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[On correct clinical and pathogenetic OCT-based classification of vitreomacular interface pathologies]
S A Kovalev1, Yu A Ivanishko1, V V Miroshnikov1
1ZAO InterYUNA, Rostov-on-Don, Russia.
Vestnik Oftalmologii
|May 12, 2025
Summary
A new classification for vitreomacular interface (VMI) pathology based on optical coherence tomography (OCT) and pathogenesis is proposed. This system categorizes epiretinal membranes (ERM) and vitreomacular traction (VMT) stages, aiding communication and treatment decisions.
Area of Science:
- Ophthalmology
- Retinal Imaging
- Pathogenesis
Background:
- The lack of a standardized classification for vitreomacular interface (VMI) pathology hinders effective professional communication and treatment planning.
- Current understanding of VMI pathologies is fragmented, necessitating a unified approach.
Purpose of the Study:
- To introduce a novel, prognostically significant clinical and pathogenetic classification of surgical VMI pathologies.
- To establish a classification system based on optical coherence tomography (OCT) findings.
Main Methods:
- A comprehensive review of published literature on VMI pathologies.
- Analysis of the authors' own clinical observations and OCT data.
- Development of a pathogenetic framework for VMI classification.
Main Results:
- Proposed classification begins with vitreomacular adhesion, detailing stages of epiretinal membrane (ERM) formation and contraction patterns (e.g., macular pseudohole, foveoschisis).
- Vitreomacular traction (VMT) is classified into four stages, with potential outcomes including asymptomatic resolution, lamellar macular holes, or full-thickness macular holes (FTMH).
- The classification integrates posterior vitreous detachment (PVD) and its role in ERM and VMT development.
Conclusions:
- The proposed OCT-based classification provides a comprehensive framework for primary surgical VMI pathologies.
- It utilizes modern pathogenetic concepts and clear OCT criteria for distinct nosological entities.
- This scheme standardizes research, improves communication, and streamlines clinical decision-making for VMI disorders.

