Detecting glaucoma using automated pupillography.

ABSTRACT:

Objective

To evaluate the ability of a binocular automated pupillograph to discriminate healthy subjects from those with glaucoma.

Design

Cross-sectional observational study.

Participants

Both eyes of 116 subjects, including 66 patients with glaucoma in at least 1 eye and 50 healthy subjects from the Diagnostic Innovations in Glaucoma Study. Eyes were classified as glaucomatous by repeatable abnormal standard automated perimetry (SAP) or progressive glaucomatous changes on stereophotographs.

Methods

All subjects underwent automated pupillography using the RAPDx pupillograph (Konan Medical USA, Inc., Irvine, CA).

Main outcome measures

Receiver operating characteristic (ROC) curves were constructed to assess the diagnostic ability of pupil response paramet

SUBMITTER: Tatham AJ 

PROVIDER: S-EPMC4047189 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature