2022
DOI: 10.2147/opth.s367490
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Active Learning to Characterize the Full Contrast Sensitivity Function in Cataracts

Abstract: Background To characterize contrast sensitivity function (CSF) in cataractous and pseudophakic eyes compared to healthy control eyes using a novel quantitative CSF test with active learning algorithms. Methods This is a prospective observational study at an academic medical center. CSF was measured in eyes with visually significant cataract, at least 2+ nuclear sclerosis (NS) and visual acuity (VA) ≥ 20/50, in pseudophakic eyes and in healthy controls with no more than … Show more

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Cited by 11 publications
(3 citation statements)
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“…The mean (SD) Pelli-Robson logCS value of 1.80 [0.09] including subjects of all ages (mean 49 [18] years) agrees with that (1.79 [0.11]) reported by Haymes et al 36 in normal subjects of similar mean age (48 [17] years) using the same scoring method. 23 The mean logCS in our younger group (<50 years, mean 34 [9] years) was 1.89 and 1.83 for SpotChecks and Pelli-Robson, respectively, which are essentially the same as those obtained previously with CamBlobs2 (a previous iteration of SpotChecks) and Pelli-Robson in young adults.…”
Section: Age (Years)supporting
confidence: 85%
“…The mean (SD) Pelli-Robson logCS value of 1.80 [0.09] including subjects of all ages (mean 49 [18] years) agrees with that (1.79 [0.11]) reported by Haymes et al 36 in normal subjects of similar mean age (48 [17] years) using the same scoring method. 23 The mean logCS in our younger group (<50 years, mean 34 [9] years) was 1.89 and 1.83 for SpotChecks and Pelli-Robson, respectively, which are essentially the same as those obtained previously with CamBlobs2 (a previous iteration of SpotChecks) and Pelli-Robson in young adults.…”
Section: Age (Years)supporting
confidence: 85%
“…The qCSF method uses Bayesian adaptive testing to estimate the four parameters defining the participant’s CSF in a time-efficient manner [24‒26]. The test estimates a CSF curve after 25 CSF trials, generating the area under the log contrast sensitivity function curve (AULCSF), integrated from 1 to 18 cycles per degree [24‒26].…”
Section: Methodsmentioning
confidence: 99%
“…CSFs were obtained with the participant's best refraction using the qCSF method (Manifold Platform, Adaptive Sensory Technology, Lübeck, Germany). The qCSF method uses Bayesian adaptive testing to estimate the four parameters defining the participant's CSF in a time-efficient manner [24][25][26]. The test estimates a CSF curve after 25 CSF trials, generating the area under the log contrast sensitivity function curve (AULCSF), integrated from 1 to 18 cycles per degree [24][25][26].…”
Section: Contrast Sensitivitymentioning
confidence: 99%