Currently, there is no universally accepted classification of vitreomacular interface (VMI) pathology, which complicates professional communication and the choice of treatment strategies.
PURPOSE
This article presents our perspective on a feasible and prognostically significant clinical and pathogenetic OCT-based classification of surgical VMI pathologies.
MATERIAL AND METHODS
In order to develop a classification approach to categorize the most common changes in VMI based on pathogenesis we summarized published literature and our own observations.
RESULTS
Based on pathogenesis, classification begins with vitreomacular adhesion. The formation of an epiretinal membrane (ERM) can result from the development of posterior vitreous detachment (PVD) along the path of vitreoschisis. The severity of retinal changes and the presence of ectopic internal foveal layers distinguish four stages of ERM. ERM can exhibit various contraction patterns. If proliferative tissue contracts with centripetal tension on the retina, it may result in ERM with a macular pseudohole. Centrifugal contraction may may lead to the formation of intraretinal cystic spaces, resulting in ERM with foveoschisis. If PVD occurs in the presence of strong local vitreomacular fixation, vitreomacular traction (VMT) may develop, which is also classified into four stages. VMT can resolve either asymptomatically or with the formation of a retinal tissue defect, leading to the development of a full-thickness macular hole (FTMH). In cases where tractional forces during PVD create a retinal defect without causing an FTMH, secondary processes may be initiated, leading to an OCT pattern of lamellar macular hole, which in rare instances may progress to FTMH.
CONCLUSION
The proposed classification scheme encompasses the full spectrum of primary surgical VMI pathologies, is based on modern pathogenetic concepts, and relies on clear OCT-defined criteria for each nosological entity. The scheme relies on specific morphological criteria and delineates the stages of pathological processes, facilitating research standardization and streamlining treatment decision-making.
