Anterior chamber particles as predictor for intraocular pressure-lowering effect of selective laser trabeculoplasty

Session Details

Session Title: Glaucoma Management

Session Date/Time: Monday 16/09/2019 | 16:30-18:00

Paper Time: 17:06

Venue: Free Paper Forum: Podium 4

First Author: : D.Maltsev RUSSIA

Co Author(s): :    A. Kulikov   M. Burnasheva   A. Kazak                       

Abstract Details

Purpose:

To study changes in anterior chamber particles graded by anterior segment optical coherence tomography (OCT) as a predictor for intraocular pressure (IOP) lowering effect of selective laser trabeculoplasty (SLT).

Setting:

This prospective interventional study was conducted in Military Medical Academy (St. Petersburg).

Methods:

Twelve patients with primary open angle glaucoma were undergone SLT treatment. Anterior segment OCT (4×4 mm cube) was performed before SLT as well as 15 minutes, 1 day, and 1 week after SLT. A standardized algorithm was developed to count anterior chamber particles on cross-sectional OCT images using ImageJ. Pearson correlation coefficient was calculated between the change in anterior chamber particles count and IOP lowering effect at 1-month after SLT.

Results:

The median of anterior chamber particles count before SLT was 0.3 and increased statistically significant to 12.8 at 15 minutes after SLT. At 1 day and 1 week after SLT the median of anterior chamber particles count was 0.6 and 0.0, respectively (p>0.05, compared to baseline). The median of IOP lowering effect at 1 month was - 4.7 mm Hg (range from -12.4 to 2.3 mm Hg). Statistically significant correlation was found between changes in anterior chamber particles count 15 minutes and 1 day after SLT and IOP lowering effect at 1-month, r=0.73 (p=0.04) and r=0.79 (p=0.03), respectively.

Conclusions:

Change in anterior chamber particles count graded using anterior segment OCT reflects the IOP lowering effect of SLT at least at 1 month after the procedure. Evaluation of anterior chamber particles could be used as an early predictor for SLT efficacy.

Financial Disclosure:

None