MULTIMODAL IMAGING OF A PRESUMED EMBOLIC CILIORETINAL ARTERY OCCLUSION
Bibliographic record
Abstract
PURPOSE: To describe clinical features including multimodal imaging in a rare case of presumed embolic cilioretinal artery occlusion with long-term follow-up examination. METHODS: A 61-year-old man presented after noticing an acute-onset central scotoma in the left eye during coronary arteriography. Fundus color photography, red-free imaging, near-infrared reflectance, spectral domain optical coherence tomography (OCT), fluorescein angiography, and swept-source OCT angiography were performed. RESULTS: Color and red-free fundus imaging both showed retinal whitening in the territory corresponding to a cilioretinal artery in the left eye. Consistent with an ischemic event, the near-infrared reflectance showed a hyporeflective area in the same location. Spectral domain OCT showed hyperreflectivity and generalized thickening of the inner nuclear layer, ganglion cell layer, and retinal nerve fiber layer. Seven years later, color, red-free, and near-infrared reflectance imaging appeared normal, but the spectral domain OCT showed thinning of all retinal layers in the affected area. Furthermore, swept-source OCT angiography demonstrated markedly reduced capillary flow signal in the superficial and deep capillary plexuses, corresponding to a persistent scotoma described by the patient. CONCLUSION: This case report illustrates hallmark features of a rare presumed embolic cilioretinal artery occlusion and its long-term manifestations with thorough historical and multimodal imaging data. When standard fundus imaging with color, red-free, and near-infrared reflectance appears normal years after a retinal vascular insult, OCT and OCT angiography can corroborate a patient's persistent visual deficit and provide clarity to the diagnosis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".