Presumed Solitary Circumscribed Retinal Astrocytic Proliferation: A Case Report
Bibliographic record
Abstract
Purpose: To report a case of presumed solitary circumscribed retinal astrocytic proliferation (PSCRAP) diagnosed through multimodal imaging. Methods: A single case report documented with multimodal imaging. Results: A 41-year-old asymptomatic female was referred for a second opinion regarding whitish retinal lesions in her left eye, first identified by her local optometrist 8 years prior. Her history included Hashimoto thyroiditis, with no personal or family history of tuberous sclerosis complex or neurofibromatosis. Visual acuity was 20/20 in both eyes. Fundoscopy of the left eye revealed two pearly white avascular retinal masses. Spectral-domain optical coherence tomography (SD-OCT) showed hyperreflective intraretinal masses with optical shadowing. Optical coherence tomography angiography (OCTA) demonstrated a signal void in the retinal vascular plexuses. Fundus autofluorescence showed moderate hyperautofluorescence. The lesions remained stable over 3 months. Conclusions: PSCRAP is a rare, benign retinal tumor. Multimodal imaging, including SD-OCT and OCTA, is essential for accurate diagnosis, showing unique features such as separation from the retinal nerve fiber layer and lack of intrinsic vascularity. Our observation of two lesions raises questions about the solitary nature of this condition. Continued documentation may be necessary to differentiate from simulating lesions that may undergo subsequent growth.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| 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".