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

Federico II University50 enrolled

Overview

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.

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.

Study Type

OBSERVATIONAL

Enrollment

Conditions

Macular Degeneration Choroidal Neovascularization

Interventions

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

Diagnostic test: using artificial intelligence to evaluate the changes OCT and OCTA parameter before and after ANTI-VEGF treatment

Eligibility

Sex: ALLMin age: 50 YearsMax age: 90 YearsHealthy volunteers:

Medical Language ↔ Plain English

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

Locations (1)

Federico II University

Naples, Italy

Outcomes

Primary Outcomes

The measurements of retinal and choriocapillary vessel density in patients with macular degeneration complicated by nvc

Time frame: more than sixmonths

Data from ClinicalTrials.gov

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