ArticleTranslational vision science & technology2022
Clinical Evaluations of Macular Structure-Function Concordance With and Without Drasdo Displacement.
Article in Translational vision science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The retinal nerve fibre layer thickness slope: a localised biomarker of the structure-function relationship in early glaucoma.The British journal of ophthalmology · 2026Article
- Volumetric Analysis of Perimetry Tests to Guide Central Testing: The Functional Vulnerability Zone.Ophthalmology science · 2026Article
- Perimetric Stimuli Undergoing Complete Spatial Summation Optimize the Detection of Retinal Ganglion Cell Density Gradients in Healthy Observers.Translational vision science & technology · 2025Article
- Rapid Campimetry in glaucoma - correspondence with standard perimetry and OCT.Scientific reports · 2024Article
- Spatial Summation in the Glaucomatous Macula: A Link With Retinal Ganglion Cell Damage.Investigative ophthalmology & visual science · 2023Article
- High sampling resolution optical coherence tomography reveals potential concurrent reductions in ganglion cell-inner plexiform and inner nuclear layer thickness but not in outer retinal thickness in glaucoma.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2023Article
- Deep Capillary Plexus Features in Acute Macular Neuroretinopathy: Novel Insights Based on the Anatomy of Henle Fiber Layer.Investigative ophthalmology & visual science · 2022Article
- Author Response: Expected Improvement in Structure-Function Agreement With Macular Displacement Models.Translational vision science & technology · 2022Article
- Letter to the Editor: Expected Improvement in Structure-Function Agreement With Macular Displacement Models.Translational vision science & technology · 2022Article
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5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The purpose of this study was to compare concordance between ganglion cell-inner plexiform layer (GCIPL) data from the Cirrus optical coherence tomographer (OCT) Ganglion Cell Analysis (GCA) and visual fields (VFs), with and without Drasdo displacement. Methods: From 296 open-angle glaucoma participants, GCIPL deviation and raw thickness data were extracted over locations per the 10-2 VF test grid, with and without application of Drasdo displacement, with global and eccentricity-dependent sensitivities and specificities calculated for both. With OCT and VF data classified as within or outside normative limits, pattern deviation values were compared using paired t-tests and Spearman correlations. Regression models were applied to pattern deviation values as a function of GCIPL thickness, and differences in model performance with and without displacement were compared using extra sums-of-squares F tests. Results: There were small but significant improvements in global specificity without displacement (0.58-0.59 with displacement and 0.61 without displacement), without notable differences in sensitivity (0.77-0.78 with displacement and 0.76-0.78 without displacement). At abnormal VF locations and without displacement, a higher proportion of correct OCT classifications (P = 0.0008) and significant correlation with worsening pattern deviation values were observed (r = 0.50, P = 0.002). Regression models indicated significantly steeper slopes with Drasdo displacement centrally (P = 0.002-0.04). Conclusions: With GCA deviation maps, small improvements in structure-function concordance were observed without displacement, which are unlikely to be clinically meaningful. Using GCIPL thickness data, significantly better structure-function concordance was observed centrally with Drasdo displacement. Translational Relevance: Applying Drasdo displacement on probability-based reports is unlikely to alter clinical impressions of structure-function concordance, but applying displacement with GCIPL thickness data may improve detection of structure-function concordance.
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