Assessing Surface Shapes of the Optic Nerve Head and Peripapillary Retinal Nerve Fiber Layer in Glaucoma with Artificial Intelligence.

ABSTRACT:

Purpose

To assess 3-dimensional surface shape patterns of the optic nerve head (ONH) and peripapillary retinal nerve fiber layer (RNFL) in glaucoma with unsupervised artificial intelligence (AI).

Design

Retrospective study.

Participants

Patients with OCT scans obtained between 2016 and 2020 from Massachusetts Eye and Ear.

Methods

The first reliable Cirrus (Carl Zeiss Meditec, Inc) ONH OCT scans from each eye were selected. The ONH and RNFL surface shape was represented by the vertical positions of the inner limiting membrane (ILM) relative to the lowest ILM vertical position in each eye. Nonnegative matrix factorization was applied to determine the ONH and RNFL surface shape patterns, which then were correlated with OCT and visual field (VF) loss parameters and

SUBMITTER: Saini C 

PROVIDER: S-EPMC9562352 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature