| Literature DB >> 33828038 |
Janelle Tong, Jessie Huang, Vincent Khou, Jodi Martin1, Michael Kalloniatis, Angelica Ly.
Abstract
SIGNIFICANCE: This article summarizes the evidence for a higher prevalence of binocular vision dysfunctions in individuals with vision impairment. Assessment for and identification of binocular vision dysfunctions can detect individuals experiencing difficulties in activities including reading, object placement tasks, and mobility.Comprehensive vision assessment in low vision populations is necessary to identify the extent of remaining vision and to enable directed rehabilitation efforts. In patients with vision impairment, little attention is typically paid to assessments of binocular vision, including ocular vergence, stereopsis, and binocular summation characteristics. In addition, binocular measurements of threshold automated visual fields are not routinely performed in clinical practice, leading to an incomplete understanding of individuals' binocular visual field and may affect rehabilitation outcomes.First, this review summarizes the prevalence of dysfunctions in ocular vergence, stereopsis, and binocular summation characteristics across a variety of ocular pathologies causing vision impairment. Second, this review examines the links between clinical measurements of binocular visual functions and outcome measures including quality of life and performance in functional tasks. There is an increased prevalence of dysfunctions in ocular alignment, stereopsis, and binocular summation across low vision cohorts compared with those with normal vision. The identification of binocular vision dysfunctions during routine low vision assessments is especially important in patients experiencing difficulties in activities of daily living, including but not limited to reading, object placement tasks, and mobility. However, further research is required to determine whether addressing the identified deficits in binocular vision in low vision rehabilitative efforts directly impacts patient outcomes.Entities:
Mesh:
Year: 2021 PMID: 33828038 PMCID: PMC8051935 DOI: 10.1097/OPX.0000000000001672
Source DB: PubMed Journal: Optom Vis Sci ISSN: 1040-5488 Impact factor: 2.106
Summaries of nonreview articles investigating prevalence of vergence dysfunctions in low vision populations
| Study | Study design | Cohort | Tests used | Outcomes |
|---|---|---|---|---|
| Rundström and Eperjesi (1995)[ | Cross-sectional study | n = 30 | Cover test with prism | n = 22 (73%) with symptoms consistent with binocular vision anomalies |
| Goldstein and Clahane (1966)[ | Retrospective case-control study | n = 14 with RP and n = 23 normals | Cover test with prism, prism fusional amplitudes | Greater prevalence of intermittent or constant strabismus in RP participants (n = 9 [64%] vs. n = 3 [13%]) and larger deviation in RP at distance (3.60 vs. 0.96Δ) and near (16.90 vs. 9.22Δ) |
| Miyata et al. (2018)[ | Cross-sectional study | n = 119 with RP | Cover test with prism | Significant correlation ( |
| Migliorini et al. (2015)[ | Cross-sectional study | n = 23 with RP | Cover test with prism | n = 12 (52%) with heterophoria, n = 8 (35%) with intermittent or constant strabismus; direction not stated |
| Tarita-Nistor et al. (2012)[ | Case-control study | n = 12 with AMD and n = 16 normals | Eye tracker with deviation measured during binocular viewing | 75% of participants with AMD and 84% of normals showed deviation (heterophoria) >1Δ |
| Skrbek (2013)[ | Cross-sectional study | n = 12 with AMD | MKR methods with polarization | n = 2 with esotropia and hypertropia, n = 1 with exotropia and hypertropia, n = 2 no strabismus observed |
Articles are sorted by order of appearance within the text. Δ = prism diopters; MKR = Mess- und Korrektionsmethodik nach Haase; n = number of participants; r = correlation coefficient.
