Multicenter normative data for mesopic microperimetry Article Swipe
Maximilian Pfau
,
Jasleen K. Jolly
,
Jason Charng
,
Leon von der Emde
,
Philipp L. Müller
,
Georg Ansari
,
Kristina Pfau
,
Fred K. Chen
,
Zhichao Wu
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.02.05.24302327
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.02.05.24302327
Purpose To provide a large, multi-center normative dataset for the Macular Integrity Assessment (MAIA) microperimeter and compare the goodness-of-fit and prediction interval calibration-error for a panel of hill-of-vision models. Methods Microperimetry examinations from five independent study groups and one previously available dataset were included. Linear mixed models (LMMs) were fitted to the data to obtain interpretable hill-of-vision models. For predicting age-adjusted normative values, an array of regression models were compared using cross-validation with site-wise splits. The mean absolute error (MAE) and miscalibration area (area between the calibration curve and the ideal diagonal) were evaluated as the performance measures. Results 1,052 tests from 531 eyes of 432 participants were included. Based on the parameters ‘participant age’, ‘eccentricity from the fovea’, ‘overlap with the central fixation target’ and ‘eccentricity along the four principal meridians’, a Bayesian mixed model had the lowest MAE (2.13 dB; 95% confidence interval [CI] = 1.86, 2.40 dB) and miscalibration area (0.14; 95% CI = 0.07, 0.20). However, a parsimonious linear model provided a comparable MAE (2.16 dB; 95% CI = 1.89, 2.43 dB) and a similar miscalibration area (0.14; 95% CI = 0.08, 0.20). Conclusions Normal variations in visual sensitivity on mesopic microperimetry can be effectively explained by a linear model that includes age and eccentricity. The dataset and a code vignette are provided for estimating normative values across a large range of retinal locations, applicable to customized testing patterns.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2024.02.05.24302327
- https://www.medrxiv.org/content/medrxiv/early/2024/02/06/2024.02.05.24302327.full.pdf
- OA Status
- green
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391579925
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391579925Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2024.02.05.24302327Digital Object Identifier
- Title
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Multicenter normative data for mesopic microperimetryWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-02-06Full publication date if available
- Authors
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Maximilian Pfau, Jasleen K. Jolly, Jason Charng, Leon von der Emde, Philipp L. Müller, Georg Ansari, Kristina Pfau, Fred K. Chen, Zhichao WuList of authors in order
- Landing page
-
https://doi.org/10.1101/2024.02.05.24302327Publisher landing page
- PDF URL
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https://www.medrxiv.org/content/medrxiv/early/2024/02/06/2024.02.05.24302327.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- OA URL
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https://www.medrxiv.org/content/medrxiv/early/2024/02/06/2024.02.05.24302327.full.pdfDirect OA link when available
- Concepts
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Microperimetry, Confidence interval, Statistics, Mathematics, Calibration, Goodness of fit, Medicine, Ophthalmology, Visual acuityTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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42Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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