Automated Diagnosis and Grading of Diabetic Retinopathy Using Optical Coherence Tomography.

ABSTRACT:

Purpose

We determine the feasibility and accuracy of a computer-assisted diagnostic (CAD) system to diagnose and grade nonproliferative diabetic retinopathy (NPDR) from optical coherence tomography (OCT) images.

Methods

A cross-sectional, single-center study was done of type II diabetics who presented for routine screening and/or monitoring exams. Inclusion criteria were age 18 or older, diagnosis of diabetes mellitus type II, and clear media allowing for OCT imaging. Exclusion criteria were inability to image the macula, posterior staphylomas, proliferative diabetic retinopathy, and concurrent retinovascular disease. All patients underwent a full dilated eye exam and spectral-domain OCT of a 6 × 6 mm area of the macula in both eyes. These images then were analyzed by a nove

SUBMITTER: Sandhu HS 

PROVIDER: S-EPMC6018370 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature