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Multicenter Normative Data for Mesopic Microperimetry

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posted on 2025-03-18, 11:02 authored by Maximilian Pfau, Jasleen K Jolly, Jason Charng, Leon von der Emde, Philipp L Müller, Georg Ansari, Kristina Pfau, Fred K Chen, Zhichao Wu

Purpose: The purpose of this study was 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 of healthy eyes from five independent study groups and one previously available dataset were included (1137 tests from 531 eyes of 432 participants [223 women and 209 men]). Linear mixed models (LMMs) were fitted to the data to obtain interpretable hill-of-vision models. A panel of regression models to predict normative data was 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: 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 decibel [dB]; 95% confidence interval [CI] = 1.9–2.36 dB) and miscalibration area (0.13; 95% CI = 0.07–0.19). However, a parsimonious linear model provided a comparable MAE (2.17 dB; 95% CI = 1.93–2.4 dB) and a similar miscalibration area (0.14; 95% CI = 0.08–0.2).

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.

History

Refereed

  • Yes

Volume

65

Issue number

12

Page range

27-27

Publication title

Investigative Ophthalmology & Visual Science

ISSN

1552-5783

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

File version

  • Published version

Language

  • eng

Affiliated with

  • Faculty of Arts, Humanities, Education & Social Sciences Outputs

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