Macular integrity assessment to determine the association between macular microstructure and functional parameters in diabetic macular edema

Wang, Jianwei; Chuanhong, Jie; Tao, Yong-Jian; Meng, Na; Hu, Yuan-Chun; Wu, Zheng-Zheng; Cai, Wenju; Gong, Xi-Mei

doi:10.18240/ijo.2018.07.18

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…A series of past studies has shown that changes in the retinal or its sublayer's thickness in diseased eyes were associated with visual acuity and function 9-14 , and macular thickness has thus been proposed as a potential surrogate for visual function. Previous studies also reported poorer vision in cases who presented with signs of disrupted retinal layers such as the retinal inner layers, external limiting membrane or the ellipsoid zone [15][16][17] . The association between macular thickness and self-reported visual functioning has only been evaluated in diseased eyes such as age-related macular degeneration 18 .…”

Section: Optical Coherence Tomography (Oct) Is a Non-invasive Imaging...mentioning

confidence: 87%

Association between Macular Thickness Profiles and Visual Function in Healthy Eyes: The Singapore Epidemiology of Eye Diseases (SEED) Study

Poh

Tham

Chee

et al. 2020

Sci Rep

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This study aimed to evaluate the association between optical coherence tomography (OCT)-measured retinal layer thickness parameters with clinical and patient-centred visual outcomes in healthy eyes. Participants aged 40 and above were recruited from the Singapore Epidemiology of Eye Diseases Study, a multi-ethnic population-based study. Average macular, ganglion cell-inner plexiform layer (GCIPL), and outer retinal thickness parameters were obtained using the Cirrus High Definition-OCT. Measurements of best-corrected visual acuity (BCVA) and 11-item visual functioning questionnaire (VF-11) were performed. Associations between macular thickness parameters, with BCVA and Rasch-transformed VF-11 scores (in logits) were assessed using multivariable linear regression models with generalized estimating equations, adjusted for relevant confounders. 4,540 subjects (7,744 eyes) with a mean age of 58.8 ± 8.6 years were included. The mean BCVA (LogMAR) was 0.10 ± 0.11 and mean VF-11 score was 5.20 ± 1.29. In multivariable regression analysis, thicker macula (per 20 µm; β = −0.009) and GCIPL (per 20 µm; β = −0.031) were associated with better BCVA (all p ≤ 0.001), while thicker macula (per 20 µm; β = 0.04) and GCIPL (per 20 µm, β = 0.05) were significantly associated with higher VF-11 scores (all p < 0.05). In conclusion, among healthy Asian eyes, thicker macula and GCIPL were associated with better vision and self-reported visual functioning. These findings provide further understanding on the potential influence of macular thickness on visual function.

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Section: Optical Coherence Tomography (Oct) Is a Non-invasive Imaging...mentioning

confidence: 87%

Association between Macular Thickness Profiles and Visual Function in Healthy Eyes: The Singapore Epidemiology of Eye Diseases (SEED) Study

Poh

Tham

Chee

et al. 2020

Sci Rep

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“…Larger extents of 3 mm have also been examined 30 ; however, we chose to review the central 1 mm of the foveal region, because this is where outer retinal disruptions in retinal disease are typically examined. 31 , 32 RPE sinuosity was significantly greater for the central 1 mm vs. the entire B-scan length in AMD groups ( P = 0.04) ( Fig. 2 A), but diagnostic accuracy was unaffected (1 mm aROC, 0.917; entire scan aROC, 0.893) ( Fig.…”

Section: Resultsmentioning

confidence: 99%

RPE Curvature Can Screen for Early and Intermediate AMD

Cheung,

Trinh,

Tee

et al. 2024

Invest. Ophthalmol. Vis. Sci.

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Purpose Diagnosing AMD early optimizes clinical management. However, current diagnostic accuracy is limited by the subjectivity of qualitative diagnostic measures used in clinical practice. This study tests if RPE curvature could be an accurate, quantitative measure for AMD diagnosis. Methods Consecutive patients without AMD or normal aging changes ( n = 111), with normal aging changes ( n = 107), early AMD ( n = 102) and intermediate AMD ( n = 114) were recruited. RPE curvature was calculated based on the sinuosity method of measuring river curvature in environmental science. RPE and Bruch's membrane were manually segmented from optical coherence tomography B-scans and then their lengths automatically extracted using customized MATLAB code. RPE sinuosity was calculated as a ratio of RPE to Bruch's membrane length. Diagnostic accuracy was determined from area under the receiver operator characteristic curve (aROC). Results RPE sinuosity of foveal B-scans could distinguish any eyes with AMD (early or intermediate) from those without AMD (non-AMD or eyes with normal aging changes) with acceptable diagnostic accuracy (aROC = 0.775). Similarly, RPE sinuosity could identify intermediate AMD from all other groups (aROC = 0.871) and distinguish between early and intermediate AMD (aROC = 0.737). RPE sinuosity was significantly associated with known AMD lesions: reticular pseudodrusen ( P < 0.0001) and drusen volume ( P < 0.0001), but not physiological variables such as age, sex, and ethnicity. Conclusions RPE sinuosity is a simple, robust, quantitative biomarker that is amenable to automation and could enhance screening of AMD.

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“…Some authors have found correlation between EZ disruption and significant reduction of macular sensitivity in DMO eyes. Wang et al have reported the macular integrity index (MI) as a useful benchmark of reflecting functional status in DMO [ 52 ]. MI denotes the percentage of threshold drop to measure local functional deterioration, and has been found to be significantly and independently correlated with EZ disruption.…”

Section: Objective Factorsmentioning

confidence: 99%

Indicators of Visual Prognosis in Diabetic Macular Oedema

Sen

Ramasamy

Sivaprasad

2021

JPM

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Diabetic macular oedema (DMO) is an important cause of moderate vision loss in people with diabetes. Advances in imaging technology have shown that a significant proportion of patients with DMO respond sub-optimally to existing treatment options. Identifying associations and predictors of response before treatment is initiated may help in explaining visual prognosis to patients and aid the development of personalized treatment strategies. Imaging features, such as central subfoveal thickness, photoreceptor integrity, disorganization of retinal inner layers, choroidal changes, and macular perfusion, have been reported to be prognostic factors of visual acuity (VA) in DMO. In this review we evaluated each risk factor to understand their relative importance in visual prognostication of DMO eyes post-treatment. Although individually, some of these factors may not be significant predictors, in combination they may form phenotypes that can inform visual prognosis. Stratification based on these phenotypes needs to be developed to progress to personalized medicine for DMO.

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Macular integrity assessment to determine the association between macular microstructure and functional parameters in diabetic macular edema

Cited by 9 publications

References 20 publications

Association between Macular Thickness Profiles and Visual Function in Healthy Eyes: The Singapore Epidemiology of Eye Diseases (SEED) Study

Association between Macular Thickness Profiles and Visual Function in Healthy Eyes: The Singapore Epidemiology of Eye Diseases (SEED) Study

RPE Curvature Can Screen for Early and Intermediate AMD

Indicators of Visual Prognosis in Diabetic Macular Oedema

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