Retrospective multicentre study on functional vision score calculation using automated perimeter

Area of Science:

• Ophthalmology
• Visual Science
• Medical Technology

Background:

• Functional Field Score (FFS) is crucial for assessing visual impairment.
• Goldmann perimetry (GP) is a traditional method for FFS evaluation.
• Automated perimetry (AP) offers a potential alternative for visual field testing.

Purpose of the Study:

• Develop a predictive equation for Functional Field Score (FFS) using automated perimetry (AP).
• Evaluate the agreement between AP-derived FFS and Goldmann perimetry (GP)-based FFS.
• Establish AP as a viable alternative for functional vision assessment.

Main Methods:

• Retrospective multicentre study of 240 patients.
• Binocular Esterman visual field testing using Humphrey Field Analyser (AP).
• Correlation and linear regression analysis to derive predictive equation; Bland-Altman analysis for agreement.

Main Results:

• Strong correlation (r=0.77) between GP-based FFS and points seen in AP.
• Predictive equation derived: FFS = (points seen) × 0.41 + 37.0.
• High agreement between predicted AP-FFS and GP-FFS (mean difference 0.12).

Conclusions:

• AP-based FFS is a reliable alternative to GP-based FVS.
• Facilitates effective visual impairment assessment, particularly where GP is inaccessible.
• Enhances practical functional vision evaluation in clinical and research settings.