Summary of nonreview articles investigating stereopsis in low vision populations
| Study | Study design | Cohort | Tests used | Outcomes |
|---|---|---|---|---|
| Vingolo et al. (2020)[ | Case-control study | n = 26 with RP and n = 25 normals | Titmus stereotest, Lang stereotest, TNO stereotest | Significant reduction in stereoacuity across all stereotests in RP patients compared with controls (69.3 to 391.39 vs. 15.97 to 1150″) |
| Goldstein et al. (1966)[ | Retrospective case-control study | n = 14 with RP and n = 23 normals | Titmus stereotest (fly and Wirt rings) | Stereopsis absent or reduced in RP patients compared with control, even in patients with visual acuity of at least 6/15 in each eye |
| Lin et al. (2018)[ | Cross-sectional study | n = 150 with glaucoma | Distance Randot stereotest | Only 35 participants (23.3%) demonstrated measurable distance stereoacuity |
| Lakshmanan and George (2013)[ | Cross-sectional study | n = 97 with glaucoma | Titmus stereotest | Significant correlation ( |
| Nelson et al. (2003)[ | Case-control study | n = 47 with glaucoma and n = 19 normals | Frisby stereotest | Poorer stereoacuity correlated with lower GQL-15 summary score |
| Cao and Markowitz (2014)[ | Case series | n = 27 with AMD | Frisby stereotest | Overall Functional Visual Abilities score higher in AMD participants with any level of stereopsis compared with those with no stereopsis (2.25 vs. 1.50) |
| Tabrett and Latham (2011)[ | Cross-sectional study | n = 100 with various ocular pathologies | Frisby stereotest | n = 8 (8%) had measurable depth discrimination, and no correlation observed between presence/absence of depth discrimination and self-reported, vision-related activity limitation |
| Verghese et al. (2016)[ | Case-control study | n = 16 with AMD and n = 9 normals | Randot stereotest, custom laboratory-based stereoacuity test | Significant correlation ( |
| Kotecha et al. (2009)[ | Case-control study | n = 16 with glaucoma and n = 16 normals | Titmus stereotest | Slightly poorer stereoacuity in glaucoma participants compared with normals (55 vs. 40″) |
| Lamoureux et al. (2010)[ | Cross-sectional study | n = 127 with various ocular pathologies | Titmus stereotest | n = 73 did not fall and n = 54 fell within study period |
| Lord and Dayhew (2001)[ | Prospective cohort study | n = 156, n = 45 with various ocular pathologies | Howard-Dolman apparatus, Frisby stereotest | n = 64 fell within study period and n = 32 fell multiple times during study period |
| Ivers et al. (2000)[ | Case-control study | n = 911 with hip fracture and n = 910 normals | Randot stereotest | Increased risk of hip fracture associated with no gross stereopsis (OR, 6.0, vs. stereopsis, 30 to 50″) |
| Chew et al. (2010)[ | Case-control study | n = 108 Participants with low-fragility fractures and n = 108 normals | Frisby stereotest | Increased risk of fracture and falls associated with absence of gross stereopsis, defined as stereoacuity >600″ (OR, 3.603 and 2.112, respectively, vs. stereopsis, 55 to 600″) |
Articles are sorted by order of appearance within the text. ‘ = minutes of arc; “ = seconds of arc; GQL-15 = Glaucoma Quality of Life questionnaire; n = number of participants; OR = odds ratio; r = correlation coefficient.
FIGURE 1Simplified schematics depicting required change in object distance to detect change in depth with stereoacuity of 100″ and PD of 64 mm. A, For a typical near working distance of 40 cm, an object of interest (star) would only have to move 0.26 cm for change in depth to be detected. B, Conversely, at a typical working distance for mobility tasks of 150 cm (roughly equivalent to the distance between the eyes and feet), the object of interest would have to move 3.58 cm for a change in depth to be detected, for the same PD. C, With a greater working distance of 300 cm (roughly equivalent to looking across a room), the object of interest would have to move 13.1 cm for a change in depth to be detected. Please note that these numbers would vary depending on PD, stereoacuity, and working distance (see Appendix Table A1, available at http://links.lww.com/OPX/A480 for further information). ″ = seconds of arc; PD = pupillary distance.
