Measurement of Normative Foveal Avascular Zone Parameters in Healthy Adults Using Optical Coherence Tomography Angiography
Bibliographic record
Abstract
Background and Objective: The purpose of this study was to quantify the geometric dimension of the foveal avascular zone (FAZ) area and its index measurement of morphology as a circle (acircularity index) in healthy participants according to age and sex, using optical coherence tomography angiography (OCTA). Study Design/Materials and Method: This is a cross-sectional descriptive study conducted at LV Prasad Eye Institute, India. Written informed consent was obtained from all participants before the study. Deep range imaging-optical coherence tomography (DRI-OCT; Topcon) was performed on right eyes of all participants in this study. The OCTA scans were analyzed and processed; FAZ dimensions and the acircularity index were calculated for both superficial retinal capillary plexus (SCP) and deep retinal capillary plexus (DCP). Results: A total of 88 normal right eyes from 88 participants were included (48 males, 40 females; mean 42 ± 13 years of age). Mean FAZ area for SCP and DCP was 3.37 ± 1.28 mm 2 and 2.31 ± 1.12 mm 2 , respectively. Mean acircularity index for SCP and DCP was 1.76 ± 1.58 and 1.60 ± 0.90, respectively. In the SCP, male sex was correlated with lower FAZ values; however, there was no correlation with age or refractive error. For the DCP, male sex and increasing age correlated with lower FAZ values, but there was no correlation with refractive error. Foveal avascular zone areas decreased 0.0225 mm 2 per year in the DCP. The acircularity index of both the SCP and DCP was not correlated with sex, age, or refractive error. Conclusions: Male sex and increasing age were correlated with lower FAZ values in the DCP, while only male sex was correlated with lower FAZ values in the SCP. There was no correlation between sex, age, or refractive error with the acircularity index for both the SCP and DCP.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".