Combining optical coherence tomography with visual field data to rapidly detect disease progression in glaucoma: a...

Area of Science:

• Ophthalmology
• Medical Imaging
• Statistical Analysis

Background:

• Glaucoma causes progressive optic nerve damage and vision loss, often detected through visual field (VF) testing.
• VF testing variability complicates the accurate identification of glaucoma progression.
• Optical coherence tomography (OCT) offers an alternative method for measuring glaucomatous optic nerve damage.

Purpose of the Study:

• To compare statistical methods combining VF and OCT data against VF-only methods.
• To determine if combined data methods allow for more rapid identification of glaucoma progression.
• To assess if combined data methods can lead to shorter or smaller clinical trials.

Main Methods:

• Evaluated 'hit rate' (sensitivity) and specificity of various statistical methods using UKGTS and RAPID datasets.
• Compared Guided Progression Analysis (GPA) with methods including Analysis with Non-Stationary Weibull Error Regression and Spatial enhancement (ANSWERS), Permutation analyses Of Pointwise Linear Regression (PoPLR), and structure-guided ANSWERS (sANSWERS).
• Utilized time-domain (TD) Stratus OCT™ and Humphrey Field Analyzer for data collection.

Main Results:

• The sANSWERS method, combining VF and OCT, demonstrated a higher hit rate (61.3%) compared to VF-only methods (GPA: 22.2%, PoPLR: 41.6%, ANSWERS: 53.8%).
• sANSWERS identified progression more quickly, with a mean survival time of 69.1 weeks versus 93.6 weeks for GPA.
• While sANSWERS improved progression detection accuracy, it did not significantly increase the statistical significance of treatment effects.

Conclusions:

• The sANSWERS method, integrating VF and OCT data, shows promise for earlier and more accurate glaucoma progression detection.
• Current TD OCT technology has limitations; studies using advanced OCT are recommended.
• Further refinement of statistical methods combining imaging and visual field data is necessary for clinical application.