Choroidal Circulation in 8- to 30-Year-Old Chinese, Measured by SS-OCT/OCTA: Relations to Age, Axial Length, and Choroidal Thickness
Bibliographic record
Abstract
Purpose: The purpose of this study was to evaluate and explore the determinants of choroidal vascularity and choriocapillaris perfusion in a Chinese population aged 8 to 30 years old. Methods: Three hundred eighty eyes from 380 subjects aged 8 to 30 years were included in this cross-sectional study. Submacular choroidal thickness (ChT), total choroidal area (TCA), luminal area (LA), stromal area (SA), choroidal vascularity index (CVI), and choriocapillaris flow deficit (CcFD) were estimated using images obtained from optical coherence tomography (OCT). Results: In this population, the mean ChT was 260.4 ± 63.3 µm, TCA was 1.56 ± 0.38 mm2, LA was 0.94 ± 0.25 mm2, and SA was 0.62 ± 0.15 mm2. The mean CVI was 60.25 ± 3.21% and CcFD was 11.95 ± 1.98%. Multivariable analyses showed that higher CVI and LA was associated with older age, thicker ChT, and shorter AL; and lower CcFD was associated with shorter AL. However, the associations were not uniformly rectilinear between CcFD and age. Specifically, CcFD was positively associated with age in subjects ≤19 years old and negatively associated with age in subjects >19 years old. Conclusions: Development of the choroidal medium- and large-sized vascular layers and choriocapillaris was different across patients aged 8 to 30 years old. Greater axial length was associated with attenuated choroidal circulation. Choroidal thickness correlated well with choroidal vascularity, but not with choriocapillaris perfusion. Further comprehensive and longitudinal assessment of choroidal vasculature and choriocapillaris perfusion will help greatly to understand the physiological and pathological mechanisms responsible for myopia.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 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".