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Optic disc area frequency distribution in a large sample of retinographic images.
| Content Provider | Europe PMC |
|---|---|
| Author | Gonzalez-Hernandez, Marta Gonzalez-Hernandez, Daniel Perez-Barbudo, Daniel Gonzalez de la Rosa, Manuel |
| Copyright Year | 2022 |
| Abstract | ObjectiveTo describe a new method to estimate the frequency distribution of optic nerve disc area, using digital retinographic images.Methods and analysisWe 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.ResultsThe 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.ConclusionBy 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. |
| Related Links | https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC9214362&blobtype=pdf |
| Journal | BMJ Open Ophthalmology [BMJ Open Ophthalmol] |
| Volume Number | 7 |
| DOI | 10.1136/bmjophth-2022-000972 |
| PubMed Central reference number | PMC9214362 |
| Issue Number | 1 |
| PubMed reference number | 36161846 |
| e-ISSN | 23973269 |
| Language | English |
| Publisher | BMJ Publishing Group |
| Publisher Date | 2022-06-01 |
| Publisher Place | BMA House, Tavistock Square, London, WC1H 9JR |
| Access Restriction | Open |
| Rights License | This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. |
| Subject Keyword | optic nerve glaucoma anatomy imaging |
| Content Type | Text |
| Resource Type | Article |
| Subject | Ophthalmology |