TYPE 4 MACULAR NEOVASCULARIZATION
Bibliographic record
Abstract
PURPOSE: To describe the clinical and multimodal imaging features of a novel form of macular neovascularization (MNV), designated Type 4 MNV, defined by mixed Type 1 and Type 2 neovascularization (NV), extensive intraretinal anastomotic NV, and central posterior hyaloid fibrosis. METHODS: This multicenter retrospective observational case series included patients with neovascular age-related macular degeneration exhibiting both Type 1 and 2 MNV and an overlying anastomotic intraretinal NV network. This was confirmed with optical coherence tomography (OCT) and OCT angiography (OCTA). Demographics, baseline visual acuity (VA), and OCT imaging biomarkers including the hyperreflective oblique band sign, central posterior hyaloid fibrosis, epiretinal membrane, and OCTA NV subtype were assessed. RESULTS: Eleven eyes from 11 patients (mean age: 76.9 years; 36.4% female) met inclusion criteria. Baseline VA was logMAR 1.56 ± 0.45 (≈20/630) and 90.9% of subjects presented with severe visual loss. All eyes showed the hyperreflective oblique band sign. Central posterior hyaloid fibrosis was observed in 81.8% (9/11 subjects). Epiretinal membrane with radial traction was present in 81.8%. OCT angiography illustrated mixed Type 1 and 2 MNV with a prominent overlying intraretinal anastomotic network extending into the preretinal space. CONCLUSION: Type 4 MNV represents a distinct age-related macular degeneration phenotype with aggressive anatomical features including mixed Type 1 and 2 MNV, inner retinal and preretinal proliferation and anastomosis and retinal disorganization. The visual prognosis is invariably poor with recalcitrance to anti-vascular endothelial growth factor therapy. The recognition of this signature NV lesion subtype further refines the MNV classification system and can affect therapeutic strategies for neovascular age-related macular degeneration.
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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) | 0.003 | 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".