Deep Learning Optical Coherence Tomography (OCT) and OCT Angiography (OCTA) in NVC
- Conditions
- Macular Degeneration Choroidal Neovascularization
- Registration Number
- NCT05969418
- Lead Sponsor
- Federico II University
- Brief Summary
To evaluate the activity of neovascular macula degeneretion as assessed by SD-OCTand OCT-A using a split-person study design and deep-learning quantification.
- Detailed Description
Exudative neovascular macular degeneration is the primarily an age-related retinal condition The optical coherence tomography angiography represents a novel and noninvasive diagnostic technique that allows a detailed and quantitative analysis of retinal and choriocapillary vascular features in order to choose the best therapy .
The study evaluates the changes in structural optical coherence tomography and optical coherence tomography angiography features in neovascular macular degeration patients undergoing ANTI-VEGF treatments using artificial intelligence.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 50
age older than 50 years
- diagnosis of neovascular macular degeneration
- absence of previous retinal surgery and congenital eye diseases.
- absence of errors of refraction
- absence of lens opacities
- absence of low-quality OCT and OCTA images
• age younger than 50 years
- previous retinal surgery and congenital eye diseases
- errors of refraction
- lens opacities
- low-quality OCT and OCTA images
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The measurements of retinal and choriocapillary vessel density in patients with macular degeneration complicated by nvc more than sixmonths
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Federico II University
🇮🇹Naples, Italy
Federico II University🇮🇹Naples, Italy