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Author Spotlight: Overcoming Anti-VEGF Resistance Through Advanced Vascular Morphology Assessment in Choroidal Neovascularization
Published on: August 11, 2023
Early prediction of macular neovascularization phenotypes and prognostic evolution
Serena Fragiotta1, Mariacristina Parravano2,3, Eliana Costanzo4
1Ophthalmology Unit, Department NESMOS, S. Andrea Hospital, University of Rome La Sapienza, Rome, 00189, Italy.
Subfoveal choroidal thickness predicts type 2 macular neovascularization (MNV), while age predicts type 3 MNV. Understanding these predictors aids in managing MNV phenotypes and preventing vision loss.
Area of Science:
- Ophthalmology
- Retinal Diseases
- Age-Related Macular Degeneration (AMD)
Background:
- Macular neovascularization (MNV) is a sight-threatening complication of age-related macular degeneration (AMD).
- Identifying predictors of MNV phenotypes and outcomes is crucial for patient management.
- Understanding the heterogeneity of MNV is essential for developing targeted therapies.
Purpose of the Study:
- To identify baseline predictors of different macular neovascularization (MNV) phenotypes.
- To investigate prognostic outcomes, including visual acuity changes, macular atrophy (MA), and fibrosis.
- To establish predictive models for MNV subtypes and their progression.
Main Methods:
- Retrospective observational cohort study of 102 eyes from 97 patients with intermediate AMD converting to MNV.
- Analysis of baseline features: age, drusen, reticular pseudodrusen (RPD), subfoveal choroidal thickness (SFCT), and central retinal thickness (CRT).
- Development of predictive models using Cox regression and generalized linear models.
Main Results:
- Type 1 MNV occurred in 68.6%, type 2 in 15.7%, and type 3 in 15.7% of eyes.
- SFCT predicted type 2 MNV (thicker choroid predisposed); age predicted type 3 MNV.
- Type 2 MNV had the highest fibrosis rate (71.4%). Age and best-corrected visual acuity (BCVA) predicted vision loss; drusen showed a protective effect.
- Baseline SFCT reduced the risk of outer retinal atrophy.
Conclusions:
- SFCT is a key indicator for type 2 MNV, and aging is a primary predictor for type 3 MNV.
- These findings can enhance early identification and personalized management of MNV phenotypes.
- Optimizing treatment strategies can mitigate complications like fibrosis and atrophy, improving visual outcomes.
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