Deep Learning Optical Coherence Tomography (OCT) and OCT Angiography (OCTA) in NVC

Federico II University

Status: Completed

Conditions: Macular Degeneration Choroidal Neovascularization

Treatments: Diagnostic Test: Diagnostic test: using artificial intelligence to evaluate the changes OCT and OCTA parameter

Study type: Observational

Funder types: Other

Identifiers

NCT05969418

05809850

Details and patient eligibility

About

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.

Full 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.

Enrollment: 50 patients

Sex: All

Ages: 50 to 90 years old

Volunteers: Accepts Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria: 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

Exclusion Criteria:• age younger than 50 years

• previous retinal surgery and congenital eye diseases
• errors of refraction
• lens opacities
• low-quality OCT and OCTA images

Trial design

50 participants in 2 patient groups

Patients with neovascular macular degeneration

Treatment:

Diagnostic Test: Diagnostic test: using artificial intelligence to evaluate the changes OCT and OCTA parameter

healty patients matched age and sex without any ocular disease

Treatment:

Diagnostic Test: Diagnostic test: using artificial intelligence to evaluate the changes OCT and OCTA parameter