Primary Vitreoretinal Lymphoma Presenting Solely with Asymptomatic Peripheral Drusenoid Lesions
Bibliographic record
Abstract
Introduction: Primary vitreoretinal lymphoma (PVRL) is a rare malignant tumor that typically involves the retina, vitreous, or optic nerve head. PVRL often occurs concurrently with central nervous system lymphoma. Here, we present the first report of a patient with biopsy-confirmed PVRL presenting solely with asymptomatic peripheral drusenoid lesions. Case Presentation: A woman in her 70s presented with new elevated amelanotic yellow lesions with overlying pigment in both of her eyes not previously seen prior to cataract surgery. Over the next 4 months, there was waxing and waning of lesions which resolved and first appeared in the right eye and then the left. A diagnostic vitrectomy of the left eye revealed B-cell lymphoma. The patient elected for initial treatment with radiation therapy of both orbits. A new lesion was identified in her right eye nearly 18 months after starting maintenance therapy with ibrutinib, following which systemic chemotherapy with methotrexate was initiated. Conclusion: Elevated clinical suspicion for a malignant process is needed for patients with progressive new retinal lesions in older age. Local radiation therapy to the orbits alone may not be sufficient to prevent progression despite initial presentation showing confinement of disease to the intraocular space.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".