Characterization of ultra-widefield angiographic vascular features in diabetic retinopathy with automated severity classification

摘要: PurposeTo determine the association between diabetic retinopathy (DR) severity and quantitative retinal vascular features.DesignRetrospective image analysis study.ParticipantsEyes with DR and eyes with no posterior segment disease (normal eyes) that had undergone ultra-widefield fluorescein angiography (UWFA) with associated color fundus photography. Exclusion criteria were any previous laser photocoagulation, low image quality, intravitreal or periocular pharmacotherapy within 6 months of imaging, and any other significant retinal disease including posterior uveitis, retinal vein occlusion, and choroidal neovascularization.MethodsThe centered early mid-phase UWFA frame that captured the maximum vessel area was selected using automated custom software for each eye. Panretinal and zonal vascular features were extracted using a machine learning algorithm. Eyes with DR were graded for DR …