Comparison of a novel ultra-wide field three color scanning laser (Optos Red-Green-Blue) to other retinal imaging modalities in imaging of choroidal or retinal lesions

Abstract

Purpose : To evaluate a novel three color ultra-wide-field (UWF) scanning laser imaging of retinal and choroidal lesions and to compare to more traditional imaging including conventional fundus photography (CFP, Topcon, Japan), Spectralis Multicolor Imaging (MCI, Heidelberg Engineering, Germany), UWF Optos Red-Green (RG, Optos Plc, Scotland) imaging.

Methods : In this retrospective, single center, cross-sectional study, we imaged 80 eyes with lesions including tumor-like lesions, drusen, choroidal neovascularization, retinal tears, bone spicule patterns and intraretinal hemorrhages with the Optos Red-Green-Blue (RGB) as well as conventional Optos RG, Topcon color montage (dilated) and Heidelberg Multicolor 55-degree steered images. The paired images of patients with retinal or choroidal lesions were assessed for diagnosis based on CFP imaging and then evaluated in comparison to CFP using a grading scale (-1 to 1).

Results : Eighty eyes of 43 patients with 116 retinal and choroidal pathologies as well as 59 optic nerve imaging that underwent same-day imaging with CFP, MCI, Optos RG, Optos RGB were included in the study. Across all subgroups, Optos RGB was significantly superior in image diagnostic information as compared to gold standard Topcon. Other modalities were inferior. This was true comparing to Topcon baseline to both Optos RG (p=0.0225) as well as MCI (p<0.001). Optos RGB was superior to MCI (p<0.001). Although Optos RGB was superior overall, it was not superior to Optos RG within the subgroup of pigmented choroidal lesions (p=0.011).

Conclusions : The appearance of choroidal or retinal lesions on Optos RGB are different than on Optos RG. Though Optos RGB provides more accurate information comparing to Optos RG with Topcon baseline, it is shown to be inferior to Optos RG regarding pigmented choroidal lesions.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.