Abstract
Purpose :
Purpose: to evaluate the 3D retinal images of macular pseudo-holes (MPH) using the ReV Analyzer software product.
Methods :
Methods: a total of 34 patients with macular pseudo-hole (MPH) were included in the study. OCT images obtained with a Cirrus HD 5000 (Zeiss, Meditec, Germany) were exported and analyzed with the ReV Analyzer software product. The user has to draw the area to outline using a semi-automatic tool that moves along edges by only clicking a few points on the corresponding edge. Three-dimensional visualization of MPH, intraretinal cysts and ellipsoid were performed. Volume and diameters of MPH and cysts were analyzed. At the same time, the thickness and structure of internal limiting membrane (ILM), the external limiting membrane (ELM), the distance between ELM and myoid, the distance between ELM and the retinal pigmented epithelium (RPE) and distance between the myoid and RPE were measured. Data were then exported to an Excel sheet and statistical analysis was performed by means of Student t Test.
Results :
Results: all the 34 patients with MPH showed intraretinal macular cystoid spaces with different size but similar shape. 11 patients showed an epiretinal membrane at stage 2 and 23 patients had an epiretinal membrane at stage 3. Mean MPH diameter was 113 µm, mean MPH volume was 107 µm3, mean macular cysts volume was 89 µm3, mean macular cysts mean diameter was 74 µm, mean thickness of ILM and ELM were 17 µm and 14 µm respectively, mean distance between ELM and myoid was 32 µm, mean distance between ELM and RPE was 93 µm and the distance between myoid and PRE was 75 µm. Interestingly, the limits of macular cystoid spaces were clearly detectable with REVAnalyzer software. The analysis of the profiles and the volumes with REVAnalyzer software demonstrated a clearly visible overlap between the average OCT measurements (p=0.34).
Conclusions :
Conclusions: this is the first study of MPH using the REVAnalyzer software product. 3D OCT imaging lets monitor with accuracy the MPH evolution over time, gives more complete and useful information in case of surgery, and gives very accurate images of ellipsoid region, which may be useful to predict the visual recovery after surgery.
This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.