Capturing the transition from intermediate to neovascular AMD: Longitudinal changes in choroidal volume and choroidal vascularity index
Bibliographic record
Abstract
BACKGROUND: To perform a three-dimensional assessment of the choroid, including choroidal volume and choroidal vascularity index (CVI), during the transition from intermediate to neovascular age-related macular degeneration (AMD), and following anti-VEGF therapy. METHODS: A total of 42 participants (42 eyes) with intermediate AMD at baseline who developed neovascular AMD within 3 months were included in the analysis. Optical coherence tomography (OCT) scans at follow-up visits (after transition to neovascular AMD and 12 months after the initiation of anti-VEGF therapy) were compared with values at the latest visit with evidence of intermediate AMD to quantify longitudinal choroidal changes. Enhanced depth imaging (EDI) OCT scans were analyzed to obtain the following metrics: (i) choroidal volume, (ii) choroidal stromal volume, (iii) choroidal vascular volume, and (iv) CVI. RESULTS: At baseline, the mean (median; IQR) choroidal volume (i.e., including both the stromal and vascular components) was 0.156 mm³ (0.149; 0.065), increasing to 0.163 mm³ (0.148; 0.068) at the follow-up when treatment-naïve exudative MNV was first detected (p = 0.013). After 12 months of anti-VEGF therapy, it returned to near-baseline levels at 0.156 mm³ (0.146; 0.065; p = 0.457). Similarly, the choroidal stromal and choroidal volumes increased at MNV detection but returned to baseline after treatment. Conversely, no alterations in CVI were observed between the baseline and follow-up visits. CONCLUSION: The transition from intermediate to exudative neovascular AMD is associated with a significant increase in choroidal volume, affecting both stromal and luminal components. After anti-VEGF treatment, these changes regress, returning to baseline levels.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".