Summary of nonreview articles investigating binocular summation and inhibition
| Study | Study design | Cohort | Tests used (parameter) | Outcomes |
|---|---|---|---|---|
| Tarita-Nistor et al. (2006)[ | Case-control study | n = 17 with AMD, n = 38 normals | Multiple tumbling E tests at 12, 32, and 86% contrast (VA) | No significant difference in binocular ratios between groups at 12, 32, and 86 contrast levels |
| Kabanarou and Rubin (2006)[ | Cross-sectional study | n = 22 with AMD | EDTRS chart (distance VA), MNREAD acuity chart (reading speed) | n = 14 (63.6%) demonstrated positive binocular gain and n = 3 (13.6%) demonstrated negative binocular gain in reading speed |
| Tzaridis et al. (2019)[ | Cross-sectional study | n = 68 with macular telangiectasia type 2 | ETDRS chart (distance VA), Radner reading charts (reading acuity and speed) | Greater interocular difference in reading speed correlated with reduced binocular gain in reading speed ( |
| Rubin et al. (2000)[ | Cross-sectional study | n = 2520 older individuals, presence of ocular pathologies not reported | EDTRS chart (distance VA), computerized reading display | With similar VAs between eyes, 38% show binocular summation and 10% show binocular inhibition, whereas, with dissimilar VAs between eyes, 20 to 29% show summation, and 19 to 23% show inhibition |
| Tarita-Nistor et al. (2013)[ | Cross-sectional study | n = 20 with AMD | ETDRS chart (distance VA), MNREAD acuity chart (reading speed) | Maximum reading speed significantly slower for patients with binocular inhibition compared with those with binocular summation or equality (mean, 42, 107, and 111 wpm, respectively) |
| Silvestri et al. (2020)[ | Cross-sectional study | n = 42 with AMD, n = 29 with Stargardt disease | ETDRS chart (distance VA), MNREAD acuity chart (reading speed) | Maximum binocular reading speed significantly slower for patients with binocular inhibition compared with those with binocular summation (mean, 65 vs. 94 wpm, respectively), and borderline slower compared with those with equality (mean, 96 wpm) |
| Faubert and Overbury (2000)[ | Case-control study | n = 49 with AMD, n = 10 normals | Sine gratings (contrast sensitivity) | n = 27 (45%) of AMD participants showed poorer binocular contrast sensitivity than better eye contrast sensitivity, compared with n = 1 (10%) of normals |
| Valberg and Fosse (2002)[ | Case-control study | n = 13 with AMD, n = 10 normals | Sine gratings (contrast sensitivity) | Monocular to binocular ratios of contrast sensitivity are reduced in n = 12 (92%) of AMD participants |
| Gonzalez et al. (2004)[ | Case-control study | n = 17 with AMD, n = 38 normals | Multiple tumbling E tests at low, medium, and high contrast (distance VA) | Similar binocular ratios between AMD and normals |
Articles are sorted by order of appearance within the text. ETDRS = Early Treatment Diabetic Retinopathy Study; n = number of participants; r = correlation coefficient; r2 = coefficient of determination; VA = visual acuity; wpm = words per minute.
