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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".