Dramatic Inflammatory Regression of Choroidal Metastases from Renal Cell Carcinoma following Ipilimumab and Nivolumab Immunotherapy: A Case Series
Bibliographic record
Abstract
Introduction: Renal cell carcinoma (RCC) is a rare cause of ophthalmic metastasis. Immune checkpoint blockers (ICBs) such as ipilimumab and nivolumab (ipi/nivo) are first-line therapies for advanced RCC. There are limited efficacy reports of ICBs for RCC choroidal metastases (CMs). Case One: A 43-year-old male with metastatic (lung) clear cell RCC presented with left eye scleritis and a 3.4 mm choroidal mass. One week after starting ipi/nivo, the lesion rapidly expanded to 11.9 mm with vitritis, subtotal exudative retinal detachment (ERD), and features of necrosis (heterogenous echogenicity). The lesion regressed over 10 months to 1.29 mm with resolution of ERD and improved visual acuity from counting fingers to 20/50. Case Two: A 63-year-old male with clear cell RCC presented with a right eye 7.2 mm choroidal mass and subretinal haemorrhage. The lesion enlarged to 10.9 mm with ERD and heterogenous echogenicity after starting ipi/nivo, which then regressed to 2.4 mm by 7 months, leaving retinal folds. Vision declined to hand motions and remained stable. Conclusion: Ipi/nivo can induce rapid and sustained regression of RCC CM but may cause profound intraocular inflammation, collateral damage to surrounding structures, and subsequent vision loss. This response may be enhanced in the presence of pre-existing scleritis.
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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 | 0.000 |
| 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".