Regional Relationship Between Retinal Nerve Fiber Layer Thickness and Corresponding Visual Field Sensitivity in Glaucomatous Eyes

Kanamori, Akira; Naka, Maiko; Nagai-Kusuhara, Azusa; Yamada, Yuko; Nakamura, Makoto; Negi, Akira

doi:10.1001/archopht.126.11.1500

Cited by 54 publications

(46 citation statements)

References 19 publications

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“…[2][3][4][5][6]12,14,[16][17][18] However, most of these studies used the Stratus time Correlation of localized glaucomatous VF defects and SD-OCT RNFL thinning H Wu et al domain OCT to measure RNFL thickness. [2][3][4]6,13,14,16,17 Although in two of these studies, SD-OCT was used to evaluated RNFL thickness, 5,18 the structure-function correspondence maps made in those studies correlated VF test points to regions of the ONH. In the present study, we created a modified OCT-based structurefunction map that shows significant correlation between localized areas of VF loss and SD-OCT measurements of RNFL thinning.…”

Section: Discussionmentioning

confidence: 99%

“…SAP provides a few parameters (ie, raw threshold values (VF sensitivity), total deviation values, pattern deviation values, MD, and PSD), but which are best fit for functional assessments and statistical analyses? In previous structure-function relationship studies where localized VF defects were correlated to RNFL thickness changes, VF parameters used included mean raw threshold values, 2,9,12,14,15,17 total deviation values, 1,[3][4][5]13,16,18 and pattern deviation values. 16 Total deviation values, which are age-corrected, are less influenced by age than raw threshold values, and they may be more sensitive to detect early diffuse loss compared with pattern deviation values.…”

Section: Discussionmentioning

confidence: 99%

“…As OCT measures RNFL thickness away from the optic disc margin and as retinal nerve fibers do not project radially from the optic disc, the retinotopic orientation is different between a site on the optic disc margin and that on the concentric RNFL scan circle. 2 Theoretically, Kanamori's map is more suitable in structure-function studies where RNFL thickness is measured by an OCT scan circle. For the present structure-function study, we modified the RNFL sector regions in Kanamori's study in order to fit the six RNFL sectors in the Spectralis OCT printout (Figure 1).…”

Section: Discussionmentioning

confidence: 99%

“…Significant correlations have been described between glaucomatous structural changes of the optic disc and/or retinal nerve fiber layer (RNFL) and functional changes on VF testing. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] Determining whether there is good correlation between localized VF defects and localized RNFL defects may be important in deciding whether glaucomatous progression has occurred and in understanding the pathogenesis of the disease.…”

Section: Introductionmentioning

confidence: 99%

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Correlation of localized glaucomatous visual field defects and spectral domain optical coherence tomography retinal nerve fiber layer thinning using a modified structure–function map for OCT

Boer

Chen

et al. 2015

Eye

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Purpose To study the correlation between glaucomatous visual field (VF) defects assessed by standard automated perimetry (SAP) and peripapillary retinal nerve fiber layer (RNFL) thinning measured by spectral domain optical coherence tomography (OCT) using a modified OCT-based peripapillary RNFL structure-function map. Patients and methods Perimetric glaucoma patients and age-matched normal control subjects were recruited from a university hospital clinic. All eyes underwent testing with the Spectralis spectral domain OCT and SAP on the same day. An OCT-based correspondence map, which correlated VF areas with peripapillary RNFL sectors was created to evaluate the relationship between glaucomatous RNFL thinning and VF loss in six nerve fiber layer bundle areas. Correlations of RNFL thinning with corresponding VF defects were examined using Spearman rankorder correlations. To demonstrate the association between localized VF defects and RNFL thickness, the theoretical curves were made according to an established log-linear model. The measured RNFL thickness values and VF defects were presented in the same scatterplot for each sector. Results Fifty-six glaucoma patients and 85 normal subjects were included in the study.Significant association between localized VF loss and RNFL thinning was found in corresponding areas. Data from the current study fit well with established log-linear models, which compare RNFL thickness values with VF defects. Conclusion Analysis of RNFL thinning in eyes with localized glaucomatous VF defects showed good structure-function correlation in a new OCT-based structure-function correspondence map.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Correlation of localized glaucomatous visual field defects and spectral domain optical coherence tomography retinal nerve fiber layer thinning using a modified structure–function map for OCT

Boer

Chen

et al. 2015

Eye

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“…Furthermore, ONH angles derived from an optimized RNFL model, as done in this study, relate any location in the visual field to an angle at the ONH, without being restricted to a certain pattern of test locations. Several previous studies explored structure-function relationships by calculating correlations or regression models between visual field sensitivities and measurements of the RNFL thickness, as determined by optical coherence tomography [30][31][32] or by a Heidelberg Retina Tomograph. 33 Our method is able to establish and optimize such a relationship without additional measurements, thereby showing a clear and strong structure-function relationship between the RNFL morphology and the visual field threshold deviation values.…”

Section: Discussionmentioning

confidence: 99%

Optimizing Structure–Function Relationship by Maximizing Correspondence Between Glaucomatous Visual Fields and Mathematical Retinal Nerve Fiber Models

Erler

Bryan

Eilers

et al. 2014

Invest. Ophthalmol. Vis. Sci.

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Citation: Erler NS, Bryan SR, Eilers PHC, Lesaffre EMEH, Lemij HG, Vermeer KA. Optimizing structure-function relationship by maximizing correspondence between glaucomatous visual fields and mathematical retinal nerve fiber models. Invest Ophthalmol Vis Sci. 2014;55:235055: -235755: . DOI:10.1167 PURPOSE. To introduce a method to optimize structural retinal nerve fiber layer (RNFL) models based on glaucomatous visual field data and to show how such an optimized model can be used to reduce noise in visual fields while probably preserving clinically important features. METHODS.Correlation coefficients between age-adjusted deviation values of pairs of visual field test locations were calculated from 103 visual fields of eyes with moderate glaucomatous damage. Distances between those test locations were defined for various parameters of a mathematical RNFL model. Then, the correspondence between the structural and functional data was defined by the spread, or variance, of the correlation coefficients for all distances. The model parameters that minimized this spread constituted the optimized model. To reduce noise in visual fields, the optimized model was used to smooth visual field data according to the RNFL's structure. The resulting fields were compared with visual fields that were smoothed based on the regular testing grid. RESULTS.The optimal parameters for the RNFL model reduced the variance of the correlation coefficients by 78% and were well within the range of parameters previously determined from fundus photographs. Smoothing the visual fields based on the optimized RNFL model strongly reduced noise while keeping important features.CONCLUSIONS. Mathematic RNFL models can be optimized based on visual field data, resulting in a strong structure-function relationship. Taking the RNFL's shape, as defined by such an optimized model, into account when smoothing visual fields results in better noise reduction while preserving important details.

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OCT in Amblyopia

Nucci¹,

Lembo²,

Lucentini³

et al. 2020

OCT and Imaging in Central Nervous System Diseases

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Regional Relationship Between Retinal Nerve Fiber Layer Thickness and Corresponding Visual Field Sensitivity in Glaucomatous Eyes

Cited by 54 publications

References 19 publications

Correlation of localized glaucomatous visual field defects and spectral domain optical coherence tomography retinal nerve fiber layer thinning using a modified structure–function map for OCT

Correlation of localized glaucomatous visual field defects and spectral domain optical coherence tomography retinal nerve fiber layer thinning using a modified structure–function map for OCT

Optimizing Structure–Function Relationship by Maximizing Correspondence Between Glaucomatous Visual Fields and Mathematical Retinal Nerve Fiber Models

OCT in Amblyopia

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