CONVERSION OF FOCAL CHOROIDAL EXCAVATION WITH THE ONSET OF CENTRAL SEROUS CHORIORETINOPATHY: REPORT OF 2 CASES AND REVIEW OF THE LITERATURE
Bibliographic record
Abstract
PURPOSE: To describe two cases of focal choroidal excavation (FCE) conversion in patients with central serous chorioretinopathy. METHODS: Case report and literature review of cases of FCE conversion. RESULTS: A 35-year-old asymptomatic pregnant patient was found to have conforming FCE on spectral domain optical coherence tomography of the right eye during hydroxychloroquine screening. Three months later, she presented with decreased vision in the right eye and subretinal fluid in both eyes secondary to central serous chorioretinopathy. Spectral domain optical coherence tomography revealed that her FCE had changed to nonconforming type. A 40-year-old male patient was found to have nonconforming FCE and subretinal fluid in his right eye on spectral domain optical coherence tomography. On follow-up, spectral domain optical coherence tomography demonstrated resolution of subretinal fluid and conversion of nonconforming FCE to conforming type. Literature review showed that most cases of FCE remain stable over time. Conversion from nonconforming FCE to conforming type has been described after photodynamic therapy or anti-vascular endothelial growth factor therapy. Conversion from conforming to nonconforming type has been described in 2 cases that developed subretinal fluid in the setting of acute central serous chorioretinopathy. CONCLUSION: Our cases and literature review suggest that nonconforming FCE is the result of persistent subretinal fluid. Further studies are necessary to determine whether symptomatic nonconforming SRF needs treatment to reduce subretinal fluid.
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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 | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| 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".