Abstract
Purpose :
Anterior segment optical coherence tomography (AS-OCT) is widely used to image anterior segments of the eye, such as cornea, anterior chamber, angle, and filtering bleb after glaucoma surgery. However, it is difficult to obtain a clear image of the whole crystalline lens using conventional AS-OCT due to narrow imaging depth. A newly developed AS-OCT (SS-2000, Tomey) has a larger imaging depth, allowing an entire image of anterior segment from anterior surface of the cornea to posterior surface of the crystalline lens to be simultaneously obtained. In this study, we examined patients with cataract using SS-2000 and Scheimpflug camera (EAS-1000, NIDEK), and compared their images of the crystalline lens.
Methods :
Seventy-nine eyes of 41 patients (15 men and 26 women) with cataract ranging in age from 47 to 89 years (71.0 ± 8.2, mean ± standard deviation) were examined. Various types of cataract, such as nuclear, cortical, posterior subcapsular, and mature cataract were included. Tomographic images of crystalline lens were obtained using SS-2000 and EAS-1000 under pupillary dilatation. Two systems were compared in terms of the image quality of lens opacity and detection rate of the posterior capsule.
Results :
The measurement results of lens nucleus intensity was generally lower with SS-2000 than with EAS-1000. Cortical and posterior subscapular opacities appeared as high intensity areas both with SS-2000 and EAS-1000, but there were less halation and backward shadow seen in SS-2000 images especially in eyes with calcification of the anterior capsule. The detection rate of posterior capsule was significantly higher with SS-2000 (77 eyes, 97.5%) than with EAS-1000 (21 eyes, 28.4%) (P < 0.05).
Conclusions :
The SS-2000 AS-OCT system was very useful for obtaining an entire image of the crystalline lens, and appeared more beneficial in the evaluation of cortical and posterior subcapsular opacities than the EAS-1000 camera system. However, the intensity of nuclear opacities tended to be lower with SS-2000 than with EAS-1000.
This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.