Clinical course of acute zonal occult outer retinopathy complicated by choroidal neovascularization
Bibliographic record
Abstract
PURPOSE: To report the clinical course and multimodal imaging features of acute zonal occult outer retinopathy (AZOOR) complicated by choroidal neovascularization (CNV) treated with anti-vascular endothelial growth factor (VEGF) treatment or photodynamic therapy (PDT). METHODS: Observational case series. Retrospective analysis of patients presenting to different institutions with evidence of AZOOR and neovascular lesions. Diagnosis of AZOOR was made on the basis of clinical presentation and multimodal imaging. All patients underwent a comprehensive ophthalmic evaluation and multimodal retinal imaging, including color fundus photos, fundus autofluorescence, fundus fluorescein angiography and spectral-domain optical coherence tomography. RESULTS: Four patients (three males, mean age 53.5 years) were included in the study. Mean follow-up was 5.1 years. Presentation of AZOOR was unilateral in two patients and bilateral in the remainder two patients. One of the patients presenting with unilateral AZOOR developed zonal lesions in the fellow eye during follow-up. All patients presented with unilateral type 2 (subretinal) CNV. Three patients underwent intravitreal anti-VEGF injections and one patient underwent a single PDT. Multimodal retinal imaging showed zonal or multizonal progression during treatment. After treatment, visual acuity and CNV stabilization was observed in all patients. CONCLUSIONS: The presence of CNV expands the clinical spectrum of AZOOR. CNV complicating AZOOR may be effectively treated with intravitreal injections of anti-VEGF, despite progression of the zonal lesions. Further studies are required to define the role of treatment in the progression of the zonal lesions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".