Balaskas, K.

Chakravarthy, U.

Crabb, D. P.

Higgins, B. E.

Hogg, R. E.

Kee, F.

Montesano, G.

Naskas, T.

City Research Online

              City, University of London Institutional RepositoryCitation: Higgins, B. E., Montesano, G., Balaskas, K., Naskas, T., Kee, F., Chakravarthy, U., Hogg, R. E. & Crabb, D. P. (2020). Structure-Function Model for Intermediate Age-Related Macular Degeneration Microperimetry Data. Investigative Ophthalmology & Visual Science (IOVS), 61(7), ISSN 0146-0404 This is the published version of the paper. This version of the publication may differ from the final published version. Permanent repository link:  https://openaccess.city.ac.uk/id/eprint/27397/Link to published version: Copyright: City Research Online aims to make research outputs of City, University of London available to a wider audience. Copyright and Moral Rights remain with the author(s) and/or copyright holders. URLs from City Research Online may be freely distributed and linked to.Reuse: Copies of full items can be used for personal research or study, educational, or not-for-profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way. City Research OnlineCity Research Online:            http://openaccess.city.ac.uk/            publications@city.ac.uk1/3Structure-Function Model for Intermediate Age-RelatedMacular Degeneration Microperimetry Data | IOVSiovs.arvojournals.org/article.aspxARVO Annual Meeting Abstract  |   June 2020Structure-Function Model for Intermediate Age-Related Macular DegenerationMicroperimetry DataInvestigative Ophthalmology & Visual Science June 2020, Vol.61, 3241. doi:AbstractPurpose : Better methods for detecting subtle changes in intermediate age-relatedmacular degeneration (iAMD) are needed for trials of new therapies for the condition.One idea is to improve the precision of measures of visual function from Microperimetry(MP) by using structural information acquired by Optical Coherence Tomography (OCT).We test the hypothesis that structural parameters such as drusen thickness andreflectivity of photoreceptors can be used to model MP sensitivity in people with maculardrusen.Methods : Analysis of mesopic MP (MAIA, CenterVue) and OCT (Spectralis, HeidelbergEngineering) data collected as part of the Northern Ireland Sensory Ageing Study wascompleted in 83 people with drusen (>85 µm). Retinal Pigment Epithelium (RPE) andBruch’s Membrane were segmented using a semi-automated algorithm. Fundus imagesfrom MP and the OCT device were registered to map sensitivity values onto the OCTstructural data (Fig 1). Average RPE elevation (taken here as drusen thickness) andphotoreceptor reflectivity were calculated for each MP test location. The structure-function relationship was analysed using a multivariate linear mixed effect modelcorrecting for location eccentricity and age.Results : Subjects had a median (interquartile range [IQR]) age and visual acuity of 75(52, 82) years and 81 (69, 90) letters respectively. Both drusen thickness andphotoreceptor reflectivity were significant predictors of MP sensitivity (p < 0.001 forboth). Mean Absolute Error for prediction was 2.32 dB for the full model, 2.33 dB forphotoreceptor reflectivity alone and 2.38 dB for drusen thickness alone (Fig 2).Conclusions : This model allows structural parameters to predict MP sensitivity inpeople with drusen. With implementation, this structure-function model has the potentialto build structural information into functional testing of disease progression in iAMD.This is a 2020 ARVO Annual Meeting abstract.2/3View OriginalDownload SlideFigure 1. Example of RPE elevation map (left panel, thicker locations in yellow). Thelocation tested with microperimetry (right panel) are reported as red circles.View OriginalDownload SlideFigure 2. Predictive ability of the structure-function model. Horizontal and vertical axesshow predicted and actual sensitivity values respectively. The solid line of unityrepresents the ideal perfect agreement (not regression line). The dashed lines representpublished the 95% test-retest intervals for MP.3/3This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.AdvertisementCopyright © 2015 Association for Research in Vision and Ophthalmology.  

Structure-Function Model for Intermediate Age-Related Macular Degeneration Microperimetry Data

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Structure-Function Model for Intermediate Age-Related Macular Degeneration Microperimetry Data

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