Jonathan Denniss1,2, Helen C Baggaley2,3, Andrew T Astle2. 1. School of Optometry and Vision Science, Faculty of Life Sciences, University of Bradford, Bradford, United Kingdom. 2. Visual Neuroscience Group, School of Psychology, University of Nottingham, Nottingham, United Kingdom. 3. Optometry Unit, Ophthalmology Department, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
Abstract
Purpose: To investigate how well visual field sensitivity predicts visual acuity at the same locations in macular disease, and to assess whether such predictions may be useful for selecting an optimum area for fixation training. Methods: Visual field sensitivity and acuity were measured at nine locations in the central 10° in 20 people with AMD and stable foveal fixation. A linear mixed model was constructed to predict acuity from sensitivity, taking into account within-subject effects and eccentricity. Cross validation was used to test the ability to predict acuity from sensitivity in a new patient. Simulations tested whether sensitivity can predict nonfoveal regions with greatest acuity in individual patients. Results: Visual field sensitivity (P < 0.0001), eccentricity (P = 0.007), and random effects of subject on eccentricity (P = 0.043) improved the model. For known subjects, 95% of acuity prediction errors (predicted - measured acuity) fell within -0.21 logMAR to +0.18 logMAR (median +0.00 logMAR). For unknown subjects, cross validation gave 95% of acuity prediction errors within -0.35 logMAR to +0.31 logMAR (median -0.01 logMAR). In simulations, the nonfoveal location with greatest predicted acuity had greatest "true" acuity on median 26% of occasions, and median difference in acuity between the location with greatest predicted acuity and the best possible location was +0.14 logMAR (range +0.04 to +0.17). Conclusions: The relationship between sensitivity and acuity in macular disease is not strongly predictive. The location with greatest sensitivity on microperimetry is unlikely to represent the location with the best visual acuity, even if eccentricity is taken into account.
Purpose: To investigate how well visual field sensitivity predicts visual acuity at the same locations in macular disease, and to assess whether such predictions may be useful for selecting an optimum area for fixation training. Methods: Visual field sensitivity and acuity were measured at nine locations in the central 10° in 20 people with AMD and stable foveal fixation. A linear mixed model was constructed to predict acuity from sensitivity, taking into account within-subject effects and eccentricity. Cross validation was used to test the ability to predict acuity from sensitivity in a new patient. Simulations tested whether sensitivity can predict nonfoveal regions with greatest acuity in individual patients. Results: Visual field sensitivity (P < 0.0001), eccentricity (P = 0.007), and random effects of subject on eccentricity (P = 0.043) improved the model. For known subjects, 95% of acuity prediction errors (predicted - measured acuity) fell within -0.21 logMAR to +0.18 logMAR (median +0.00 logMAR). For unknown subjects, cross validation gave 95% of acuity prediction errors within -0.35 logMAR to +0.31 logMAR (median -0.01 logMAR). In simulations, the nonfoveal location with greatest predicted acuity had greatest "true" acuity on median 26% of occasions, and median difference in acuity between the location with greatest predicted acuity and the best possible location was +0.14 logMAR (range +0.04 to +0.17). Conclusions: The relationship between sensitivity and acuity in macular disease is not strongly predictive. The location with greatest sensitivity on microperimetry is unlikely to represent the location with the best visual acuity, even if eccentricity is taken into account.
Authors: Geoffrey K Broadhead; Thomas Hong; John R Grigg; Peter McCluskey; Timothy E Schlub; Kimberly Spooner; Andrew A Chang Journal: Int Ophthalmol Date: 2020-07-14 Impact factor: 2.031
Authors: Katarzyna Michalska-Małecka; Jakub Kałużny; Mariusz Nowak; Poitr Gościniewicz; Anna Matysik-Woźniak; Katarzyna Nowomiejska; Jacek Karpe; Robert Rejdak Journal: Medicine (Baltimore) Date: 2019-11 Impact factor: 1.817