Summary of nonreview articles investigating use of binocular visual fields testing, including useful field of view, in low-vision populations
| Study | Study design | Cohort | Tests used | Outcomes |
|---|---|---|---|---|
| Tabrett and Latham (2011)[ | Cross-sectional study | n = 100 with vision impairment | Binocular HFA 30-2 | Overall regression analyses showed that mean binocular thresholds 10 to 30° from fixation was a significant predictor of self-reported vision-related activity limitation in the subcategories of goals, all tasks, mobility, and visual information |
| Tabrett and Latham (2012)[ | Cross-sectional study | n = 100 with vision impairment | Binocular HFA 30-2 | Greater visual field loss as per the binocular 30-2 associated with increased self-reported vision-related activity limitations |
| Nelson-Quigg et al. (2000)[ | Cross-sectional study | n = 111 with glaucoma | Monocular HFA 30-2, binocular HFA 30-2 | IVFs calculated from monocular visual field results using best location and binocular summation were most similar to binocular visual field results, with 95% of predictions within 3 dB of binocular results |
| Crabb et al. (2004)[ | Cross-sectional study | n = 65 with glaucoma | Binocular Esterman, monocular HFA 24-2, UFOV | Substantial agreement between Esterman test scores and IVF sensitivity values using pass/fail criteria ( |
| Crabb and Viswanathan (1998)[ | Cross-sectional study | n = 48 with glaucoma | Binocular Esterman, monocular HFA 24-2 | IVF score (summary score describing number of defects <10 and <20 dB) showed better classification of participants with self-perceived visual difficulty compared with the Esterman Efficiency Score (AUROC, 0.79 vs. 0.70) |
| Chisholm et al. (2008)[ | Cross-sectional study | n = 60 with binocular paracentral scotomas of various origins | Monocular HFA 24-2, binocular Esterman, UFOV | Good agreement between IVF and Esterman fields in pass/fail classification regarding fitness to drive standards ( |
| Xu et al. (2019)[ | Cross-sectional study | n = 250 with glaucoma, n = 31 normal | Monocular HFA 30-2, binocular Esterman | In cases of glaucoma with asymmetric visual field loss, IVF MDs were significantly worse than better eye MDs; however, Esterman scores were more similar to better eye VFIs. |
| Crabb et al. (2005)[ | Cross-sectional study | n = 59 with glaucoma | Binocular Esterman, monocular HFA 24-2 | Substantial agreement between Esterman test scores and IVF sensitivity values ( |
| Bozzani et al. (2012)[ | Cross-sectional study | n = 132 with glaucoma | Monocular HFA 24-2 | Significant correlation between mean IVF sensitivity and VFQ-25 composite score ( |
| Chun et al. (2019)[ | Cross-sectional study | n = 826 with glaucoma | Monocular HFA 24-2 | Significant correlations between mean IVF sensitivities and VFQ-25 composite score ( |
| Subhi et al. (2017)[ | Cross-sectional study | n = 50 with peripheral vision loss | Binocular threshold extending across 120°, binocular suprathreshold (10 dB) extending across 120°, binocular Esterman, monocular HFA 24-2 | Significantly better AUROC for binocular threshold and suprathreshold summary scores compared with IVF MD for self-reported difficulty in walking and bumping into objects and people |
| Musch et al. (2017)[ | Cross-sectional study | n = 607 with glaucoma | Binocular Esterman, monocular HFA 24-2 | Weak to modest correlations between Esterman test scores and binocular MD approximated from monocular visual fields ( |
| Kotecha et al. (2009)[ | Case-control study | n = 16 with glaucoma and n = 16 normals | Titmus stereotest (fly only), Frisby stereotest | Correlation between poorer IVF and delays in initiating reach-and-grasp movement in glaucoma participants ( |
| Murata et al. (2013)[ | Cross-sectional study | n = 164 with glaucoma | Monocular HFA 30-2 | In IVFs across the central 60°, reduced sensitivities across the horizontal meridian corresponded to more difficulty in vision-related activities of daily living, particularly in reading and dining subcategories |
| Yamazaki et al. (2019)[ | Cross-sectional study | n = 172 with advanced glaucoma | Monocular HFA 24-2 and 10-2 | Worse IVF scores in the lower subfields of the 24-2 and 10-2 IVFs associated with poorer total disability index in Rasch analysis–derived person ability index |
