Phenotypic expressions of the optic disc in primary open-angle glaucoma.

Background: Which phenotypes are we able to recognize in the optic nerve of patients with primary open angle glaucoma?

Methods: Retrospective interventional case series. 885 eyes from 885 patients at an outpatient tertiary care centre who met specified criteria for POAG were included. Disc photographs were classified by three glaucoma specialists into the following phenotypes according to their predominant characteristics: (1) concentric rim thinning, (2) focal rim thinning, (3) acquired pit of the optic nerve (APON), (4) tilted, (5) extensive peripapillary atrophy (PPA), and (6) broad rim thinning.

A Neural Network for Automated Image Quality Assessment of Optic Disc Photographs.

This study describes the development of a convolutional neural network (CNN) for automated assessment of optic disc photograph quality. Using a code-free deep learning platform, a total of 2377 optic disc photographs were used to develop a deep CNN capable of determining optic disc photograph quality. Of these, 1002 were good-quality images, 609 were acceptable-quality, and 766 were poor-quality images.

The Trajectory of Glaucoma Progression in 2-Dimensional Structural-Functional Space.

Purpose: To present a method that allows visualization of functional and structural change in 2-dimensional space.

Design: Retrospective, longitudinal, observational study.

Participants: Patients from the Stein Eye Institute, UCLA from 1993 through 2017.