Retrospective multicentre study on functional vision score calculation using automated perimeter

Abstract

Background/aims This study aimed to develop a predictive equation for Functional Field Score (FFS), a component of the Functional Vision Score (FVS) derived from binocular Esterman test results via automated perimetry (AP) and to evaluate agreement with Goldmann perimetry (GP)-based FFS. Methods This retrospective multicentre study included 240 patients (mean age: 61±17.5 years) who underwent both GP and AP testing at four Japanese institutions from January 2019 to October 2023. Binocular Esterman visual field testing was conducted using the Humphrey Field Analyser. After conducting a correlation analysis using Pearson’s correlation coefficient, we derived a predictive equation for GP-based FFS from AP-based FFS using linear regression analysis. Bland-Altman analysis assessed agreement between predicted AP-FFS and GP-FFS. Results A strong correlation was observed between FFS based on GP and the number of points seen in the binocular Esterman test (r=0.77; 95% CI 0.71 to 0.81). The predictive equation for FFS was: FFS=(the number of points seen)×0.41+37.0. Agreement between predicted and GP-based FFS was high, with a mean difference of 0.12 (95% CI −21.63 to 21.88). Conclusions AP-based FFS provides a reliable alternative to GP-based FVS, enabling effective assessment of visual impairment in environments lacking GP accessibility. This approach may enhance the practical evaluation of functional vision, particularly in clinical or research settings where AP is more widely available. No data are available.