Visual Acuity Recovery in a Case of Idiopathic Retinal Vasculitis Aneurysms and Neuroretinitis
Bibliographic record
Abstract
PURPOSE: To describe the visual recovery after intravitreal injections of the antivascular endothelial growth factor, bevacizumab, in a case of vaso obliteration from idiopathic retinal vasculitis, aneurysm, and neuroretinitis (IRVAN). The name IRVAN was given to the condition to highlight the key findings present in the disease. IRVAN is a severe, sight threatening condition that can lead to peripheral capillary non-perfusion and vision loss from the ischemic sequelae of vascular occlusion. Panretinal photocoagulation (PRP) is the current standard of care for IRVAN but visual outcome is poor if PRP is initiated after neovascularization develops. Intravitreal bevacizumab has success at treating neovascularization from other ischemic retinopathies and inflammatory retinal conditions that have similar characteristics to IRVAN. CASE REPORT: This case report describes a patient with decreased vision in the OS. The patient presented with best-corrected visual acuity of 20/20 in the OD and count fingers at 4 ft in the OS. Evaluation revealed findings consistent with an advanced stage of IRVAN. Anterior and posterior neovascularization had developed from extensive capillary non-perfusion in both retinas. A dense vitreous hemorrhage blocked vision OS. Bilateral intravitreal injections of bevacizumab and extensive PRP were given in the area of retinal ischemia for treatment. After 4 months, the patient's vision had improved from count fingers in the OS to 20/40. CONCLUSIONS: IRVAN has favorable outcomes when treated with a combination of PRP and intravitreal injections of antivascular endothelial growth factor. This case demonstrates the effectiveness of this combination treatment in a case of IRVAN with both posterior and anterior neovascularization.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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 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".