Pattern Recognition Analysis of Age-Related Retinal Ganglion Cell Signatures in the Human Eye.

ABSTRACT:

Purpose

To characterize macular ganglion cell layer (GCL) changes with age and provide a framework to assess changes in ocular disease. This study used data clustering to analyze macular GCL patterns from optical coherence tomography (OCT) in a large cohort of subjects without ocular disease.

Methods

Single eyes of 201 patients evaluated at the Centre for Eye Health (Sydney, Australia) were retrospectively enrolled (age range, 20-85); 8 × 8 grid locations obtained from Spectralis OCT macular scans were analyzed with unsupervised classification into statistically separable classes sharing common GCL thickness and change with age. The resulting classes and gridwise data were fitted with linear and segmented linear regression curves. Additionally, normalized data were analyzed

SUBMITTER: Yoshioka N 

PROVIDER: S-EPMC5482244 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature