NEW PROPOSAL FOR THE PATHOPHYSIOLOGY OF TYPE 3 NEOVASCULARIZATION AS BASED ON MULTIMODAL IMAGING FINDINGS
Bibliographic record
Abstract
PURPOSE: To investigate the imaging characteristics of early Type 3 neovascularization and propose a new pathophysiologic sequence for early disease. METHODS: Patients were evaluated with a comprehensive ophthalmologic examination to include fundus photography, optical coherence tomography, optical coherence tomography angiography, fluorescein angiography, and volume-rendered optical coherence tomography angiography. Relevant literature was also reviewed. RESULTS: There were 10 eyes of 9 patients who had a mean age of 87 (range 79-93) years and 7 were women. The patients were seen to have distributed areas of cystoid macular edema, not necessarily contiguous with areas of fluorescein or optical coherence tomography angiographic evidence of neovascularization, which colocalized with each other. Areas of hemorrhage were not necessarily contiguous with observed neovascularization. In some patients, massive amounts of edema were imaged, although the associated neovascular invasion was small and did not reach deeper portions of the retina. These findings were readily responsive to intravitreal injections of anti-vascular endothelial growth factor (VEGF) medication. Review of published literature showed conflicting pathophysiologic proposals, which did not abide with contemporaneous imaging findings. CONCLUSION: Type 3 neovascularization likely grows in response to increased cytokine levels, particularly VEGF, in a permissive environment. Elevated levels of VEGF have been shown to cause hemorrhage, edema, and telangiectasis in the macula, suggesting some of the manifestations of Type 3 neovascularization are related to increased tissue VEGF levels and not necessarily to the neovascularization alone. A proposal based on imaging and histopathologic findings and known physiologic effects of VEGF is presented.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".