Abnormal choroidal flow on optical coherence tomography angiography in central serous chorioretinopathy
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Bibliographic record
Abstract
IMPORTANCE: Analysing choroidal flow in central serous chorioretinopathy (CSC) with novel device. BACKGROUND: To examine the abnormal morphology of choriocapillary flow with optical coherence tomography angiography (OCTA) according to the presence of subretinal fluid (SRF) in CSC. DESIGN: A hospital-based retrospective study. PARTICIPANTS: We analysed OCTA results of 68 eyes (68 patients) diagnosed as CSC with or without SRF (active and resolved CSC, respectively) at the Asan Medical Center. METHODS: We classified OCTA choriocapillary images into three pattern groups: mixed perfusion, hyper-perfusion and normal perfusion. Data analysis included age, follow-up duration, treatment modalities, number of treatments, subfoveal choroidal thickness and SRF height. MAIN OUTCOME MEASURES: The relationship between CSC activity and choriocapillary pattern. RESULTS: Abnormal choroidal flow (mixed and hyper-perfusion) was more frequently found in eyes with active CSC (100%) than resolved CSC (47.5%, P < 0.001). In active CSC eyes, mixed perfusion was predominant (71.4%), while hyper-perfusion was predominant in those with resolved CSC (73.7%). Eyes with recently resolved CSC (SRF absorption present for <2 months) had abnormal choriocapillary flow more often than the remaining eyes with resolved CSC (83.3% vs 32.1%, P = 0.005). Resolved CSC eyes with abnormal choriocapillary flow demonstrated more recurrence than eyes with normal choriocapillary flow (42.1% vs 9.5%, P = 0.017). CONCLUSIONS AND RELEVANCE: The pattern of choriocapillary flow abnormalities on OCTA can indicate CSC disease activity. Because eyes with resolved CSC showing abnormal choroidal flow have a high recurrence rate, they should be carefully followed-up.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it