Computer-based image analysis expands diagnostic parameters for ROP

Image-based grading was more accurate than standard classification in diagnosing retinopathy of prematurity, according to a study presented at the American Ophthalmological Society meeting in Colorado Springs, Colorado.The identification of plus disease, defined as dilation of the veins and tortuosity of the arteries, is the most critical parameter for grading ROP, according to Michael F. Chiang, MD. He discussed a comparison between the International Classification of Retinopathy of Prematurity (ICROP) and computer image analysis in diagnosing the zone, stage and extent of ROP.