Evaluating objective and subjective quantitative parameters at the initial visit to predict future glaucomatous...

Area of Science:

• Ophthalmology
• Medical Imaging
• Glaucoma Research

Background:

• Glaucoma is a leading cause of irreversible blindness.
• Early detection and prediction of glaucoma progression are crucial for timely intervention.
• Structural imaging plays a role in assessing glaucoma severity and predicting disease advancement.

Purpose of the Study:

• To evaluate the predictive ability of baseline structural imaging parameters for glaucomatous visual field progression.
• To compare the predictive power of different imaging modalities: stereophotography, OCT, and CSLO.
• To identify specific structural parameters most effective in forecasting visual field decline.

Main Methods:

• 119 eyes with suspected or confirmed glaucoma underwent baseline stereophotography, OCT, and CSLO.
• Follow-up structural and visual field data were collected over a median of 4.0 years.
• Generalized estimating equation models were used to determine odds ratios for progression prediction.

Main Results:

• Fifteen eyes progressed by glaucoma progression analysis, 20 by visual field index, and 10 by both.
• Baseline parameters from stereophotographs, OCT (global, superior, inferior RNFL thickness), and CSLO were significant predictors.
• The superior quadrant retinal nerve fiber layer thickness from OCT emerged as the single best predictor of progression.

Conclusions:

• Baseline structural measurements from stereophotographs, OCT, and CSLO show clinical utility in predicting visual field progression in glaucoma.
• OCT, particularly the superior quadrant RNFL thickness, demonstrates strong potential for forecasting glaucoma development.
• These findings support the integration of advanced imaging techniques into routine glaucoma monitoring.