High-Definition Optical Coherence Tomography Features of Primary Vitreoretinal Lymphoma
Bibliographic record
Abstract
Primary vitreoretinal lymphoma is a high-grade intraocular malignancy that presents as a vitritis with creamy subretinal lesions. In cases where the vitritis is dense, the characteristic subretinal lesions can be difficult to see on clinical examination. Novel high-definition imaging techniques that allow for deeper penetration through opaque media could have diagnostic utility in such cases. The authors present a case of a patient who presented with a dense vitritis that precluded visualization of fundus details. Spectral-domain optical coherence tomography using high-definition raster imaging demonstrated subretinal deposits along with outer retinal atrophy. These findings were suggestive of primary vitreoretinal lymphoma and prompted diagnostic vitrectomy. Pathological examination of the vitreous specimen confirmed the diagnosis of primary vitreoretinal lymphoma.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.001 | 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".