The incidence and treatment of diabetic macular edema at the University Eye-Clinic Graz for a period of 2 years

2013 ◽  
Vol 27 (5) ◽  
pp. 234-238
Author(s):  
Monja Michelitsch ◽  
Vanessa Gasser-Steiner ◽  
Peter Gasser-Steiner
2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Roberta Farci ◽  
Alexandre Sellam ◽  
Florence Coscas ◽  
Gabriel J. Coscas ◽  
Giacomo Diaz ◽  
...  

Purpose. To compare and evaluate images of macular cysts with different degrees of reflectivity (from gray to black signal) as observed in B scan spectral domain OCT (SDOCT) and EnFace OCT with decorrelation signal obtained with OCT-angiography (OCTA) in eyes with cystoid macular edema (CME) secondary to diabetic retinopathy (DR) and retinal vein occlusion (RVO). Methods. Images from 3033 patients affected by CME secondary to diabetes or RVO examined OCTA (Optovue XR Avanti, Optovue, USA) at the University Eye Clinic of Créteil, Hôpital Intercommunal, France, and at the University Eye Clinic of Cagliari, “San Giovanni di Dio” Hospital, Italy, were retrospectively examined. The deep capillary plexus OCTA images and the corresponding EnFace OCT images, both acquired with the same automatic segmentation, had been overlapped to compose RGB color images as red and green channels, respectively, using ImageJ software (National Institutes of Health, Bethesda, MD). Afterward, linear regions of interest were traced on the color images to obtain the profiles of OCTA and EnFace gray values. Number of pixels, mean gray value and standard deviation of the area traced in OCT-A, and EnFace image were analyzed and statistically correlated. Data were exported to Excel to create the plots. Results. 94 patients with DME and 27 patients with RVO showed intraretinal macular cystoid spaces with similar homogeneous, gray-looking content; 73 patients with DME and 113 patients with RVO showed macular cystoid spaces with homogeneous, black-looking content, as observed at SD-OCT, EnFace and OCTA scans. Interestingly, the limits of macular cystoid spaces were clearly detectable with OCTA. The analysis of red and green profiles demonstrated a clearly visible overlap between average OCTA and EnFace signal observed around cystoid spaces that could be attributed to a relationship between the dynamic vascularization and the structural density of the tissue. Conclusions. This is the first investigation that characterizes and correlates OCTA and EnFace signals on images of macular cystoid spaces in DR and RVO. The low intensity OCTA signals observed inside cystoid spaces raise a relevant question about their nature, as to whether they are due to the presence of corpusculated material pouring out from bloodocular-barrier or they should be considered OCTA artifacts.


2017 ◽  
Vol 28 (3) ◽  
pp. 341-343 ◽  
Author(s):  
Claudio Furino ◽  
Nicola Recchimurzo ◽  
Francesco Boscia ◽  
Giovanni Alessio

Purpose: To study if cauterization of the scleroconjuctival wound secondary to intravitreal dexamethasone implant in vitrectomized eyes is effective to avoid scleral leakage and hypotony. Methods: A total of 35 vitrectomized eyes of 35 consecutive patients with macular edema who underwent a single intravitreal dexamethasone implant injection in the operating room at the Eye Clinic of the University of Bari, Italy, from 2013 to 2017 were retrospectively reviewed. At the end of the injection, transconjuctival/scleral bipolar cauterization was applied at the injection site and the presence or absence of leakage or hypotony was studied. Results: At the end of the procedure, no patient showed fluid leakage from the cauterized scleroconjuctival wound. No ocular hypotony of other ophthalmic complications were observed at 1 hour and 1 day from injection and intraocular pressure did not change significantly from baseline at 1 hour and 1 day after injection. Conclusions: Cauterization of the scleral wound after intravitreal dexamethasone implant injection in vitrectomized eyes is safe and effective to avoid scleral leakage with secondary hypotony, obtaining a watertight wound closure.


Author(s):  
M.Y. Guro ◽  
◽  
Y.Y. Khzardzhan ◽  
V.N. Potapova ◽  
A.S. Balalin ◽  
...  

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