Evaluating the Performance of qVFM in Mapping the Visual Field of Simulated Observers With Eye Diseases.

Pengjing Xu,Zhong-Lin Lu,Deyue Yu,Luis Andres Lesmes

doi:10.3389/fnins.2021.596616

Abstract

PurposeRecently, we developed a novel active learning framework, qVFM, to map visual functions in the visual field. The method has been implemented and validated in measuring light sensitivity and contrast sensitivity visual field maps (VFMs) of normal observers. In this study, we evaluated the performance of the qVFM method in mapping the light sensitivity VFM of simulated patients with peripheral scotoma, glaucoma, age-related macular degeneration (AMD), and cataract.MethodsFor each simulated patient, we sampled 100 locations (60 × 60 degrees) of the visual field and compared the performance of the qVFM method with a procedure that tests each location independently (the qYN method) in a cued Yes/No task. Two different switch modules, the distribution sampling method (DSM) and parameter delivering method (PDM), were implemented in the qVFM method. Simulated runs of 1,200 trials were used to compare the accuracy and precision of the qVFM-DSM, qVFM-PDM and qYN methods.ResultsThe qVFM method with both switch modules can provide accurate, precise, and efficient assessments of the light sensitivity VFM for the simulated patients, with the qVFM-PDM method better at detecting VFM deficits in the simulated glaucoma.ConclusionsThe qVFM method can be used to characterize residual vision of simulated ophthalmic patients. The study sets the stage for further investigation with real patients and potential translation of the method into clinical practice.

Highlights

To improve qVFM in Simulated Eye Disease qVFM in Simulated Eye Disease the precision of light sensitivity VFM in automated perimetry and enable assessments of other visual functions, we recently developed a novel active learning framework, the qVFM method, that combines a global module for preliminary assessment of the shape of the VFM and a local module for assessing visual function at individual visual field locations (Xu et al, 2018, 2019a,b, 2020)
The focus of the current study is to evaluate the potential of the qVFM method in mapping the light sensitivity VFM of simulated patients with peripheral scotoma, glaucoma, age-related macular degeneration (AMD), and cataract
Developed in Xu et al (2019a,b, 2020), the qVFM method consists of three major modules: (1) The global module, which measures the shape of the VFM modeled as a tilted elliptic paraboloid function (TEPF) with five parameters (Eq 1)

Summary

Introduction

Standard automated perimetry (SAP) (Goldmann, 1945a,b; Harms, 1952; Aulhorn and Harms, 1972; Lachenmayr et al, 1994; Rogers and Landers, 2005; Milner and Goodale, 2006; Strasburger et al, 2011) is used to assess the light sensitivity visual field map (VFM) in routine clinical eye exams to detect and manage a number of eye diseases that cause visual field deficits, including glaucoma (Caprioli, 1991; Smith et al, 1996; Ng et al, 2012), peripheral scotoma caused by a number of qVFM in Simulated Eye Disease √. Degree/ dB), EPZ (unit: dB), SLA (unit: dB/degree), SLB (unit: dB/degree), and λ. The dB values were calculated as −10 × log10[luminance (in asb)/10000]

Methods

Results

Conclusion