TY - JOUR T1 - Optic disc area frequency distribution in a large sample of retinographic images JF - BMJ Open Ophthalmology JO - BMJ Open Ophth DO - 10.1136/bmjophth-2022-000972 VL - 7 IS - 1 SP - e000972 AU - Marta Gonzalez-Hernandez AU - Daniel Gonzalez-Hernandez AU - Daniel Perez-Barbudo AU - Manuel Gonzalez de la Rosa Y1 - 2022/06/01 UR - http://bmjophth.bmj.com/content/7/1/e000972.abstract N2 - Objective To describe a new method to estimate the frequency distribution of optic nerve disc area, using digital retinographic images.Methods and analysis We analysed 492 023 fundus images obtained with seven fundus cameras, mainly in Caucasian subjects. They were grouped by resolution and zoom. They were automatically segmented by identifying the inner edge of the Elschnig scleral ring. For this purpose, a neural network trained by deep learning previously described was used. The number of pixels contained within the segmentation and their frequency distribution were calculated. The results of each camera, using different number of images, were compared with the global results using the Kolmogorov-Smirnov test to confront frequency distributions.Results The frequency distribution was non-Gaussian, more limited in small sizes than in large ones. If the median is assigned a theoretical value of 1.95 mm2, the 1th, 5th, 25th, 50th, 75th, 95th and 99th percentiles would correspond to 1.29, 1.46, 1.73, 1.95, 2.20, 2.64 and 3.03 mm2 in all the dataset. The overall differences were significant for the smaller series, but for each percentile their mean value was only 0.01 mm2 and the maximum 0.10 mm2, so they can be considered similar for practical purposes in all cameras.Conclusion By automatically segmenting the edges of the optic nerve and observing the frequency distribution of the number of pixels it delimits, it is possible to estimate the frequency distribution of the disc area in the population as a whole and that of each individual case.All data relevant to the study are included in the article or uploaded as supplementary information. https://cloud.insoft.es/s/5w6kdqK9xbEYADZ. ER -