Evidence Hub

Use of a Retinal Phantom to Facilitate Adaptive Optics Scanning Light Ophthalmoscopy Imaging in a Multicenter Clinical Trial

Kreis J, Wong J, Yang Y, Bharadwaj P, Cooper RF, Gaffney M, Govindasamy N, Green AL et al.

Translational vision science & technology, 2026

Abstract

Purpose: To describe the use of a model eye-mounted retinal phantom to support adaptive optics scanning light ophthalmoscope (AOSLO) imaging in a multicenter clinical trial (NCT05537220).

Methods: Six three-dimensional-printed retinal phantoms were mounted in model eyes. These phantoms contain equally spaced arrays of reflective "cone-like" structures mimicking foveal cone photoreceptor spacing. Intrasession repeatability of phantom imaging was assessed for all six phantoms on two custom AOSLOs. One phantom was also imaged on two additional AOSLOs to assess interdevice reproducibility. Lastly, each of the six phantoms was imaged longitudinally at their respective trial sites.

Results: Intrasession repeatability of phantom-derived horizontal "cone" spacing measures was high for two different AOSLOs. However, intersystem differences were found in the average horizontal "cone" spacing of five of eight patches assessed. Across four unique AOSLOs, intersystem differences were found in the average horizontal "cone" spacing of seven of eight patches assessed. A linear regression analysis of longitudinal phantom imaging with a single AOSLO revealed few significant changes in horizontal "cone" spacing over the course of about 2 years. Similar results were observed for vertical "cone" spacing measures across the three experiments.

Conclusions: Longitudinal spacing measurements were generally stable in our study. However, small but significant differences in spacing were observed…

How strong is the evidence?

Evidence Hub reads this as a clinical trial, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free