Vitreomacular Interface in Retinal Diseases

2017 ◽  
pp. 42-50
Author(s):  
Elad Moisseiev ◽  
Joseph Moisseiev

The introduction of the optic coherence tomography in ophthalmology has been enabled us to understand the relationship between vitreomacular interface pathologies and concurrent retinal diseases. It is known that vitreomacular adhesion (VMA) and traction (VMT) develops as a result of an incomplete posterior vitreous detachment. VMA/VMT usually coincidence with age-related macular degeneration, diabetic macular edema, and retinal vascular occlusions. Some studies suggested that the complete posterior vitreous detachment is protective against these kinds of retinal diseases. It is proclaimed that VMA/VMT may have a role in the etiology and progression of these retinal diseases. And also, in the majority of the studies, it is proposed that VMA/VMT may interfere with the treatment and even worsen the result of the anti-vascular endothelial growth factor (Anti-VEGF) therapy which is used within the treatment regime of these retinal diseases. It is obvious that further studies are needed to clarify the cause-result relationship and the effectiveness of the treatment for the concurrent retinal diseases.


The vitreous is a tissue that has important functions in various physiological processes in the eye. The vitreoretinal interface is an important anatomic site in the pathophysiology of various vitreomaculopathies. It has been understood that abnormal posterior vitreous detachment plays an important role in a variety of retinal diseases such as macular holes, macular wrinkles, and retinal detachment, as well as in promoting a number of comorbidities such as diabetic retinopathy, retinal vein occlusions. Understanding the biochemistry, embryology, and anatomy of vitreous will contribute to a better understanding of these diseases and the development of new treatment methods.


Author(s):  
M.A. Kovalevskaya ◽  
◽  
O.A. Pererva ◽  

Vitreomacular interface is an important part of the diagnosis from retinopathy of prematurity (ROP) to retinal diseases in adults. It is required to develop a method for macula localization to determine 3 stable points for photographic measurements of a 3D eye model. Purpose. To minimize the risk of mistakes in the diagnosis and choice of treatment for ROP and diabetic angioretinopathy (DARP) by improving the quality and analysis of modeled wide-field images on the Key to Diagnosis I and II platforms. Material and methods. 1278 RetCam and fundus images of 402 patients. 3 clinical groups: 1 – ROP 272 (544 eyes): 1A – I stage 152(304 eyes), 1B – II stage 45 (90 eyes), 1C – III stage 8 (12 eyes), 1D – posterior aggressive ROP 7 (14 eyes), 1E-retinal immaturity 60 (120 eyes); 2 – DARP 120 (240 eyes): 2A – non-proliferative 13 (17 eyes), 2B – preproliferative 47 (55 eyes), 2C – proliferative 27 (33 eyes), 2D – terminal 33 (37 eyes), 3 – control 10 (20 eyes). A standard clinical examination, analysis of modeled wide-field images, localization of the macula and traction index of the macular region (Tm) were performed. Results. Platform modules have been developed for automatic wide-field images modeling and macular localization, which is a reference point for assessing the extent of pathological changes. In ROP there was significant negative correlation of the Tm value with a stage: 1А – 0,8±0,03, 1B – 0,75±0,04, 1C – 0,74±0,13, 1D – 0,99±0,01, 1E – 0,91±0,09. For groups 2A – 2B, there was no correlation between Tm and the DARP severity. Conclusion. Tm reflects the severity of traction processes at the periphery of the retina and can be used as a marker in case of diagnostic defects in ROP. The localization of the macula determines the stable points for automatic morphometry. Key words: retinopathy of prematurity, pediatric retinal camera RetCam-Shuttle, telemedicine, diabetic angioretinopathy, vitreomacular interface.


2020 ◽  
Vol 48 (8) ◽  
pp. 1085-1101 ◽  
Author(s):  
Lan‐Fang Sun ◽  
Xue‐Jiao Chen ◽  
Zi‐Bing Jin

Author(s):  
Ying‐Xiu Dai ◽  
Ying‐Hsuan Tai ◽  
Din‐Dar Lee ◽  
Yun‐Ting Chang ◽  
Tzeng‐Ji Chen ◽  
...  

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