The study was performed by the Department of Ophthalmology of the Medical University of Vienna. All research and measurements adhered to the tenets of the Declaration of Helsinki. The study was approved by the local ethics committee, and informed consent was obtained from all participants after a detailed discussion of the nature and possible consequences of the study procedures.
Twenty-six consecutive patients with clinically significant macular edema (CSME) caused by diabetes mellitus who did not undergo previous treatment were enrolled in this cross-sectional study. Inclusion criteria were clinically significant macular edema caused by diabetes mellitus, no previous treatment of the CSME of any kind, no ocular surgery in the past 3 months, and clarity of optical media to enable detailed fundus imaging.
11 After a complete ophthalmologic examination, including best-corrected visual acuity testing (using the ETDRS logarithmic charts from 2 m), slit lamp examination, funduscopy and stereo fundus photography, all patients underwent standardized microperimetry and SD-OCT in accordance with the study protocol.
Mapping of macular function was performed before fundus photography and fundus biomicroscopy using an MP-1 microperimeter. This instrument allows the examiner to conduct automated static perimetry. Furthermore, using a built-in infrared camera, the instrument tracks the patient's eye movements and presents the stimulus exactly at the predefined retinal positions in a controlled setting.
For the present study, the settings used were a homogeneous monochromatic white background illumination of 4 apostilbs (1.27 cd/m
2) and a 3° red cross as fixation target. The Goldmann III size stimulus was presented in random order with the standard 4-2-1 double staircase strategy. The stimulus intensity varied from 0 to 20 dB with 1-dB steps, and the starting intensity was 12 dB (0 dB refers to the strongest signal of 400 apostilbs (127 cd/m
2). Room lighting was dimmed. The fellow eye was firmly patched. For testing, we used a grid pattern consisting of 41 stimuli (12° × 12°) (
Fig. 1), which was automatically centered on the fixation point of the patient. Before testing, 5 minutes were allowed for dark adaptation, and a short training was performed by all patients to familiarize them with the examination. At the end of each examination, a color fundus photograph was taken with the built-in 45° xenon flash fundus camera of the MP-1. With two landmark points, the instrument creates an overlay image indicating the examination points on the color fundus image.
After MP testing a 512 × 128-pixel raster scan (128 horizontal scans with 512 pixel resolution) was performed with SD-OCT (Cirrus; Zeiss Meditec, Dublin, CA.). With special software (Research Browser 3.0; Zeiss Meditec), color fundus photography was imported, together with the overlaid microperimetric examination points into the OCT software. Using the software's internal image algorithms, the imported image was aligned to substitute the OCT infrared fundus image. The precision of alignment was confirmed by checking five fundus landmark points on the SD-OCT scans (
Fig. 2). To correct for possible registration errors, a ±1 scan deviation (46.9 μm) in the
y-axis and ±50 μm in the
x-axis was accepted. If one of the checkpoints was not within the accepted range on the fundus registration compared with the OCT image, further adjustments were made to correct the positioning. After a perfect alignment was achieved, each microperimetry examination point was identified on the OCT scans with the use of the
x- and
y-axis slides (
Fig. 2.). At each of the 1066 microperimetry examination locations, the following morphologic changes were evaluated on the OCT images by two readers masked for anonymity (GGD, MR) of the Vienna Reading Center: diffuse outer nuclear layer (ONL) swelling without cyst formation, ONL cysts, inner nuclear layer (INL) cysts, serous retinal detachment (SRD), and presence of hyperreflective hard exudates with extinction of the scan signal beneath. ONL cyst grading was further divided into three subgroups, depending on the largest diameter of the intraretinal cysts: small (<110 μm), medium (110 to <220 μm), and giant (≥220 μm) cysts. In case of disagreement between the two readers, a consensus reading was performed.
Statistical analysis was performed using a commercial software package (SPSS Inc., version 16.0; SPSS, Chicago, IL). The correlation of OCT characteristics with retinal sensitivity was analyzed using a general linear regression model with fixed factors, covariables, and patient as random factors. To examine the correlation between retinal sensitivity and visual acuity or duration of disease, Pearson's and Spearman's correlations, respectively, were used.