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Posters

Limits of agreement between 'fast' and 'dense' spectralis optical coherence tomography scans in diabetic macular edema

Poster Details

First Author: S.Degli Esposti UK

Co Author(s):    O. Comyn   P.G. Hykin   P.J. Patel            0   0 0   0 0   0 0   0 0

Abstract Details



Purpose:

To evaluate limits of agreement between automated retinal thickness measurements from “fast” and “dense” Heidelberg Spectralis spectral-domain optical coherence tomography (SD-OCT) scans in subjects affected with diabetic macular oedema (DMO).

Setting:

Moorfields Eye Hospital NHS Foundation Trust, London, UK

Methods:

Fifty eyes of 50 consecutive patients (32 male, 18 female) affected by DMO were included in the study. Patients underwent a visual acuity test and two consecutive scans in a single session using one Heidelberg Spectralis SD-OCT device operated by one or two experienced operators. A “fast macular volume” OCT scan, consisting of a 25-line horizontal raster scan covering 20°x20° centered on the fovea, was acquired followed by a “dense” one (49-line horizontal raster scan, covering the same area). Bland-Altman limits of agreement were calculated for automated retinal thickness measurements in the nine Early Treatment of Diabetic Retinopathy Study (ETDRS) subfields and center point thickness.

Results:

Mean age was 61.7 years (range 30 - 82 years). Mean visual acuity was 67 ETDRS letters (range 47 - 82 letters). Mean central macular thickness was the same with the two different scan setting (476 μm, range 305-820 and 288-812 for the “fast” and the “dense” scan respectively). Mean difference between the two scans in the central subfields was 0.2 μm (95% confidence interval -36.8 μm to 37.2 μm). In the other subfields it ranged from 0 μm to 4 μm. Mean difference in the center point thickness was -3.1 μm. Good limits of agreements were shown in every ETDRS subfield in Bland-Altman plots.

Conclusions:

Retinal thickness measurements in subjects with DMO obtained using Spectralis SD-OCT through a “fast” scan or a “dense” scan show excellent limits of agreement. The results suggest that the “fast” scan may be used instead of the “dense” scan when rapid image acquisition is needed.

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