from simulating lesions. Recognition of this presentation can help to diagnose the presence of an occult metastaticmelanoma in some cases. This melanoma-related paraneoplastic retinopathy may represent a separate entity from the classic findings in melanoma-associated retinopathy (MAR) syndrome. Optical coherence tomography is helpful to differentiate it from simulating lesions. Recognition of this presentation can help to diagnose the presence of an occult metastaticmelanoma in some cases.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".