| Turano et al. (2004)[ | Cross-sectional study | n = 1504 participants | Monocular HFA single threshold (24 dB) 30-2, modified binocular Esterman without weighting | Greater visual field loss in the central 40° and in the inferior periphery correlated with slower walking speed: 0.8 cm/s for every 6 points missed in the central 40° and 0.6 cm/s for every 2 points missed in the inferior periphery |
| Black et al. (2008)[ | Cross-sectional study | n = 54 with glaucoma | Monocular HFA 24-2 | Significantly increased postural sway with eyes open in participants with poorer IVF MD and increased number of points missed on 120° binocular visual field |
| Kotecha et al. (2012)[ | Case-control study | n = 24 with glaucoma and n = 24 normals | Monocular HFA 24-2 | Lower visual contribution and higher somatosensory contribution to sway in participants with glaucoma |
| Ramulu et al. (2019)[ | Prospective cohort study | n = 225 with glaucoma or glaucoma suspect status | Monocular HFA 24-2 | IVF sensitivity not associated with higher rate of falls per year; however, with 5 dB worsening of IVF sensitivity, there were 33 and 45% higher rates of falls per step at home and away from home, respectively |
| Subhi et al. (2017)[ | Cross-sectional study | n = 52 with peripheral vision loss | Binocular HFA 30-2 and 60-4 | Significant correlations between self-reported mobility subscores and mean thresholds for central visual field (within 30° from fixation) and peripheral visual field (30 to 60° from fixation) ( |
| Fletcher et al. (2012)[ | Cross-sectional study | n = 153 with AMD | California central visual field test, Smith-Kettlewell reading test, MN read chart | Patients with binocular scotoma border within 2.5° of fixation had greater error rates in Smith-Kettlewell reading test compared with patients with no binocular scotoma border near fixation |
| Pardhan et al. (2017)[ | Case-control study | n = 17 with AMD, n = 17 with glaucoma (without low vision) and n = 10 normals | Monocular HFA 30-2 | Significantly longer movement time and reaction time in AMD patients compared with glaucoma and normals |
| Verghese et al. (2016)[ | Case-control study | n = 16 with AMD and n = 9 normals | Optos OCT/SLO | Significant correlation ( |
| Tzaridis et al. (2019)[ | Cross-sectional study | n = 68 with macular telangiectasia type 2 | Radner reading charts (reading acuity and speed), MP1 microperimeter | Binocular gain in reading speed correlated with left eye scotoma size ( |
| Kabanarou et al. (2006)[ | Cross-sectional study | n = 29 with AMD | Infrared eye tracking, SLO | n = 20 demonstrated shift in gaze position from monocular to binocular viewing, with n = 17 demonstrating shift with worse eye monocular viewing only |
| Tarita-Nistor et al. (2015)[ | Cross-sectional study | n = 9 with AMD and n = 5 normals | MP-1 microperimetry, infrared eye tracking | Monocular PRLs estimated with eye tracking yielded mean horizontal error of 0.2° and vertical error of 0.5° compared with PRLs measured with microperimetry |
Articles are sorted by order of appearance within the text. κ = kappa coefficient; AUROC = area under receiver operator curve; EQ-5D = EuroQoL Index Tool; HFA = Humphrey Field Analyzer; HR = hazard ratio; IVF = integrated visual field; MD = mean deviation; n = number of participants; NEI-VFQ = National Eye Institute Visual Function Questionnaire; OCT = optical coherence tomographer; OR = odds ratio; PRL = preferred retinal locus; r = correlation coefficient; r2 = coefficient of determination; SF-6D = SF-36 (36-Item Short Form) using SF-D algorithm; SLO = scanning laser ophthalmoscope; TTO = Time Trade Off; UFOV = Useful Field of View; VA = visual acuity; VAQ = Visual Activities Questionnaire; VFI = visual field index; VFQ-25 = Visual Function Questionnaire.
FIGURE 2Schematic demonstrating locations within the central 60° most important for reading (top left), dining (top right), and walking and going out (bottom left) in patients with glaucoma calculated using the IVF, based on Murata et al.[88] and Yamazaki et al.[89] (shaded in red and blue, respectively). The smallest to largest concentric rings indicate 10, 24, and 30° from fixation, respectively. Note that both studies were conducted in Japan where reading direction may be different, and similar studies with Caucasian populations have not yet been conducted. IVF = integrated visual field.