Paracentral Acute Middle Maculopathy in Migraines with Aura
Bibliographic record
Abstract
Paracentral acute middle maculopathy (PAMM) has recently been described following episodes of migraine. In this report, we present a case of PAMM and describe the role of en face optical coherence tomography (OCT). A 75-year-old woman presented with subjective vision loss over a 2-week period in the right eye. She was known for migraines with aura that presented with progressive spreading of positive and negative visual phenomena which usually resolved in under an hour. Her recent migraine episode was "atypical," as it lasted 3 days. She also experienced a monocular central scotoma with "black spots and jagged, zig-zag edges." The positive auras resolved spontaneously, whereas the central scotoma persisted. Spectral domain OCT showed an area of perifoveal hyperreflectivity from the inner plexiform to the outer plexiform layers consistent with PAMM. The mid-retina en face OCT and OCT angiography demonstrated an ovoid focal patch of hyperreflectivity with flow interruption, characteristic of globular PAMM. We diagnosed her with migraines with aura and presumed retinal vasospasm, complicated by retinal ischemia in the form of globular PAMM. Acute retinal ischemia, which may require urgent neurovascular workup and giant cell arteritis evaluation, must be considered in patients with migraines alongside persistent visual changes. Diagnosing PAMM requires a high level of suspicion since it can present without significant changes in visual acuity, visual fields, and fundus photographs. With the inclusion of en face OCT in the clinicians' diagnostic armamentarium, the slightest signs of retinal ischemic changes, such as PAMM, become evident.
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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 | 0.001 |
| 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) | 0.002 | 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".