Optical coherence tomography may be used to predict visual acuity in patients with macular edema

• Published in: Investigative ophthalmology & visual science Vol. 52; no. 5; pp. 2741 - 2748
• Main Authors: Pelosini, Lucia, Hull, Christopher C, Boyce, James F, McHugh, Dominic, Stanford, Miles R, Marshall, John
• Format: Journal Article
• Language: English
• Published: United States 25-04-2011
• Subjects: Adult; Aged; Aged, 80 and over; Diabetic Retinopathy - diagnosis; Female; Fluorescein Angiography; Humans; Macular Edema - diagnosis; Male; Middle Aged; Prospective Studies; Retina - pathology; Retinal Neurons - pathology; Tomography, Optical Coherence; Uveitis - diagnosis; Visual Acuity - physiology
• ISSN: 1552-5783; 1552-5783
• DOI: 10.1167/iovs.09-4493

To determine whether the volume of retinal tissue passing between the inner and outer retina in macular edema could be used as an indicator of visual acuity.
Diabetic and uveitic patients with cystoid macular edema (81 subjects, 129 eyes) were recruited. Best corrected logMAR visual acuity and spectral optical coherence tomography (OCT/SLO; OTI, Toronto, ONT, Canada) were performed in all patients. Coronal OCT scans obtained from a cross section of the retina between the plexiform layers were analyzed with a grid of five concentric radii (500, 1000, 1500, 2000, and 2500 μm centered on the fovea). The images were analyzed to determine the amount of retinal tissue present within each ring. A linear regression model was developed to determine the relationship between tissue integrity and logMAR visual acuity.
A linear relationship between tissue integrity and VA was demonstrated. The volume of retinal tissue between the plexiform layers in rings 1 and 2 (up to 1000 μm from the foveal center) predicted 80% of visual acuity. By contrast, central macular thickness within the central 1000 μm predicted only 14% of visual acuity.
This study showed that the cross-sectional area of retinal tissue between the plexiform layers in cystoid macular edema, as imaged by OCT, is the best indicator of visual function at baseline. Further prospective treatment trials are needed to investigate this parameter as a predictor of visual outcome after intervention.