The Use of Spectral-Domain Optical Coherence Tomography to Detect Glaucoma Progression

Ricardo Y Abe 1, 2, Carolina P.B Gracitelli 1, 3, Felipe A Medeiros*, 1
1 Hamilton Glaucoma Center and Department of Ophthalmology, University of California, San Diego, La Jolla, California, USA
2 Department of Ophthalmology, University of Campinas, Campinas, Brazil
3 Department of Ophthalmology, Federal University of São Paulo, São Paulo, Brazil

Article Metrics

CrossRef Citations:
Total Statistics:

Full-Text HTML Views: 3691
Abstract HTML Views: 1598
PDF Downloads: 688
Total Views/Downloads: 5977
Unique Statistics:

Full-Text HTML Views: 1787
Abstract HTML Views: 827
PDF Downloads: 489
Total Views/Downloads: 3103

Creative Commons License
© Abe et al.; Licensee Bentham Open.

open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

* Address correspondence to this author at the Hamilton Glaucoma Center University of California, San Diego, 9500 Gilman Drive La Jolla, CA 92093-0946, USA; Tel: 858-822-4592; Fax: 858-822-0615; E-mail:


Detection of progression and measurement of rates of change is at the core of glaucoma management, and the use of Spectral Domain Optical Coherence Tomography (SD-OCT) has significantly improved our ability to evaluate change in the disease. In this review, we critically assess the existing literature on the use of SD-OCT for detecting glaucoma progression and estimating rates of change. We discuss aspects related to the reproducibility of measurements, their accuracy to detect longitudinal change over time, and the effect of aging on the ability to detect progression. In addition, we discuss recent studies evaluating the use of combined structure and function approaches to improve detection of glaucoma progression.

Keywords: Glaucoma, progression, OCT, spectral domain optical coherence tomography.