Article Text

Download PDFPDF

On improving the use of OCT imaging for detecting glaucomatous damage
  1. Donald C Hood1,2,
  2. Ali S Raza1,3
  1. 1Department of Psychology, Columbia University, New York, New York, USA
  2. 2Department of Ophthalmology, Columbia University, New York, New York, USA
  3. 3Department of Neurobiology and Behavior, Columbia University, New York, New York, USA
  1. Correspondence to Professor Donald C Hood, Department of Psychology, Columbia University, 406 Schermerhorn Hall, 1190 Amsterdam Avenue, MC 5501, New York, NY 10027, USA; dch3{at}columbia.edu

Abstract

Aims To describe two approaches for improving the detection of glaucomatous damage seen with optical coherence tomography (OCT).

Methods The two approaches described were: one, a visual analysis of the high-quality OCT circle scans and two, a comparison of local visual field sensitivity loss to local OCT retinal ganglion cell plus inner plexiform (RGC+) and retinal nerve fibre layer (RNFL) thinning. OCT images were obtained from glaucoma patients and suspects using a spectral domain OCT machine and commercially available scanning protocols. A high-quality peripapillary circle scan (average of 50), a three-dimensional (3D) scan of the optic disc, and a 3D scan of the macula were obtained. RGC+ and RNFL thickness and probability plots were generated from the 3D scans.

Results A close visual analysis of a high-quality circle scan can help avoid both false positive and false negative errors. Similarly, to avoid these errors, the location of abnormal visual field points should be compared to regions of abnormal RGC+ and RNFL thickness.

Conclusions To improve the sensitivity and specificity of OCT imaging, high-quality images should be visually scrutinised and topographical information from visual fields and OCT scans combined.

  • Glaucoma
  • Imaging
  • Optic Nerve
  • Psychophysics

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/

View Full Text

Statistics from Altmetric.com

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.