Trials / Completed
CompletedNCT05969418
Deep Learning Optical Coherence Tomography (OCT) and OCT Angiography (OCTA) in NVC
Deep Learning OCT and OCTA Quantification in Neovascular Age Related Macular Degeneration
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 50 (actual)
- Sponsor
- Federico II University · Academic / Other
- Sex
- All
- Age
- 50 Years – 90 Years
- Healthy volunteers
- Accepted
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.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | Diagnostic test: using artificial intelligence to evaluate the changes OCT and OCTA parameter | Diagnostic test: using artificial intelligence to evaluate the changes OCT and OCTA parameter before and after ANTI-VEGF treatment |
Timeline
- Start date
- 2023-07-01
- Primary completion
- 2023-07-20
- Completion
- 2023-12-21
- First posted
- 2023-08-01
- Last updated
- 2024-05-22
Locations
1 site across 1 country: Italy
Source: ClinicalTrials.gov record NCT05969418. Inclusion in this directory is not an endorsement.