Case Report: Retinal nerve fiber layer and ganglion cell thinning on spectral domain optical coherence tomography following multiple strokes
Bibliographic record
Abstract
A 62-year-old Caucasian male presented for a routine exam with a history of a significant stroke suffered 5 years prior resulting in temporary aphasia and persistent visual field loss. At presentation, best correctable acuities were 20/20+ OU through mild hyperopic astigmatic correction. Visual field testing with frequency doubling technology revealed an incongruous left superior quandrantanopia. Anterior segments demonstrated mild bilateral mixed blepharitis but were otherwise unremarkable. Dilated fundus examination with spectral domain optical coherence tomography revealed moderate disc cupping and marked, symmetric inferior and temporal RNFL thinning, as well as diffuse bilateral ganglion cell thinning. This case demonstrates how OCT can be used as an objective test to detect retrograde neve fiber and ganglion cell loss secondary to post-chiasmal pathology.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 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".