THE ROLE OF OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IN DOME-SHAPED MACULOPATHY
Bibliographic record
Abstract
PURPOSE: The aim of this study was to demonstrate the role of optical coherence tomography angiography in the management of dome-shaped maculopathy. METHODS: This was a retrospective case review. RESULTS: A 52-year-old woman was referred to the authors' retinal service for potential bilateral choroidal neovascular membrane (CNVM) and blurry vision bilaterally. Initial spectacle-corrected visual acuity was 20/30-2 in the right eye and 20/30 + 2 in the left eye. Dome-shaped maculopathy was diagnosed on optical coherence tomography. In both eyes, optical coherence tomography B-scan passing through the fovea showed shallow irregular retinal pigment epithelium elevation suspicious of occult (type 1) CNVM. The outer retinal and choriocapillaris angiograms showed a zone of nonexudative CNVM in the right eye and exudative CNVM in the left eye. Given the persistent subretinal fluid with CNVM in the left eye, the authors elected to perform intravitreal injections of ranibizumab 0.5 mg on a treat and extend regimen. On the most recent follow-up, the best-corrected visual acuity improved to 20/20 in the left eye with no persisting subretinal fluid. CONCLUSION: The authors present a case where assessing disease progression and the development of CNVM and evaluating the efficiency of therapies were realized through the application of novel optical coherence tomography angiography technology. This diagnostic tool may be used to guide clinicians in their management of dome-shaped maculopathy, as demonstrated through the authors' experience. Optical coherence tomography angiography can also make it possible to visualize nonexudative CNVM lesions that may be missed on traditional imaging assessments.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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".