The Use of Intravitreal Anti-VEGF and Triamcinolone in the Treatment of Radiation Papillopathy
Bibliographic record
Abstract
BACKGROUND/AIMS: To evaluate a treatment regimen for radiation papillopathy. METHODS: This is a prospective noncomparative interventional case series of patients who developed radiation papillopathy after plaque brachytherapy for uveal melanoma. Treatment consisted of intravitreal bevacizumab (IVB) (1.25 mg in 0.05 mL) at the time of diagnosis, and 1 week later, intravitreal triamcinolone (IVK) (2.00 mg in 0.05 mL). One month later, patients again received both IVB and IVK. Patients were then switched to monotherapy with monthly IVB until the papillopathy resolved. RESULTS: = 0.005). Four of nine patients presented with a significant decline in visual acuity (VA) at the time of diagnosis of papillopathy. In all 4, significant improvement was documented following treatment. Five patients did not present with a decrease in VA, and in this group, 80% remained stable with treatment. CONCLUSIONS: In this series, patients who had a precipitous drop in VA at the time of diagnosis of radiation papillopathy returned to baseline VA following this treatment algorithm. This protocol was effective at maintaining stability of VA in 80% of those who developed papillopathy but did not present with an acute drop in VA.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".