Acute annular outer retinopathy preceded by invasive ductal breast carcinoma: a case report
Bibliographic record
Abstract
BACKGROUND: Acute annular outer retinopathy (AAOR) is an uncommon disease. To date, there are few documented cases in the literature. Our case report is the first to describe a case of acute annular outer retinopathy in a patient with invasive ductal breast carcinoma. CASE PRESENTATION: The patient presented with photopsias and visual loss approximately 3 weeks prior to a diagnosis of invasive ductal breast carcinoma. We have documented the outer annular white ring seen in the acute phase of this disease and correlate it anatomically with Spectral-domain optical coherence tomography (SD-OCT) imaging. We identified RPE atrophy with nodular hyperreflectivity and loss of ellipsoid layer within the white annular ring with corresponding visual field loss. Fundus autofluorescence correlated with structural alterations seen on SD-OCT and showed both presumed active hyperautofluorescent zones with patchy hypoautofluorescent zones of atrophy and a classic annular hyperautofluorescent border. This case provides additional information about the natural history of this rare entity and its prognosis and varied presentation. CONCLUSIONS: The authors report a single case of acute annular outer retinopathy in a patient with invasive ductal breast carcinoma with the corresponding SD-OCT, fundus autofluorescence and visual field findings, during the acute phase of the disease. These findings provide new insight into the characteristic features, etiology and progression of this rare disease.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".